索引 _ | A | B | C | D | E | F | G | H | I | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | 模 _ __init__() (secretflow.data.base.Partition 方法) __init__() (secretflow.data.FedNdarray 方法) __init__() (secretflow.data.horizontal.dataframe.HDataFrame 方法) __init__() (secretflow.data.horizontal.HDataFrame 方法) __init__() (secretflow.data.horizontal.sampler.PoissonDataSampler 方法) __init__() (secretflow.data.mix.dataframe.MixDataFrame 方法) __init__() (secretflow.data.mix.MixDataFrame 方法) __init__() (secretflow.data.ndarray.FedNdarray 方法) __init__() (secretflow.data.vertical.dataframe.VDataFrame 方法) __init__() (secretflow.data.vertical.VDataFrame 方法) __init__() (secretflow.Device 方法) __init__() (secretflow.device.device.base.Device 方法) __init__() (secretflow.device.device.base.DeviceObject 方法) __init__() (secretflow.device.device.base.MoveConfig 方法) __init__() (secretflow.device.device.heu.HEU 方法) __init__() (secretflow.device.device.heu.HEUActor 方法) __init__() (secretflow.device.device.heu_object.HEUObject 方法) __init__() (secretflow.device.device.pyu.PYU 方法) __init__() (secretflow.device.device.pyu.PYUObject 方法) __init__() (secretflow.device.device.register.Registrar 方法) __init__() (secretflow.device.device.spu.SPU 方法) __init__() (secretflow.device.device.spu.SPUIO 方法) __init__() (secretflow.device.device.spu.SPUObject 方法) __init__() (secretflow.device.device.spu.SPUValueMeta 方法) __init__() (secretflow.device.link.Link 方法) __init__() (secretflow.DeviceObject 方法) __init__() (secretflow.HEU 方法) __init__() (secretflow.HEUObject 方法) __init__() (secretflow.ml.boost.homo_boost.boost_core.callback.FedCallbackContainer 方法) __init__() (secretflow.ml.boost.homo_boost.boost_core.core.FedBooster 方法) __init__() (secretflow.ml.boost.homo_boost.homo_booster.SFXgboost 方法) __init__() (secretflow.ml.boost.homo_boost.homo_decision_tree.HomoDecisionTree 方法) __init__() (secretflow.ml.boost.homo_boost.SFXgboost 方法) __init__() (secretflow.ml.boost.homo_boost.tree_core.criterion.XgboostCriterion 方法) __init__() (secretflow.ml.boost.homo_boost.tree_core.decision_tree.DecisionTree 方法) __init__() (secretflow.ml.boost.homo_boost.tree_core.feature_histogram.HistogramBag 方法) __init__() (secretflow.ml.boost.homo_boost.tree_core.feature_importance.FeatureImportance 方法) __init__() (secretflow.ml.boost.homo_boost.tree_core.loss_function.LossFunction 方法) __init__() (secretflow.ml.boost.homo_boost.tree_core.node.Node 方法) __init__() (secretflow.ml.boost.homo_boost.tree_core.splitter.SplitInfo 方法) __init__() (secretflow.ml.boost.homo_boost.tree_core.splitter.Splitter 方法) __init__() (secretflow.ml.boost.homo_boost.tree_param.TreeParam 方法) __init__() (secretflow.ml.boost.ss_xgb_v.core.xgb_tree.XgbTree 方法) __init__() (secretflow.ml.boost.ss_xgb_v.model.Xgb 方法) __init__() (secretflow.ml.boost.ss_xgb_v.model.XgbModel 方法) __init__() (secretflow.ml.boost.ss_xgb_v.Xgb 方法) __init__() (secretflow.ml.boost.ss_xgb_v.XgbModel 方法) __init__() (secretflow.ml.linear.fl_lr_v.FlLogisticRegressionVertical 方法) __init__() (secretflow.ml.linear.FlLogisticRegressionVertical 方法) __init__() (secretflow.ml.linear.hess_sgd.HESSLogisticRegression 方法) __init__() (secretflow.ml.linear.hess_sgd.model.HESSLogisticRegression 方法) __init__() (secretflow.ml.linear.HESSLogisticRegression 方法) __init__() (secretflow.ml.linear.linear_model.LinearModel 方法) __init__() (secretflow.ml.linear.LinearModel 方法) __init__() (secretflow.ml.linear.ss_sgd.model.SSRegression 方法) __init__() (secretflow.ml.linear.ss_sgd.SSRegression 方法) __init__() (secretflow.ml.linear.SSRegression 方法) __init__() (secretflow.ml.nn.fl.backend.tensorflow.fl_base.BaseModel 方法) __init__() (secretflow.ml.nn.fl.backend.tensorflow.fl_base.BaseTFModel 方法) __init__() (secretflow.ml.nn.fl.backend.tensorflow.strategy.fed_scr.FedSCR 方法) __init__() (secretflow.ml.nn.fl.backend.tensorflow.strategy.fed_stc.FedSTC 方法) __init__() (secretflow.ml.nn.fl.backend.torch.fl_base.BaseTorchModel 方法) __init__() (secretflow.ml.nn.fl.backend.torch.strategy.fed_scr.FedSCR 方法) __init__() (secretflow.ml.nn.fl.backend.torch.strategy.fed_stc.FedSTC 方法) __init__() (secretflow.ml.nn.fl.backend.torch.utils.TorchModel 方法) __init__() (secretflow.ml.nn.fl.fl_model.FLModel 方法) __init__() (secretflow.ml.nn.fl.metrics.AUC 方法) __init__() (secretflow.ml.nn.fl.metrics.Default 方法) __init__() (secretflow.ml.nn.fl.metrics.Mean 方法) __init__() (secretflow.ml.nn.fl.metrics.Precision 方法) __init__() (secretflow.ml.nn.fl.metrics.Recall 方法) __init__() (secretflow.ml.nn.fl.sparse.SCRSparse 方法) __init__() (secretflow.ml.nn.fl.sparse.STCSparse 方法) __init__() (secretflow.ml.nn.fl.strategy_dispatcher.Dispatcher 方法) __init__() (secretflow.ml.nn.fl.utils.History 方法) __init__() (secretflow.ml.nn.FLModel 方法) __init__() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.ModelPartition 方法) __init__() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.SLBaseModel 方法) __init__() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.SLBaseTFModel 方法) __init__() (secretflow.ml.nn.sl.backend.tensorflow.utils.custom_loss 方法) __init__() (secretflow.ml.nn.sl.sl_model.SLModel 方法) __init__() (secretflow.ml.nn.SLModel 方法) __init__() (secretflow.preprocessing.binning.homo_binning.HomoBinning 方法) __init__() (secretflow.preprocessing.binning.homo_binning_base.SplitPointNode 方法) __init__() (secretflow.preprocessing.binning.kernels.base_binning.BaseBinning 方法) __init__() (secretflow.preprocessing.binning.kernels.quantile_binning.QuantileBinning 方法) __init__() (secretflow.preprocessing.binning.kernels.quantile_summaries.QuantileSummaries 方法) __init__() (secretflow.preprocessing.binning.kernels.quantile_summaries.Stats 方法) __init__() (secretflow.preprocessing.binning.vert_woe_binning.VertWoeBinning 方法) __init__() (secretflow.preprocessing.discretization.KBinsDiscretizer 方法) __init__() (secretflow.preprocessing.encoder.OneHotEncoder 方法) __init__() (secretflow.preprocessing.KBinsDiscretizer 方法) __init__() (secretflow.preprocessing.LogroundTransformer 方法) __init__() (secretflow.preprocessing.OneHotEncoder 方法) __init__() (secretflow.preprocessing.scaler.StandardScaler 方法) __init__() (secretflow.preprocessing.StandardScaler 方法) __init__() (secretflow.preprocessing.transformer.LogroundTransformer 方法) __init__() (secretflow.PYU 方法) __init__() (secretflow.PYUObject 方法) __init__() (secretflow.security.aggregation.plain_aggregator.PlainAggregator 方法) __init__() (secretflow.security.aggregation.PlainAggregator 方法) __init__() (secretflow.security.aggregation.secure_aggregator.SecureAggregator 方法) __init__() (secretflow.security.aggregation.SecureAggregator 方法) __init__() (secretflow.security.aggregation.spu_aggregator.SPUAggregator 方法) __init__() (secretflow.security.aggregation.SPUAggregator 方法) __init__() (secretflow.security.compare.device_comparator.DeviceComparator 方法) __init__() (secretflow.security.compare.DeviceComparator 方法) __init__() (secretflow.security.DeviceComparator 方法) __init__() (secretflow.security.diffie_hellman.DiffieHellman 方法) __init__() (secretflow.security.PlainAggregator 方法) __init__() (secretflow.security.privacy.DPStrategy 方法) __init__() (secretflow.security.privacy.DPStrategyFL 方法) __init__() (secretflow.security.privacy.GaussianEmbeddingDP 方法) __init__() (secretflow.security.privacy.GaussianModelDP 方法) __init__() (secretflow.security.privacy.LabelDP 方法) __init__() (secretflow.security.privacy.mechanism.tensorflow.layers.EmbeddingDP 方法) __init__() (secretflow.security.privacy.mechanism.tensorflow.layers.GaussianEmbeddingDP 方法) __init__() (secretflow.security.privacy.mechanism.tensorflow.layers.LabelDP 方法) __init__() (secretflow.security.privacy.mechanism.tensorflow.mechanism_fl.GaussianModelDP 方法) __init__() (secretflow.security.privacy.strategy.DPStrategy 方法) __init__() (secretflow.security.privacy.strategy_fl.DPStrategyFL 方法) __init__() (secretflow.security.SecureAggregator 方法) __init__() (secretflow.security.SPUAggregator 方法) __init__() (secretflow.SPU 方法) __init__() (secretflow.SPUObject 方法) __init__() (secretflow.stats.biclassification_eval.BiClassificationEval 方法) __init__() (secretflow.stats.BiClassificationEval 方法) __init__() (secretflow.stats.core.biclassification_eval_core.EqBinReport 方法) __init__() (secretflow.stats.core.biclassification_eval_core.PrReport 方法) __init__() (secretflow.stats.core.biclassification_eval_core.Report 方法) __init__() (secretflow.stats.core.biclassification_eval_core.SummaryReport 方法) __init__() (secretflow.stats.regression_eval.RegressionEval 方法) __init__() (secretflow.stats.RegressionEval 方法) __init__() (secretflow.stats.score_card.ScoreCard 方法) __init__() (secretflow.stats.ScoreCard 方法) __init__() (secretflow.stats.ss_pearsonr_v.PearsonR 方法) __init__() (secretflow.stats.ss_pvalue_v.PVlaue 方法) __init__() (secretflow.stats.ss_vif_v.VIF 方法) __init__() (secretflow.utils.compressor.RandomSparse 方法) __init__() (secretflow.utils.compressor.SparseCompressor 方法) __init__() (secretflow.utils.compressor.TopkSparse 方法) __init__() (secretflow.utils.ndarray_bigint.BigintNdArray 方法) __init__() (secretflow.utils.simulation.tf_gnn_model.GraphAttention 方法) __init__() (secretflow.utils.simulation.tf_gnn_model.ServerNet 方法) _discretizer(secretflow.preprocessing.discretization.KBinsDiscretizer 属性) _discretizer(secretflow.preprocessing.KBinsDiscretizer 属性) _encoder(secretflow.preprocessing.encoder.LabelEncoder 属性) _encoder(secretflow.preprocessing.encoder.OneHotEncoder 属性) _encoder(secretflow.preprocessing.LabelEncoder 属性) _encoder(secretflow.preprocessing.OneHotEncoder 属性) _n_bins(secretflow.preprocessing.discretization.KBinsDiscretizer 属性) _n_bins(secretflow.preprocessing.KBinsDiscretizer 属性) _scaler(secretflow.preprocessing.MinMaxScaler 属性) _scaler(secretflow.preprocessing.scaler.MinMaxScaler 属性) _scaler(secretflow.preprocessing.scaler.StandardScaler 属性) _scaler(secretflow.preprocessing.StandardScaler 属性) _strategy(secretflow.preprocessing.discretization.KBinsDiscretizer 属性) _strategy(secretflow.preprocessing.KBinsDiscretizer 属性) _with_mean(secretflow.preprocessing.scaler.StandardScaler 属性) _with_mean(secretflow.preprocessing.StandardScaler 属性) _with_std(secretflow.preprocessing.scaler.StandardScaler 属性) _with_std(secretflow.preprocessing.StandardScaler 属性) A abnormal_list(secretflow.preprocessing.binning.homo_binning.HomoBinning 属性) abnormal_list(secretflow.preprocessing.binning.kernels.quantile_binning.QuantileBinning 属性) abnormal_list(secretflow.preprocessing.binning.kernels.quantile_summaries.QuantileSummaries 属性) add()(在 secretflow.device.kernels.heu 模块中) add_gain() (secretflow.ml.boost.homo_boost.tree_core.feature_importance.FeatureImportance 方法) add_log()(在 secretflow.security.privacy.accounting.log_utils 模块中) add_split() (secretflow.ml.boost.homo_boost.tree_core.feature_importance.FeatureImportance 方法) after_iteration() (secretflow.ml.boost.homo_boost.boost_core.callback.FedCallbackContainer 方法) aggregate_metrics()(在 secretflow.ml.nn.fl.metrics 模块中) aggregator(secretflow.data.horizontal.dataframe.HDataFrame 属性), [1] aggregator(secretflow.data.horizontal.HDataFrame 属性), [1] aggregator(secretflow.preprocessing.binning.homo_binning.HomoBinning 属性) Aggregator(secretflow.security 中的类) Aggregator(secretflow.security.aggregation 中的类) Aggregator(secretflow.security.aggregation.aggregator 中的类) aim_rank(secretflow.preprocessing.binning.homo_binning_base.SplitPointNode 属性), [1] aligned(secretflow.data.vertical.dataframe.VDataFrame 属性), [1] aligned(secretflow.data.vertical.VDataFrame 属性), [1] allow_duplicate(secretflow.preprocessing.binning.homo_binning.HomoBinning 属性) allow_duplicate(secretflow.preprocessing.binning.kernels.quantile_binning.QuantileBinning 属性) allow_error_rank(secretflow.preprocessing.binning.homo_binning_base.SplitPointNode 属性), [1] AlreadyExistsError apply_gradients() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.ModelPartition 方法) arange()(在 secretflow.utils.ndarray_bigint 模块中) astype() (secretflow.data.base.Partition 方法) astype() (secretflow.data.FedNdarray 方法) astype() (secretflow.data.horizontal.dataframe.HDataFrame 方法) astype() (secretflow.data.horizontal.HDataFrame 方法) astype() (secretflow.data.mix.dataframe.MixDataFrame 方法) astype() (secretflow.data.mix.MixDataFrame 方法) astype() (secretflow.data.ndarray.FedNdarray 方法) astype() (secretflow.data.vertical.dataframe.VDataFrame 方法) astype() (secretflow.data.vertical.VDataFrame 方法) auc()(在 secretflow.stats.core.biclassification_eval_core 模块中) AUC(secretflow.ml.nn.fl.metrics 中的类) auc(secretflow.stats.core.biclassification_eval_core.SummaryReport 属性) audit_log_path(secretflow.preprocessing.binning.vert_woe_binning.VertWoeBinning 属性) average() (secretflow.security.aggregation.Aggregator 方法) average() (secretflow.security.aggregation.aggregator.Aggregator 方法) average() (secretflow.security.aggregation.plain_aggregator.PlainAggregator 方法) average() (secretflow.security.aggregation.PlainAggregator 方法) average() (secretflow.security.aggregation.secure_aggregator.SecureAggregator 方法) average() (secretflow.security.aggregation.SecureAggregator 方法) average() (secretflow.security.aggregation.spu_aggregator.SPUAggregator 方法) average() (secretflow.security.aggregation.SPUAggregator 方法) average() (secretflow.security.Aggregator 方法) average() (secretflow.security.PlainAggregator 方法) average() (secretflow.security.SecureAggregator 方法) average() (secretflow.security.SPUAggregator 方法) avg_score(secretflow.stats.core.biclassification_eval_core.EqBinReport 属性) B backward() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.ModelPartition 方法) bad_label_value(secretflow.stats.score_card.ScoreCard 属性) bad_label_value(secretflow.stats.ScoreCard 属性) base_backward() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.SLBaseModel 方法) base_backward() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.SLBaseTFModel 方法) base_forward() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.SLBaseModel 方法) base_forward() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.SLBaseTFModel 方法) base_score(secretflow.ml.boost.homo_boost.tree_param.TreeParam 属性), [1] BaseBinning(secretflow.preprocessing.binning.kernels.base_binning 中的类) BaseModel(secretflow.ml.nn.fl.backend.tensorflow.fl_base 中的类) BaseModule(secretflow.ml.nn.fl.backend.torch.utils 中的类) BaseTFModel(secretflow.ml.nn.fl.backend.tensorflow.fl_base 中的类) BaseTorchModel(secretflow.ml.nn.fl.backend.torch.fl_base 中的类) batch_query_value() (secretflow.preprocessing.binning.kernels.quantile_summaries.QuantileSummaries 方法) batch_sampler()(在 secretflow.ml.nn.fl.backend.tensorflow.sampler 模块中) batch_sampler()(在 secretflow.ml.nn.fl.backend.torch.sampler 模块中) best_bid(secretflow.ml.boost.homo_boost.tree_core.splitter.SplitInfo 属性), [1] best_fid(secretflow.ml.boost.homo_boost.tree_core.splitter.SplitInfo 属性) BiClassificationEval(secretflow.stats 中的类) BiClassificationEval(secretflow.stats.biclassification_eval 中的类) bid(secretflow.ml.boost.homo_boost.tree_core.node.Node 属性), [1] BigintNdArray(secretflow.utils.ndarray_bigint 中的类) bin_evaluate()(在 secretflow.stats.core.biclassification_eval_core 模块中) bin_idx_name(secretflow.preprocessing.binning.kernels.quantile_binning.QuantileBinning 属性) bin_indexes(secretflow.preprocessing.binning.homo_binning.HomoBinning 属性) bin_names(secretflow.preprocessing.binning.homo_binning.HomoBinning 属性) bin_names(secretflow.preprocessing.binning.vert_woe_binning.VertWoeBinning 属性) bin_num(secretflow.preprocessing.binning.homo_binning.HomoBinning 属性) bin_num(secretflow.preprocessing.binning.kernels.quantile_binning.QuantileBinning 属性) bin_num(secretflow.preprocessing.binning.vert_woe_binning.VertWoeBinning 属性) bin_split_points(secretflow.ml.boost.homo_boost.homo_decision_tree.HomoDecisionTree 属性) bin_split_points(secretflow.ml.boost.homo_boost.tree_core.decision_tree.DecisionTree 属性) binary_clf_curve()(在 secretflow.stats.core.biclassification_eval_core 模块中) binary_op() (secretflow.ml.boost.homo_boost.tree_core.feature_histogram.HistogramBag 方法) binary_op()(在 secretflow.data.ndarray 模块中) binary_roc_auc()(在 secretflow.stats.core.biclassification_eval_core 模块中) binning() (secretflow.preprocessing.binning.vert_woe_binning.VertWoeBinning 方法) binning_method(secretflow.preprocessing.binning.vert_woe_binning.VertWoeBinning 属性) build() (secretflow.utils.simulation.tf_gnn_model.GraphAttention 方法) build() (secretflow.utils.simulation.tf_gnn_model.ServerNet 方法) build_dataset() (secretflow.ml.nn.fl.backend.tensorflow.fl_base.BaseModel 方法) build_dataset() (secretflow.ml.nn.fl.backend.tensorflow.fl_base.BaseTFModel 方法) build_dataset() (secretflow.ml.nn.fl.backend.torch.fl_base.BaseTorchModel 方法) build_dataset() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.SLBaseModel 方法) build_dataset() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.SLBaseTFModel 方法) build_dataset_from_csv() (secretflow.ml.nn.fl.backend.tensorflow.fl_base.BaseTFModel 方法) build_dataset_from_csv() (secretflow.ml.nn.fl.backend.torch.fl_base.BaseTorchModel 方法) C cache(secretflow.ml.boost.homo_boost.boost_core.core.FedBooster 属性) cal_delta()(在 secretflow.security.privacy.accounting.rdp_accountant 模块中) cal_eps()(在 secretflow.security.privacy.accounting.rdp_accountant 模块中) cal_local_hist_bags()(secretflow.ml.boost.homo_boost.homo_decision_tree.HomoDecisionTree 静态方法) cal_mu_poisson()(在 secretflow.security.privacy.accounting.gdp_accountant 模块中) cal_mu_uniform()(在 secretflow.security.privacy.accounting.gdp_accountant 模块中) cal_root_node() (secretflow.ml.boost.homo_boost.homo_decision_tree.HomoDecisionTree 方法) cal_split_info_list() (secretflow.ml.boost.homo_boost.homo_decision_tree.HomoDecisionTree 方法) calculate_histogram()(secretflow.ml.boost.homo_boost.tree_core.feature_histogram.FeatureHistogram 静态方法) calculate_single_histogram()(secretflow.ml.boost.homo_boost.tree_core.feature_histogram.FeatureHistogram 静态方法) call() (secretflow.security.privacy.GaussianEmbeddingDP 方法) call() (secretflow.security.privacy.mechanism.tensorflow.layers.EmbeddingDP 方法) call() (secretflow.security.privacy.mechanism.tensorflow.layers.GaussianEmbeddingDP 方法) call() (secretflow.utils.simulation.tf_gnn_model.GraphAttention 方法) call() (secretflow.utils.simulation.tf_gnn_model.ServerNet 方法) call_model_fn() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.ModelPartition 方法) check_params() (secretflow.ml.boost.homo_boost.homo_booster.SFXgboost 方法) check_params() (secretflow.ml.boost.homo_boost.SFXgboost 方法) check_same_partition_shapes()(在 secretflow.data.ndarray 模块中) chimerge_init_bins(secretflow.preprocessing.binning.vert_woe_binning.VertWoeBinning 属性) chimerge_target_bins(secretflow.preprocessing.binning.vert_woe_binning.VertWoeBinning 属性) chimerge_target_pvalue(secretflow.preprocessing.binning.vert_woe_binning.VertWoeBinning 属性) clients(secretflow.device.link.Link 属性) cluster_def()(在 secretflow.utils.testing 模块中) col_name_maps(secretflow.preprocessing.binning.kernels.quantile_binning.QuantileBinning 属性) cols_dict(secretflow.preprocessing.binning.kernels.quantile_binning.QuantileBinning 属性) colsample_byleval(secretflow.ml.boost.homo_boost.tree_param.TreeParam 属性) colsample_bylevel(secretflow.ml.boost.homo_boost.tree_param.TreeParam 属性) colsample_bytree(secretflow.ml.boost.homo_boost.tree_param.TreeParam 属性), [1] columns_filter() (secretflow.ml.boost.homo_boost.tree_core.decision_tree.DecisionTree 方法) columns(secretflow.data.base.Partition 属性) columns(secretflow.data.horizontal.dataframe.HDataFrame 属性) columns(secretflow.data.horizontal.HDataFrame 属性) columns(secretflow.data.mix.dataframe.MixDataFrame 属性) columns(secretflow.data.mix.MixDataFrame 属性) columns(secretflow.data.vertical.dataframe.VDataFrame 属性) columns(secretflow.data.vertical.VDataFrame 属性) comb_log()(在 secretflow.security.privacy.accounting.log_utils 模块中) comparator(secretflow.data.horizontal.dataframe.HDataFrame 属性), [1] comparator(secretflow.data.horizontal.HDataFrame 属性), [1] Comparator(secretflow.security 中的类) Comparator(secretflow.security.compare 中的类) Comparator(secretflow.security.compare.comparator 中的类) compress() (secretflow.preprocessing.binning.kernels.quantile_summaries.QuantileSummaries 方法) compress() (secretflow.utils.compressor.Compressor 方法) compress() (secretflow.utils.compressor.SparseCompressor 方法) compress_thres(secretflow.preprocessing.binning.homo_binning.HomoBinning 属性) compress_thres(secretflow.preprocessing.binning.kernels.quantile_binning.QuantileBinning 属性) compress_thres(secretflow.preprocessing.binning.kernels.quantile_summaries.QuantileSummaries 属性) Compressor(secretflow.utils.compressor 中的类) compute_f1_score()(在 secretflow.stats.core.biclassification_eval_core 模块中) compute_gh()(在 secretflow.ml.boost.ss_xgb_v.core.node_split 模块中) compute_loss() (secretflow.ml.linear.fl_lr_v.FlLogisticRegressionVertical 方法) compute_loss() (secretflow.ml.linear.fl_lr_v.FlLrVWorker 方法) compute_loss() (secretflow.ml.linear.FlLogisticRegressionVertical 方法) compute_mul() (secretflow.ml.linear.fl_lr_v.FlLrVWorker 方法) compute_obj()(在 secretflow.ml.boost.ss_xgb_v.core.node_split 模块中) compute_output_shape() (secretflow.utils.simulation.tf_gnn_model.GraphAttention 方法) compute_output_shape() (secretflow.utils.simulation.tf_gnn_model.ServerNet 方法) compute_residual() (secretflow.ml.linear.fl_lr_v.FlLrVWorker 方法) compute_weight()(在 secretflow.ml.boost.ss_xgb_v.core.node_split 模块中) confusion_matrix_from_cum_counts()(在 secretflow.stats.core.biclassification_eval_core 模块中) convert_bin_to_real() (secretflow.ml.boost.homo_boost.tree_core.decision_tree.DecisionTree 方法) copy() (secretflow.data.base.Partition 方法) copy() (secretflow.data.horizontal.dataframe.HDataFrame 方法) copy() (secretflow.data.horizontal.HDataFrame 方法) copy() (secretflow.data.mix.dataframe.MixDataFrame 方法) copy() (secretflow.data.mix.MixDataFrame 方法) copy() (secretflow.data.vertical.dataframe.VDataFrame 方法) copy() (secretflow.data.vertical.VDataFrame 方法) count() (secretflow.data.base.DataFrameBase 方法) count() (secretflow.data.base.Partition 方法) count() (secretflow.data.horizontal.dataframe.HDataFrame 方法) count() (secretflow.data.horizontal.HDataFrame 方法) count() (secretflow.data.mix.dataframe.MixDataFrame 方法) count() (secretflow.data.mix.MixDataFrame 方法) count() (secretflow.data.vertical.dataframe.VDataFrame 方法) count() (secretflow.data.vertical.VDataFrame 方法) count(secretflow.ml.nn.fl.metrics.Default 属性) count(secretflow.ml.nn.fl.metrics.Mean 属性), [1] create_df()(在 secretflow.utils.simulation.data.dataframe 模块中) create_hdf()(在 secretflow.utils.simulation.data.dataframe 模块中) create_left_new() (secretflow.preprocessing.binning.homo_binning_base.SplitPointNode 方法) create_ndarray()(在 secretflow.utils.simulation.data.ndarray 模块中) create_right_new() (secretflow.preprocessing.binning.homo_binning_base.SplitPointNode 方法) create_sorted_label_score_pair()(在 secretflow.stats.core.biclassification_eval_core 模块中) create_vdf()(在 secretflow.utils.simulation.data.dataframe 模块中) criterion_method(secretflow.ml.boost.homo_boost.tree_param.TreeParam 属性), [1] criterion_params(secretflow.ml.boost.homo_boost.tree_core.splitter.Splitter 属性) Criterion(secretflow.ml.boost.homo_boost.tree_core.criterion 中的类) cumulative_percent_of_negative(secretflow.stats.core.biclassification_eval_core.EqBinReport 属性) cumulative_percent_of_positive(secretflow.stats.core.biclassification_eval_core.EqBinReport 属性) curve(secretflow.ml.nn.fl.metrics.AUC 属性) custom_loss(secretflow.ml.nn.sl.backend.tensorflow.utils 中的类) D DataFrameBase(secretflow.data.base 中的类) dataset()(在 secretflow.utils.simulation.datasets 模块中) data(secretflow.data.base.Partition 属性), [1] data(secretflow.device.device.heu_object.HEUObject 属性) data(secretflow.device.device.pyu.PYUObject 属性) data(secretflow.HEUObject 属性) data(secretflow.ml.boost.homo_boost.homo_decision_tree.HomoDecisionTree 属性) data(secretflow.ml.boost.homo_boost.tree_core.decision_tree.DecisionTree 属性) data(secretflow.PYUObject 属性) decimal(secretflow.ml.boost.homo_boost.tree_core.criterion.XgboostCriterion 属性) decimal(secretflow.ml.boost.homo_boost.tree_param.TreeParam 属性), [1] DecisionTree(secretflow.ml.boost.homo_boost.tree_core.decision_tree 中的类) decode() (secretflow.device.device.heu.HEUActor 方法) decode() (secretflow.ml.linear.fl_lr_v.FlLrVWorker 方法) decode()(在 secretflow.utils.ndarray_encoding 模块中) decompress() (secretflow.utils.compressor.Compressor 方法) decompress() (secretflow.utils.compressor.SparseCompressor 方法) Default(secretflow.ml.nn.fl.metrics 中的类) delta_gaussian()(在 secretflow.security.privacy.accounting.gdp_accountant 模块中) delta(secretflow.preprocessing.binning.kernels.quantile_summaries.Stats 属性), [1] device_type(secretflow.Device 属性) device_type(secretflow.device.device.base.Device 属性) device_type(secretflow.device.device.base.DeviceObject 属性) device_type(secretflow.DeviceObject 属性) DeviceComparator(secretflow.security 中的类) DeviceComparator(secretflow.security.compare 中的类) DeviceComparator(secretflow.security.compare.device_comparator 中的类) DeviceObject(secretflow 中的类) DeviceObject(secretflow.device.device.base 中的类) DeviceType(secretflow.device.device.register 中的类) Device(secretflow 中的类) Device(secretflow.device.device.base 中的类) device(secretflow.security.compare.device_comparator.DeviceComparator 属性), [1] device(secretflow.security.compare.DeviceComparator 属性), [1] device(secretflow.security.compare.plain_comparator.PlainComparator 属性) device(secretflow.security.compare.PlainComparator 属性) device(secretflow.security.compare.spu_comparator.SPUComparator 属性) device(secretflow.security.compare.SPUComparator 属性) device(secretflow.security.DeviceComparator 属性), [1] device(secretflow.security.PlainComparator 属性) device(secretflow.security.SPUComparator 属性) device(secretflow.stats.ss_pearsonr_v.PearsonR 属性) device(secretflow.stats.ss_pvalue_v.PVlaue 属性) device(secretflow.stats.ss_vif_v.VIF 属性) df_sig()(在 secretflow.utils.sigmoid 模块中) DF(secretflow.utils.sigmoid.SigType 属性) DiffieHellman(secretflow.security.diffie_hellman 中的类) dispatch() (secretflow.device.device.register.Registrar 方法) dispatch() (secretflow.ml.nn.fl.strategy_dispatcher.Dispatcher 方法) dispatch()(在 secretflow.device.device.register 模块中) dispatch_strategy()(在 secretflow.ml.nn.fl.strategy_dispatcher 模块中) Dispatcher(secretflow.ml.nn.fl.strategy_dispatcher 中的类) distribution_generation()(在 secretflow.stats.core.psi_core 模块中) do_binary_op() (secretflow.device.device.heu.HEUActor 方法) do_compress()(在 secretflow.ml.nn.fl.compress 模块中) do_leaf()(在 secretflow.ml.boost.ss_xgb_v.core.node_split 模块中) DPStrategyFL(secretflow.security.privacy 中的类) DPStrategyFL(secretflow.security.privacy.strategy_fl 中的类) DPStrategy(secretflow.security.privacy 中的类) DPStrategy(secretflow.security.privacy.strategy 中的类) drop() (secretflow.data.base.Partition 方法) drop() (secretflow.data.horizontal.dataframe.HDataFrame 方法) drop() (secretflow.data.horizontal.HDataFrame 方法) drop() (secretflow.data.mix.dataframe.MixDataFrame 方法) drop() (secretflow.data.mix.MixDataFrame 方法) drop() (secretflow.data.vertical.dataframe.VDataFrame 方法) drop() (secretflow.data.vertical.VDataFrame 方法) dtypes(secretflow.data.base.Partition 属性) dtypes(secretflow.data.horizontal.dataframe.HDataFrame 属性) dtypes(secretflow.data.horizontal.HDataFrame 属性) dtypes(secretflow.data.mix.dataframe.MixDataFrame 属性) dtypes(secretflow.data.mix.MixDataFrame 属性) dtypes(secretflow.data.vertical.dataframe.VDataFrame 属性) dtypes(secretflow.data.vertical.VDataFrame 属性) dtype(secretflow.device.device.spu.SPUValueMeta 属性) dump() (secretflow.device.device.heu_object.HEUObject 方法) dump() (secretflow.HEUObject 方法) dump_model() (secretflow.ml.boost.homo_boost.homo_booster.SFXgboost 方法) dump_model() (secretflow.ml.boost.homo_boost.SFXgboost 方法) E EmbeddingDP(secretflow.security.privacy.mechanism.tensorflow.layers 中的类) encode() (secretflow.device.device.heu.HEUActor 方法) encode() (secretflow.ml.linear.fl_lr_v.FlLrVWorker 方法) encode()(在 secretflow.utils.ndarray_encoding 模块中) encrypt() (secretflow.device.device.heu.HEUActor 方法) encrypt() (secretflow.device.device.heu_object.HEUObject 方法) encrypt() (secretflow.HEUObject 方法) end_value(secretflow.stats.core.biclassification_eval_core.EqBinReport 属性) eq_frequent_bin_evaluate()(在 secretflow.stats.core.biclassification_eval_core 模块中) eq_frequent_bin_report(secretflow.stats.core.biclassification_eval_core.Report 属性) eq_range_bin_evaluate()(在 secretflow.stats.core.biclassification_eval_core 模块中) eq_range_bin_report(secretflow.stats.core.biclassification_eval_core.Report 属性) EqBinReport(secretflow.stats.core.biclassification_eval_core 中的类) equal_obs()(在 secretflow.stats.core.utils 模块中) equal_range()(在 secretflow.stats.core.utils 模块中) erfc_log()(在 secretflow.security.privacy.accounting.log_utils 模块中) error(secretflow.preprocessing.binning.homo_binning.HomoBinning 属性) error(secretflow.preprocessing.binning.homo_binning_base.SplitPointNode 属性), [1] error(secretflow.preprocessing.binning.kernels.quantile_binning.QuantileBinning 属性) error(secretflow.preprocessing.binning.kernels.quantile_summaries.QuantileSummaries 属性) eta(secretflow.ml.boost.homo_boost.tree_param.TreeParam 属性), [1] eval() (secretflow.ml.boost.homo_boost.homo_booster.SFXgboost 方法) eval() (secretflow.ml.boost.homo_boost.SFXgboost 方法) EvalsLog(secretflow.ml.boost.homo_boost.boost_core.callback.FedCallbackContainer 属性) evaluate() (secretflow.ml.nn.fl.backend.tensorflow.fl_base.BaseModel 方法) evaluate() (secretflow.ml.nn.fl.backend.tensorflow.fl_base.BaseTFModel 方法) evaluate() (secretflow.ml.nn.fl.backend.torch.fl_base.BaseTorchModel 方法) evaluate() (secretflow.ml.nn.fl.fl_model.FLModel 方法) evaluate() (secretflow.ml.nn.FLModel 方法) evaluate() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.SLBaseTFModel 方法) evaluate() (secretflow.ml.nn.sl.sl_model.SLModel 方法) evaluate() (secretflow.ml.nn.SLModel 方法) evaluate_bins()(在 secretflow.stats.core.biclassification_eval_core 模块中) evaluator_names() (secretflow.device.device.heu.HEU 方法) evaluator_names() (secretflow.HEU 方法) F f1_score(secretflow.stats.core.biclassification_eval_core.EqBinReport 属性) f1_score(secretflow.stats.core.biclassification_eval_core.SummaryReport 属性) false_negatives(secretflow.ml.nn.fl.metrics.AUC 属性) false_negatives(secretflow.ml.nn.fl.metrics.Recall 属性), [1] false_positive_rate(secretflow.stats.core.biclassification_eval_core.EqBinReport 属性) false_positives(secretflow.ml.nn.fl.metrics.AUC 属性) false_positives(secretflow.ml.nn.fl.metrics.Precision 属性), [1] fast_init() (secretflow.preprocessing.binning.kernels.quantile_summaries.QuantileSummaries 方法) feature_col_sample() (secretflow.ml.boost.homo_boost.tree_core.decision_tree.DecisionTree 方法) feature_summary()(secretflow.preprocessing.binning.kernels.quantile_binning.QuantileBinning 静态方法) FeatureHistogram(secretflow.ml.boost.homo_boost.tree_core.feature_histogram 中的类) FeatureImportance(secretflow.ml.boost.homo_boost.tree_core.feature_importance 中的类) FedAvgG(secretflow.ml.nn.fl.backend.tensorflow.strategy.fed_avg_g 中的类) FedAvgG(secretflow.ml.nn.fl.backend.torch.strategy.fed_avg_g 中的类) FedAvgU(secretflow.ml.nn.fl.backend.tensorflow.strategy.fed_avg_u 中的类) FedAvgU(secretflow.ml.nn.fl.backend.torch.strategy.fed_avg_u 中的类) FedAvgW(secretflow.ml.nn.fl.backend.tensorflow.strategy.fed_avg_w 中的类) FedAvgW(secretflow.ml.nn.fl.backend.torch.strategy.fed_avg_w 中的类) FedBooster(secretflow.ml.boost.homo_boost.boost_core.core 中的类) FedCallbackContainer(secretflow.ml.boost.homo_boost.boost_core.callback 中的类) federate_update() (secretflow.ml.boost.homo_boost.boost_core.core.FedBooster 方法) FedNdarray(secretflow.data 中的类) FedNdarray(secretflow.data.ndarray 中的类) FedProx(secretflow.ml.nn.fl.backend.tensorflow.strategy.fed_prox 中的类) FedProx(secretflow.ml.nn.fl.backend.torch.strategy.fed_prox 中的类) FedSCR(secretflow.ml.nn.fl.backend.tensorflow.strategy.fed_scr 中的类) FedSCR(secretflow.ml.nn.fl.backend.torch.strategy.fed_scr 中的类) FedSTC(secretflow.ml.nn.fl.backend.tensorflow.strategy.fed_stc 中的类) FedSTC(secretflow.ml.nn.fl.backend.torch.strategy.fed_stc 中的类) fid(secretflow.ml.boost.homo_boost.tree_core.node.Node 属性), [1] fillna() (secretflow.data.base.Partition 方法) fillna() (secretflow.data.horizontal.dataframe.HDataFrame 方法) fillna() (secretflow.data.horizontal.HDataFrame 方法) fillna() (secretflow.data.mix.dataframe.MixDataFrame 方法) fillna() (secretflow.data.mix.MixDataFrame 方法) fillna() (secretflow.data.vertical.dataframe.VDataFrame 方法) fillna() (secretflow.data.vertical.VDataFrame 方法) find_best_split_bucket()(在 secretflow.ml.boost.ss_xgb_v.core.node_split 模块中) find_split() (secretflow.ml.boost.homo_boost.tree_core.splitter.Splitter 方法) find_split_once() (secretflow.ml.boost.homo_boost.tree_core.splitter.Splitter 方法) fit() (secretflow.ml.boost.homo_boost.homo_decision_tree.HomoDecisionTree 方法) fit() (secretflow.ml.boost.homo_boost.tree_core.decision_tree.DecisionTree 方法) fit() (secretflow.ml.linear.fl_lr_mix.FlLogisticRegressionMix 方法) fit() (secretflow.ml.linear.fl_lr_v.FlLogisticRegressionVertical 方法) fit() (secretflow.ml.linear.FlLogisticRegressionMix 方法) fit() (secretflow.ml.linear.FlLogisticRegressionVertical 方法) fit() (secretflow.ml.linear.hess_sgd.HESSLogisticRegression 方法) fit() (secretflow.ml.linear.hess_sgd.model.HESSLogisticRegression 方法) fit() (secretflow.ml.linear.HESSLogisticRegression 方法) fit() (secretflow.ml.linear.ss_sgd.model.SSRegression 方法) fit() (secretflow.ml.linear.ss_sgd.SSRegression 方法) fit() (secretflow.ml.linear.SSRegression 方法) fit() (secretflow.ml.nn.fl.fl_model.FLModel 方法) fit() (secretflow.ml.nn.FLModel 方法) fit() (secretflow.ml.nn.sl.sl_model.SLModel 方法) fit() (secretflow.ml.nn.SLModel 方法) fit() (secretflow.preprocessing.discretization.KBinsDiscretizer 方法) fit() (secretflow.preprocessing.encoder.LabelEncoder 方法) fit() (secretflow.preprocessing.encoder.OneHotEncoder 方法) fit() (secretflow.preprocessing.KBinsDiscretizer 方法) fit() (secretflow.preprocessing.LabelEncoder 方法) fit() (secretflow.preprocessing.MinMaxScaler 方法) fit() (secretflow.preprocessing.OneHotEncoder 方法) fit() (secretflow.preprocessing.scaler.MinMaxScaler 方法) fit() (secretflow.preprocessing.scaler.StandardScaler 方法) fit() (secretflow.preprocessing.StandardScaler 方法) fit_in_steps() (secretflow.ml.linear.fl_lr_v.FlLogisticRegressionVertical 方法) fit_in_steps() (secretflow.ml.linear.FlLogisticRegressionVertical 方法) fit_split_points() (secretflow.preprocessing.binning.homo_binning.HomoBinning 方法) fit_split_points() (secretflow.preprocessing.binning.kernels.base_binning.BaseBinning 方法) fit_split_points() (secretflow.preprocessing.binning.kernels.quantile_binning.QuantileBinning 方法) fit_transform() (secretflow.preprocessing.discretization.KBinsDiscretizer 方法) fit_transform() (secretflow.preprocessing.encoder.LabelEncoder 方法) fit_transform() (secretflow.preprocessing.encoder.OneHotEncoder 方法) fit_transform() (secretflow.preprocessing.KBinsDiscretizer 方法) fit_transform() (secretflow.preprocessing.LabelEncoder 方法) fit_transform() (secretflow.preprocessing.MinMaxScaler 方法) fit_transform() (secretflow.preprocessing.OneHotEncoder 方法) fit_transform() (secretflow.preprocessing.scaler.MinMaxScaler 方法) fit_transform() (secretflow.preprocessing.scaler.StandardScaler 方法) fit_transform() (secretflow.preprocessing.StandardScaler 方法) fixed(secretflow.preprocessing.binning.homo_binning_base.SplitPointNode 属性), [1] FlLogisticRegressionMix(secretflow.ml.linear 中的类) FlLogisticRegressionMix(secretflow.ml.linear.fl_lr_mix 中的类) FlLogisticRegressionVertical(secretflow.ml.linear 中的类) FlLogisticRegressionVertical(secretflow.ml.linear.fl_lr_v 中的类) FlLrVWorker(secretflow.ml.linear.fl_lr_v 中的类) FLModel(secretflow.ml.nn 中的类) FLModel(secretflow.ml.nn.fl.fl_model 中的类) fname(secretflow.ml.boost.homo_boost.boost_core.core.FedBooster 属性) forward() (secretflow.ml.nn.fl.backend.torch.utils.BaseModule 方法) forward() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.ModelPartition 方法) forward() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.SLBaseModule 方法) fpr(secretflow.stats.core.biclassification_eval_core.PrReport 属性) FROM_COMPILER(secretflow.device.device.spu.SPUCompilerNumReturnsPolicy 属性) from_config()(secretflow.ml.nn.sl.backend.tensorflow.utils.custom_loss 类方法) FROM_USER(secretflow.device.device.spu.SPUCompilerNumReturnsPolicy 属性) fuse_net() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.SLBaseModel 方法) fuse_net() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.SLBaseTFModel 方法) fuse_op()(secretflow.ml.nn.sl.backend.tensorflow.sl_base.SLBaseTFModel 静态方法) G gain(secretflow.ml.boost.homo_boost.tree_core.splitter.SplitInfo 属性), [1] gamma(secretflow.ml.boost.homo_boost.tree_param.TreeParam 属性), [1] GaussianEmbeddingDP(secretflow.security.privacy 中的类) GaussianEmbeddingDP(secretflow.security.privacy.mechanism.tensorflow.layers 中的类) GaussianModelDP(secretflow.security.privacy 中的类) GaussianModelDP(secretflow.security.privacy.mechanism.tensorflow.mechanism_fl 中的类) gen_all_reports() (secretflow.stats.regression_eval.RegressionEval 方法) gen_all_reports() (secretflow.stats.RegressionEval 方法) gen_all_reports()(在 secretflow.stats.core.biclassification_eval_core 模块中) gen_pr_reports()(在 secretflow.stats.core.biclassification_eval_core 模块中) generate_key_pair() (secretflow.security.diffie_hellman.DiffieHellman 方法) generate_rand_mask() (secretflow.ml.linear.fl_lr_v.FlLrVWorker 方法) generate_secret() (secretflow.security.diffie_hellman.DiffieHellman 方法) get_all_reports() (secretflow.stats.biclassification_eval.BiClassificationEval 方法) get_all_reports() (secretflow.stats.BiClassificationEval 方法) get_base_weights() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.SLBaseTFModel 方法) get_basenet_output_num() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.SLBaseTFModel 方法) get_child_select()(在 secretflow.ml.boost.ss_xgb_v.core.node_split 模块中) get_concat_axis()(在 secretflow.data.ndarray 模块中) get_config() (secretflow.ml.nn.sl.backend.tensorflow.utils.custom_loss 方法) get_config() (secretflow.utils.simulation.tf_gnn_model.GraphAttention 方法) get_config() (secretflow.utils.simulation.tf_gnn_model.ServerNet 方法) get_device()(在 secretflow.device.link 模块中) get_dimension() (secretflow.ml.nn.fl.sparse.SCRSparse 方法) get_eps_from_mu()(在 secretflow.security.privacy.accounting.gdp_accountant 模块中) get_feature_importance() (secretflow.ml.boost.homo_boost.tree_core.decision_tree.DecisionTree 方法) get_fuse_weights() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.SLBaseTFModel 方法) get_grad_hess_sum() (secretflow.ml.boost.homo_boost.tree_core.decision_tree.DecisionTree 方法) get_gradients() (secretflow.ml.nn.fl.backend.torch.utils.BaseModule 方法) get_gradients() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.SLBaseModule 方法) get_one_batch() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.ModelPartition 方法) get_participant() (secretflow.device.device.heu.HEU 方法) get_participant() (secretflow.HEU 方法) get_privacy_spent() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.SLBaseTFModel 方法) get_privacy_spent() (secretflow.security.privacy.DPStrategy 方法) get_privacy_spent() (secretflow.security.privacy.DPStrategyFL 方法) get_privacy_spent() (secretflow.security.privacy.strategy.DPStrategy 方法) get_privacy_spent() (secretflow.security.privacy.strategy_fl.DPStrategyFL 方法) get_privacy_spent_rdp()(在 secretflow.security.privacy.accounting.rdp_accountant 模块中) get_rdp()(在 secretflow.security.privacy.accounting.rdp_accountant 模块中) get_role()(在 secretflow.device.link 模块中) get_rows_count() (secretflow.ml.nn.fl.backend.tensorflow.fl_base.BaseTFModel 方法) get_rows_count() (secretflow.ml.nn.fl.backend.torch.fl_base.BaseTorchModel 方法) get_stop_training() (secretflow.ml.nn.fl.backend.tensorflow.fl_base.BaseTFModel 方法) get_stop_training() (secretflow.ml.nn.fl.backend.torch.fl_base.BaseTorchModel 方法) get_stop_training() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.SLBaseTFModel 方法) get_valid_features_by_level() (secretflow.ml.boost.homo_boost.homo_decision_tree.HomoDecisionTree 方法) get_valid_features_by_tree() (secretflow.ml.boost.homo_boost.homo_decision_tree.HomoDecisionTree 方法) get_weight() (secretflow.ml.linear.fl_lr_v.FlLogisticRegressionVertical 方法) get_weight() (secretflow.ml.linear.fl_lr_v.FlLrVWorker 方法) get_weight() (secretflow.ml.linear.FlLogisticRegressionVertical 方法) get_weight()(在 secretflow.ml.boost.ss_xgb_v.core.node_split 模块中) get_weights() (secretflow.ml.nn.fl.backend.tensorflow.fl_base.BaseModel 方法) get_weights() (secretflow.ml.nn.fl.backend.tensorflow.fl_base.BaseTFModel 方法) get_weights() (secretflow.ml.nn.fl.backend.torch.fl_base.BaseTorchModel 方法) get_weights() (secretflow.ml.nn.fl.backend.torch.utils.BaseModule 方法) get_weights() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.ModelPartition 方法) get_weights() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.SLBaseModule 方法) getitem() (secretflow.device.device.heu.HEUActor 方法) global_detailed_history(secretflow.ml.nn.fl.utils.History 属性) global_history(secretflow.ml.nn.fl.utils.History 属性) global_setup()(在 secretflow.ml.boost.ss_xgb_v.core.node_split 模块中) grad_key(secretflow.ml.boost.homo_boost.homo_decision_tree.HomoDecisionTree 属性) grad_key(secretflow.ml.boost.homo_boost.tree_core.decision_tree.DecisionTree 属性) GraphAttention(secretflow.utils.simulation.tf_gnn_model 中的类) group_id(secretflow.ml.boost.homo_boost.homo_decision_tree.HomoDecisionTree 属性) group_id(secretflow.ml.boost.homo_boost.tree_core.decision_tree.DecisionTree 属性) group_name(secretflow.stats.core.biclassification_eval_core.GroupReport 属性) group_reports(secretflow.stats.core.biclassification_eval_core.Report 属性) GroupReport(secretflow.stats.core.biclassification_eval_core 中的类) H handle_data() (secretflow.ml.nn.fl.fl_model.FLModel 方法) handle_data() (secretflow.ml.nn.FLModel 方法) handle_data() (secretflow.ml.nn.sl.sl_model.SLModel 方法) handle_data() (secretflow.ml.nn.SLModel 方法) handle_file() (secretflow.ml.nn.fl.fl_model.FLModel 方法) handle_file() (secretflow.ml.nn.FLModel 方法) has_party() (secretflow.device.device.heu.HEU 方法) has_party() (secretflow.HEU 方法) HDataFrame(secretflow.data.horizontal 中的类) HDataFrame(secretflow.data.horizontal.dataframe 中的类) head_report(secretflow.stats.core.biclassification_eval_core.Report 属性) head_size(secretflow.preprocessing.binning.homo_binning.HomoBinning 属性) head_size(secretflow.preprocessing.binning.kernels.quantile_binning.QuantileBinning 属性) head_size(secretflow.preprocessing.binning.kernels.quantile_summaries.QuantileSummaries 属性) hess_key(secretflow.ml.boost.homo_boost.homo_decision_tree.HomoDecisionTree 属性) hess_key(secretflow.ml.boost.homo_boost.tree_core.decision_tree.DecisionTree 属性) HESSLogisticRegression(secretflow.ml.linear 中的类) HESSLogisticRegression(secretflow.ml.linear.hess_sgd 中的类) HESSLogisticRegression(secretflow.ml.linear.hess_sgd.model 中的类) heu_audit_log(secretflow.device.device.base.MoveConfig 属性) heu_config()(在 secretflow.utils.testing 模块中) heu_datatype_to_numpy()(在 secretflow.device.device.type_traits 模块中) heu_datatype_to_spu()(在 secretflow.device.device.type_traits 模块中) heu_dest_party(secretflow.device.device.base.MoveConfig 属性) heu_encoder(secretflow.device.device.base.MoveConfig 属性) heu_to_other_heu()(在 secretflow.device.kernels.heu 模块中) heu_to_pyu()(在 secretflow.device.kernels.heu 模块中) heu_to_same_heu()(在 secretflow.device.kernels.heu 模块中) heu_to_spu()(在 secretflow.device.kernels.heu 模块中) HEUActor(secretflow.device.device.heu 中的类) HEUObject(secretflow 中的类) HEUObject(secretflow.device.device.heu_object 中的类) HEU(secretflow 中的类) HEU(secretflow.device.device.heu 中的类) HEU(secretflow.device.device.register.DeviceType 属性) hid(secretflow.ml.boost.homo_boost.tree_core.feature_histogram.HistogramBag 属性), [1] histogram()(在 secretflow.data.ndarray 模块中) HistogramBag(secretflow.ml.boost.homo_boost.tree_core.feature_histogram 中的类) histogram(secretflow.ml.boost.homo_boost.tree_core.feature_histogram.HistogramBag 属性), [1] history(secretflow.ml.boost.homo_boost.boost_core.callback.FedCallbackContainer 属性) History(secretflow.ml.nn.fl.utils 中的类) HomoBinningBase()(在 secretflow.preprocessing.binning.homo_binning_base 模块中) HomoBinning(secretflow.preprocessing.binning.homo_binning 中的类) HomoBooster()(在 secretflow.ml.boost.homo_boost.homo_booster_worker 模块中) HomoDecisionTree(secretflow.ml.boost.homo_boost.homo_decision_tree 中的类) HORIZONTAL(secretflow.data.mix.dataframe.PartitionWay 属性) HORIZONTAL(secretflow.data.mix.PartitionWay 属性) HORIZONTAL(secretflow.data.ndarray.PartitionWay 属性) HORIZONTAL(secretflow.data.PartitionWay 属性) HttpNotOkError I id(secretflow.ml.boost.homo_boost.tree_core.node.Node 属性), [1] iloc() (secretflow.data.base.Partition 方法) importance_type(secretflow.ml.boost.homo_boost.tree_param.TreeParam 属性), [1] index(secretflow.data.base.Partition 属性) init() (secretflow.device.device.heu.HEU 方法) init() (secretflow.device.device.spu.SPU 方法) init() (secretflow.HEU 方法) init() (secretflow.SPU 方法) init()(在 secretflow 模块中) init()(在 secretflow.device.driver 模块中) init_data() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.SLBaseTFModel 方法) init_pred()(在 secretflow.ml.boost.ss_xgb_v.core.node_split 模块中) init_train_data() (secretflow.ml.linear.fl_lr_v.FlLogisticRegressionVertical 方法) init_train_data() (secretflow.ml.linear.fl_lr_v.FlLrVWorker 方法) init_train_data() (secretflow.ml.linear.FlLogisticRegressionVertical 方法) init_training() (secretflow.ml.nn.fl.backend.tensorflow.fl_base.BaseTFModel 方法) init_training() (secretflow.ml.nn.fl.backend.torch.fl_base.BaseTorchModel 方法) init_training() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.SLBaseTFModel 方法) init_workers() (secretflow.ml.nn.fl.fl_model.FLModel 方法) init_workers() (secretflow.ml.nn.FLModel 方法) init_xgboost_model() (secretflow.ml.boost.homo_boost.tree_core.decision_tree.DecisionTree 方法) initialize() (secretflow.device.link.Link 方法) initialize_weights() (secretflow.ml.nn.fl.fl_model.FLModel 方法) initialize_weights() (secretflow.ml.nn.FLModel 方法) insert_split_node() (secretflow.ml.boost.ss_xgb_v.core.xgb_tree.XgbTree 方法) InvalidArgumentError is_cv(secretflow.ml.boost.homo_boost.boost_core.callback.FedCallbackContainer 属性) is_leaf(secretflow.ml.boost.homo_boost.tree_core.node.Node 属性), [1] is_left_node(secretflow.ml.boost.homo_boost.tree_core.node.Node 属性), [1] is_local_file()(在 secretflow.data.io.util 模块中) is_plain(secretflow.device.device.heu_object.HEUObject 属性) is_plain(secretflow.HEUObject 属性) isna() (secretflow.data.base.Partition 方法) isna() (secretflow.data.horizontal.dataframe.HDataFrame 方法) isna() (secretflow.data.horizontal.HDataFrame 方法) isna() (secretflow.data.mix.dataframe.MixDataFrame 方法) isna() (secretflow.data.mix.MixDataFrame 方法) isna() (secretflow.data.vertical.dataframe.VDataFrame 方法) isna() (secretflow.data.vertical.VDataFrame 方法) iter_round(secretflow.ml.boost.homo_boost.homo_decision_tree.HomoDecisionTree 属性) iter_round(secretflow.ml.boost.homo_boost.tree_core.decision_tree.DecisionTree 属性) K KBinsDiscretizer(secretflow.preprocessing 中的类) KBinsDiscretizer(secretflow.preprocessing.discretization 中的类) key() (secretflow.ml.boost.homo_boost.boost_core.callback.FedCallbackContainer 方法) key() (secretflow.ml.boost.homo_boost.homo_decision_tree.HomoDecisionTree 方法) ks(secretflow.stats.core.biclassification_eval_core.EqBinReport 属性) ks(secretflow.stats.core.biclassification_eval_core.SummaryReport 属性) kurtosis() (secretflow.data.base.Partition 方法) kurtosis() (secretflow.data.horizontal.dataframe.HDataFrame 方法) kurtosis() (secretflow.data.horizontal.HDataFrame 方法) kurtosis() (secretflow.data.mix.dataframe.MixDataFrame 方法) kurtosis() (secretflow.data.mix.MixDataFrame 方法) kurtosis() (secretflow.data.vertical.dataframe.VDataFrame 方法) kurtosis() (secretflow.data.vertical.VDataFrame 方法) L L1(secretflow.ml.linear.ss_sgd.model.Penalty 属性) L2(secretflow.ml.linear.ss_sgd.model.Penalty 属性) label_key(secretflow.ml.boost.homo_boost.homo_decision_tree.HomoDecisionTree 属性) label_name(secretflow.preprocessing.binning.vert_woe_binning.VertWoeBinning 属性) LabelDP(secretflow.security.privacy 中的类) LabelDP(secretflow.security.privacy.mechanism.tensorflow.layers 中的类) LabelEncoder(secretflow.preprocessing 中的类) LabelEncoder(secretflow.preprocessing.encoder 中的类) left_nodeid(secretflow.ml.boost.homo_boost.tree_core.node.Node 属性), [1] lift(secretflow.stats.core.biclassification_eval_core.EqBinReport 属性) LinearModel(secretflow.ml.linear 中的类) LinearModel(secretflow.ml.linear.linear_model 中的类) Linear(secretflow.ml.boost.ss_xgb_v.core.node_split.RegType 属性) Linear(secretflow.ml.linear.linear_model.RegType 属性) Linear(secretflow.ml.linear.RegType 属性) Link(secretflow.device.link 中的类) load()(在 secretflow.data.ndarray 模块中) load_bank_marketing()(在 secretflow.utils.simulation.datasets 模块中) load_base_model() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.SLBaseTFModel 方法) load_cora()(在 secretflow.utils.simulation.datasets 模块中) load_dermatology()(在 secretflow.utils.simulation.datasets 模块中) load_fuse_model() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.SLBaseTFModel 方法) load_iris()(在 secretflow.utils.simulation.datasets 模块中) load_linear()(在 secretflow.utils.simulation.datasets 模块中) load_mnist()(在 secretflow.utils.simulation.datasets 模块中) load_model() (secretflow.ml.linear.hess_sgd.HESSLogisticRegression 方法) load_model() (secretflow.ml.linear.hess_sgd.model.HESSLogisticRegression 方法) load_model() (secretflow.ml.linear.HESSLogisticRegression 方法) load_model() (secretflow.ml.linear.ss_sgd.model.SSRegression 方法) load_model() (secretflow.ml.linear.ss_sgd.SSRegression 方法) load_model() (secretflow.ml.linear.SSRegression 方法) load_model() (secretflow.ml.nn.fl.backend.tensorflow.fl_base.BaseTFModel 方法) load_model() (secretflow.ml.nn.fl.backend.torch.fl_base.BaseTorchModel 方法) load_model() (secretflow.ml.nn.fl.fl_model.FLModel 方法) load_model() (secretflow.ml.nn.FLModel 方法) load_model() (secretflow.ml.nn.sl.sl_model.SLModel 方法) load_model() (secretflow.ml.nn.SLModel 方法) local_detailed_history(secretflow.ml.nn.fl.utils.History 属性) local_history(secretflow.ml.nn.fl.utils.History 属性) location(secretflow.device.device.heu_object.HEUObject 属性) location(secretflow.HEUObject 属性) log_alpha()(在 secretflow.security.privacy.accounting.log_utils 模块中) log_alpha_frac()(在 secretflow.security.privacy.accounting.log_utils 模块中) log_alpha_int()(在 secretflow.security.privacy.accounting.log_utils 模块中) Logistic(secretflow.ml.boost.ss_xgb_v.core.node_split.RegType 属性) Logistic(secretflow.ml.linear.linear_model.RegType 属性) Logistic(secretflow.ml.linear.RegType 属性) LogroundTransformer(secretflow.preprocessing 中的类) LogroundTransformer(secretflow.preprocessing.transformer 中的类) loss_change(secretflow.ml.boost.homo_boost.tree_core.node.Node 属性), [1] LossFunction(secretflow.ml.boost.homo_boost.tree_core.loss_function 中的类) ls7_sig()(在 secretflow.utils.sigmoid 模块中) M main_importance(secretflow.ml.boost.homo_boost.tree_core.feature_importance.FeatureImportance 属性) main_type(secretflow.ml.boost.homo_boost.tree_core.feature_importance.FeatureImportance 属性) make_shares() (secretflow.device.device.spu.SPUIO 方法) matmul()(在 secretflow.device.kernels.heu 模块中) max() (secretflow.data.base.DataFrameBase 方法) max() (secretflow.data.base.Partition 方法) max() (secretflow.data.horizontal.dataframe.HDataFrame 方法) max() (secretflow.data.horizontal.HDataFrame 方法) max() (secretflow.data.mix.dataframe.MixDataFrame 方法) max() (secretflow.data.mix.MixDataFrame 方法) max() (secretflow.data.vertical.dataframe.VDataFrame 方法) max() (secretflow.data.vertical.VDataFrame 方法) max() (secretflow.security.Comparator 方法) max() (secretflow.security.compare.Comparator 方法) max() (secretflow.security.compare.comparator.Comparator 方法) max() (secretflow.security.compare.device_comparator.DeviceComparator 方法) max() (secretflow.security.compare.DeviceComparator 方法) max() (secretflow.security.DeviceComparator 方法) max_depth(secretflow.ml.boost.homo_boost.tree_param.TreeParam 属性), [1] max_iter(secretflow.preprocessing.binning.homo_binning.HomoBinning 属性) max_score(secretflow.stats.score_card.ScoreCard 属性) max_score(secretflow.stats.ScoreCard 属性) max_split_nodes(secretflow.ml.boost.homo_boost.tree_param.TreeParam 属性), [1] max_value(secretflow.preprocessing.binning.homo_binning_base.SplitPointNode 属性), [1] mean() (secretflow.data.base.Partition 方法) mean() (secretflow.data.horizontal.dataframe.HDataFrame 方法) mean() (secretflow.data.horizontal.HDataFrame 方法) mean() (secretflow.data.mix.dataframe.MixDataFrame 方法) mean() (secretflow.data.mix.MixDataFrame 方法) mean() (secretflow.data.vertical.dataframe.VDataFrame 方法) mean() (secretflow.data.vertical.VDataFrame 方法) mean()(在 secretflow.data.ndarray 模块中) mean_abs_err()(在 secretflow.data.ndarray 模块中) mean_abs_err(secretflow.stats.regression_eval.RegressionEval 属性) mean_abs_err(secretflow.stats.RegressionEval 属性) mean_abs_percent_err()(在 secretflow.data.ndarray 模块中) mean_abs_percent_err(secretflow.stats.regression_eval.RegressionEval 属性) mean_abs_percent_err(secretflow.stats.RegressionEval 属性) mean_of_difference_abs()(在 secretflow.data.math_utils 模块中) mean_of_difference_ratio_abs()(在 secretflow.data.math_utils 模块中) mean_of_difference_squares()(在 secretflow.data.math_utils 模块中) mean_squared_error()(在 secretflow.data.ndarray 模块中) mean_squared_errors(secretflow.stats.regression_eval.RegressionEval 属性) mean_squared_errors(secretflow.stats.RegressionEval 属性) Mean(secretflow.ml.nn.fl.metrics 中的类) metric_wrapper()(在 secretflow.ml.nn.fl.utils 模块中) metrics() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.SLBaseTFModel 方法) metric(secretflow.ml.boost.homo_boost.boost_core.callback.FedCallbackContainer 属性) Metric(secretflow.ml.nn.fl.metrics 中的类) min() (secretflow.data.base.DataFrameBase 方法) min() (secretflow.data.base.Partition 方法) min() (secretflow.data.horizontal.dataframe.HDataFrame 方法) min() (secretflow.data.horizontal.HDataFrame 方法) min() (secretflow.data.mix.dataframe.MixDataFrame 方法) min() (secretflow.data.mix.MixDataFrame 方法) min() (secretflow.data.vertical.dataframe.VDataFrame 方法) min() (secretflow.data.vertical.VDataFrame 方法) min() (secretflow.security.Comparator 方法) min() (secretflow.security.compare.Comparator 方法) min() (secretflow.security.compare.comparator.Comparator 方法) min() (secretflow.security.compare.device_comparator.DeviceComparator 方法) min() (secretflow.security.compare.DeviceComparator 方法) min() (secretflow.security.DeviceComparator 方法) min_child_weight(secretflow.ml.boost.homo_boost.tree_core.splitter.Splitter 属性) min_child_weight(secretflow.ml.boost.homo_boost.tree_param.TreeParam 属性), [1] min_impurity_split(secretflow.ml.boost.homo_boost.tree_core.splitter.Splitter 属性) min_leaf_node(secretflow.ml.boost.homo_boost.tree_core.splitter.Splitter 属性) min_leaf_node(secretflow.ml.boost.homo_boost.tree_param.TreeParam 属性), [1] min_sample_split(secretflow.ml.boost.homo_boost.tree_core.splitter.Splitter 属性) min_sample_split(secretflow.ml.boost.homo_boost.tree_param.TreeParam 属性), [1] min_score(secretflow.stats.score_card.ScoreCard 属性) min_score(secretflow.stats.ScoreCard 属性) min_value(secretflow.preprocessing.binning.homo_binning_base.SplitPointNode 属性), [1] MinMaxScaler(secretflow.preprocessing 中的类) MinMaxScaler(secretflow.preprocessing.scaler 中的类) missing_dir(secretflow.ml.boost.homo_boost.tree_core.node.Node 属性), [1] missing_dir(secretflow.ml.boost.homo_boost.tree_core.splitter.SplitInfo 属性), [1] mix_sig()(在 secretflow.utils.sigmoid 模块中) MixDataFrame(secretflow.data.mix 中的类) MixDataFrame(secretflow.data.mix.dataframe 中的类) MIX(secretflow.utils.sigmoid.SigType 属性) mode() (secretflow.data.base.Partition 方法) mode() (secretflow.data.horizontal.dataframe.HDataFrame 方法) mode() (secretflow.data.horizontal.HDataFrame 方法) mode() (secretflow.data.vertical.dataframe.VDataFrame 方法) mode() (secretflow.data.vertical.VDataFrame 方法) model_file(secretflow.ml.boost.homo_boost.boost_core.core.FedBooster 属性) ModelPartition(secretflow.ml.nn.sl.backend.tensorflow.sl_base 中的类) MoveConfig(secretflow.device.device.base 中的类) mul()(在 secretflow.device.kernels.heu 模块中) N name(secretflow.ml.nn.fl.metrics.Default 属性) name(secretflow.ml.nn.fl.metrics.Mean 属性) name(secretflow.ml.nn.fl.metrics.Precision 属性) name(secretflow.ml.nn.fl.metrics.Recall 属性) negative_samples(secretflow.stats.core.biclassification_eval_core.SummaryReport 属性) negative(secretflow.stats.core.biclassification_eval_core.EqBinReport 属性) newton_matrix_inverse()(在 secretflow.stats.core.utils 模块中) next_batch() (secretflow.ml.linear.fl_lr_v.FlLrVWorker 方法) node_gain() (secretflow.ml.boost.homo_boost.tree_core.criterion.XgboostCriterion 方法) node_gain() (secretflow.ml.boost.homo_boost.tree_core.splitter.Splitter 方法) node_weight() (secretflow.ml.boost.homo_boost.tree_core.criterion.XgboostCriterion 方法) node_weight() (secretflow.ml.boost.homo_boost.tree_core.splitter.Splitter 方法) Node(secretflow.ml.boost.homo_boost.tree_core.node 中的类) NONE(secretflow.ml.linear.ss_sgd.model.Penalty 属性) NotFoundError num_class(secretflow.ml.boost.homo_boost.tree_param.TreeParam 属性), [1] num_parallel(secretflow.ml.boost.homo_boost.tree_param.TreeParam 属性), [1] NUM(secretflow.device.device.register.DeviceType 属性) O obj_function() (secretflow.ml.boost.homo_boost.tree_core.loss_function.LossFunction 方法) obj_name(secretflow.ml.boost.homo_boost.tree_core.loss_function.LossFunction 属性) objective(secretflow.ml.boost.homo_boost.tree_param.TreeParam 属性), [1] on_epoch_begin() (secretflow.ml.nn.fl.backend.tensorflow.fl_base.BaseTFModel 方法) on_epoch_begin() (secretflow.ml.nn.fl.backend.torch.fl_base.BaseTorchModel 方法) on_epoch_begin() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.SLBaseTFModel 方法) on_epoch_end() (secretflow.ml.nn.fl.backend.tensorflow.fl_base.BaseTFModel 方法) on_epoch_end() (secretflow.ml.nn.fl.backend.torch.fl_base.BaseTorchModel 方法) on_epoch_end() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.SLBaseTFModel 方法) on_train_batch_begin() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.SLBaseTFModel 方法) on_train_batch_end() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.SLBaseTFModel 方法) on_train_begin() (secretflow.ml.nn.fl.backend.tensorflow.fl_base.BaseTFModel 方法) on_train_begin() (secretflow.ml.nn.fl.backend.torch.fl_base.BaseTorchModel 方法) on_train_begin() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.SLBaseTFModel 方法) on_train_end() (secretflow.ml.nn.fl.backend.tensorflow.fl_base.BaseTFModel 方法) on_train_end() (secretflow.ml.nn.fl.backend.torch.fl_base.BaseTorchModel 方法) on_train_end() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.SLBaseTFModel 方法) on_validation() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.SLBaseTFModel 方法) OneHotEncoder(secretflow.preprocessing 中的类) OneHotEncoder(secretflow.preprocessing.encoder 中的类) open()(在 secretflow.data.io.oss 模块中) open()(在 secretflow.data.io.util 模块中) optim_step() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.ModelPartition 方法) optim_wrapper()(在 secretflow.ml.nn.fl.utils 模块中) other_importance(secretflow.ml.boost.homo_boost.tree_core.feature_importance.FeatureImportance 属性) P p_hid(secretflow.ml.boost.homo_boost.tree_core.feature_histogram.HistogramBag 属性), [1] params(secretflow.ml.boost.homo_boost.boost_core.core.FedBooster 属性) parent_nodeid(secretflow.ml.boost.homo_boost.tree_core.node.Node 属性), [1] partition_columns(secretflow.data.vertical.dataframe.VDataFrame 属性) partition_columns(secretflow.data.vertical.VDataFrame 属性) partition_shape() (secretflow.data.FedNdarray 方法) partition_shape() (secretflow.data.horizontal.dataframe.HDataFrame 方法) partition_shape() (secretflow.data.horizontal.HDataFrame 方法) partition_shape() (secretflow.data.ndarray.FedNdarray 方法) partition_shape() (secretflow.data.vertical.dataframe.VDataFrame 方法) partition_shape() (secretflow.data.vertical.VDataFrame 方法) partition_size() (secretflow.data.FedNdarray 方法) partition_size() (secretflow.data.ndarray.FedNdarray 方法) partition_way(secretflow.data.FedNdarray 属性) partition_way(secretflow.data.mix.dataframe.MixDataFrame 属性) partition_way(secretflow.data.mix.MixDataFrame 属性) partition_way(secretflow.data.ndarray.FedNdarray 属性) partitions(secretflow.data.FedNdarray 属性), [1] partitions(secretflow.data.horizontal.dataframe.HDataFrame 属性), [1] partitions(secretflow.data.horizontal.HDataFrame 属性), [1] partitions(secretflow.data.mix.dataframe.MixDataFrame 属性) partitions(secretflow.data.mix.MixDataFrame 属性) partitions(secretflow.data.ndarray.FedNdarray 属性), [1] partitions(secretflow.data.vertical.dataframe.VDataFrame 属性), [1] partitions(secretflow.data.vertical.VDataFrame 属性), [1] PartitionWay(secretflow.data 中的类) PartitionWay(secretflow.data.mix 中的类) PartitionWay(secretflow.data.mix.dataframe 中的类) PartitionWay(secretflow.data.ndarray 中的类) Partition(secretflow.data.base 中的类) PartyNotFoundError pearsonr() (secretflow.stats.ss_pearsonr_v.PearsonR 方法) PearsonR(secretflow.stats.ss_pearsonr_v 中的类) Penalty(secretflow.ml.linear.ss_sgd.model 中的类) PlainAggregator(secretflow.security 中的类) PlainAggregator(secretflow.security.aggregation 中的类) PlainAggregator(secretflow.security.aggregation.plain_aggregator 中的类) PlainComparator(secretflow.security 中的类) PlainComparator(secretflow.security.compare 中的类) PlainComparator(secretflow.security.compare.plain_comparator 中的类) PoissonDataSampler(secretflow.data.horizontal.sampler 中的类) positive_label(secretflow.preprocessing.binning.vert_woe_binning.VertWoeBinning 属性) positive_samples(secretflow.stats.core.biclassification_eval_core.SummaryReport 属性) positive(secretflow.stats.core.biclassification_eval_core.EqBinReport 属性) possion_sampler()(在 secretflow.ml.nn.fl.backend.tensorflow.sampler 模块中) possion_sampler()(在 secretflow.ml.nn.fl.backend.torch.sampler 模块中) pow() (secretflow.data.base.Partition 方法) pow() (secretflow.data.vertical.dataframe.VDataFrame 方法) pow() (secretflow.data.vertical.VDataFrame 方法) precision_recall_false_positive_rate()(在 secretflow.stats.core.biclassification_eval_core 模块中) Precision(secretflow.ml.nn.fl.metrics 中的类) precision(secretflow.stats.core.biclassification_eval_core.EqBinReport 属性) precision(secretflow.stats.core.biclassification_eval_core.PrReport 属性) predict() (secretflow.ml.boost.ss_xgb_v.model.XgbModel 方法) predict() (secretflow.ml.boost.ss_xgb_v.XgbModel 方法) predict() (secretflow.ml.linear.fl_lr_mix.FlLogisticRegressionMix 方法) predict() (secretflow.ml.linear.fl_lr_v.FlLogisticRegressionVertical 方法) predict() (secretflow.ml.linear.fl_lr_v.FlLrVWorker 方法) predict() (secretflow.ml.linear.FlLogisticRegressionMix 方法) predict() (secretflow.ml.linear.FlLogisticRegressionVertical 方法) predict() (secretflow.ml.linear.hess_sgd.HESSLogisticRegression 方法) predict() (secretflow.ml.linear.hess_sgd.model.HESSLogisticRegression 方法) predict() (secretflow.ml.linear.HESSLogisticRegression 方法) predict() (secretflow.ml.linear.ss_sgd.model.SSRegression 方法) predict() (secretflow.ml.linear.ss_sgd.SSRegression 方法) predict() (secretflow.ml.linear.SSRegression 方法) predict() (secretflow.ml.nn.fl.backend.tensorflow.fl_base.BaseTFModel 方法) predict() (secretflow.ml.nn.fl.backend.torch.fl_base.BaseTorchModel 方法) predict() (secretflow.ml.nn.fl.fl_model.FLModel 方法) predict() (secretflow.ml.nn.FLModel 方法) predict() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.SLBaseTFModel 方法) predict() (secretflow.ml.nn.sl.sl_model.SLModel 方法) predict() (secretflow.ml.nn.SLModel 方法) predict_tree_weight()(在 secretflow.ml.boost.ss_xgb_v.core.node_split 模块中) predicted_negative_ratio(secretflow.stats.core.biclassification_eval_core.EqBinReport 属性) predicted_positive_ratio(secretflow.stats.core.biclassification_eval_core.EqBinReport 属性) prepare_dataset()(在 secretflow.ml.boost.ss_xgb_v.core.utils 模块中) privacy_spent() (secretflow.security.privacy.LabelDP 方法) privacy_spent() (secretflow.security.privacy.mechanism.tensorflow.layers.LabelDP 方法) privacy_spent_gdp() (secretflow.security.privacy.GaussianEmbeddingDP 方法) privacy_spent_gdp() (secretflow.security.privacy.mechanism.tensorflow.layers.GaussianEmbeddingDP 方法) privacy_spent_rdp() (secretflow.security.privacy.GaussianEmbeddingDP 方法) privacy_spent_rdp() (secretflow.security.privacy.GaussianModelDP 方法) privacy_spent_rdp() (secretflow.security.privacy.mechanism.tensorflow.layers.GaussianEmbeddingDP 方法) privacy_spent_rdp() (secretflow.security.privacy.mechanism.tensorflow.mechanism_fl.GaussianModelDP 方法) proxy()(在 secretflow 模块中) proxy()(在 secretflow.device.proxy 模块中) PrReport(secretflow.stats.core.biclassification_eval_core 中的类) psi()(在 secretflow.stats.core.psi_core 模块中) psi_csv() (secretflow.device.device.spu.SPU 方法) psi_csv() (secretflow.SPU 方法) psi_csv()(在 secretflow.device.kernels.spu 模块中) psi_df() (secretflow.device.device.spu.SPU 方法) psi_df() (secretflow.SPU 方法) psi_df()(在 secretflow.device.kernels.spu 模块中) psi_eval()(在 secretflow.stats 模块中) psi_eval()(在 secretflow.stats.psi_eval 模块中) psi_index()(在 secretflow.stats.core.psi_core 模块中) psi_join_csv() (secretflow.device.device.spu.SPU 方法) psi_join_csv() (secretflow.SPU 方法) psi_join_csv()(在 secretflow.device.kernels.spu 模块中) psi_join_df() (secretflow.device.device.spu.SPU 方法) psi_join_df() (secretflow.SPU 方法) psi_join_df()(在 secretflow.device.kernels.spu 模块中) psi_score()(在 secretflow.stats.core.psi_core 模块中) pva()(在 secretflow.stats.core.pva_core 模块中) pva_eval()(在 secretflow.stats 模块中) pva_eval()(在 secretflow.stats.pva_eval 模块中) pvalues() (secretflow.stats.ss_pvalue_v.PVlaue 方法) PVlaue(secretflow.stats.ss_pvalue_v 中的类) PYUFedAvgG()(在 secretflow.ml.nn.fl.backend.tensorflow.strategy 模块中) PYUFedAvgG()(在 secretflow.ml.nn.fl.backend.tensorflow.strategy.fed_avg_g 模块中) PYUFedAvgG()(在 secretflow.ml.nn.fl.backend.torch.strategy 模块中) PYUFedAvgG()(在 secretflow.ml.nn.fl.backend.torch.strategy.fed_avg_g 模块中) PYUFedAvgU()(在 secretflow.ml.nn.fl.backend.tensorflow.strategy 模块中) PYUFedAvgU()(在 secretflow.ml.nn.fl.backend.tensorflow.strategy.fed_avg_u 模块中) PYUFedAvgU()(在 secretflow.ml.nn.fl.backend.torch.strategy 模块中) PYUFedAvgU()(在 secretflow.ml.nn.fl.backend.torch.strategy.fed_avg_u 模块中) PYUFedAvgW()(在 secretflow.ml.nn.fl.backend.tensorflow.strategy 模块中) PYUFedAvgW()(在 secretflow.ml.nn.fl.backend.tensorflow.strategy.fed_avg_w 模块中) PYUFedAvgW()(在 secretflow.ml.nn.fl.backend.torch.strategy 模块中) PYUFedAvgW()(在 secretflow.ml.nn.fl.backend.torch.strategy.fed_avg_w 模块中) PYUFedProx()(在 secretflow.ml.nn.fl.backend.tensorflow.strategy 模块中) PYUFedProx()(在 secretflow.ml.nn.fl.backend.tensorflow.strategy.fed_prox 模块中) PYUFedProx()(在 secretflow.ml.nn.fl.backend.torch.strategy 模块中) PYUFedProx()(在 secretflow.ml.nn.fl.backend.torch.strategy.fed_prox 模块中) PYUFedSCR()(在 secretflow.ml.nn.fl.backend.tensorflow.strategy 模块中) PYUFedSCR()(在 secretflow.ml.nn.fl.backend.tensorflow.strategy.fed_scr 模块中) PYUFedSCR()(在 secretflow.ml.nn.fl.backend.torch.strategy 模块中) PYUFedSCR()(在 secretflow.ml.nn.fl.backend.torch.strategy.fed_scr 模块中) PYUFedSTC()(在 secretflow.ml.nn.fl.backend.tensorflow.strategy 模块中) PYUFedSTC()(在 secretflow.ml.nn.fl.backend.tensorflow.strategy.fed_stc 模块中) PYUFedSTC()(在 secretflow.ml.nn.fl.backend.torch.strategy 模块中) PYUFedSTC()(在 secretflow.ml.nn.fl.backend.torch.strategy.fed_stc 模块中) PYUFlLrVWorker()(在 secretflow.ml.linear.fl_lr_v 模块中) PYUModel()(在 secretflow.ml.nn.sl.backend.tensorflow.sl_base 模块中) PYUObject(secretflow 中的类) PYUObject(secretflow.device.device.pyu 中的类) PYUSLTFModel()(在 secretflow.ml.nn.sl.backend.tensorflow.sl_base 模块中) PYU(secretflow 中的类) PYU(secretflow.device.device.pyu 中的类) PYU(secretflow.device.device.register.DeviceType 属性) Q quantile() (secretflow.data.base.Partition 方法) quantile() (secretflow.data.horizontal.dataframe.HDataFrame 方法) quantile() (secretflow.data.horizontal.HDataFrame 方法) quantile() (secretflow.data.mix.dataframe.MixDataFrame 方法) quantile() (secretflow.data.mix.MixDataFrame 方法) quantile() (secretflow.data.vertical.dataframe.VDataFrame 方法) quantile() (secretflow.data.vertical.VDataFrame 方法) QuantileBinning(secretflow.preprocessing.binning.kernels.quantile_binning 中的类) QuantileSummaries(secretflow.preprocessing.binning.kernels.quantile_summaries 中的类) query() (secretflow.preprocessing.binning.kernels.quantile_summaries.QuantileSummaries 方法) R r2_score()(在 secretflow.data.ndarray 模块中) r2_score(secretflow.stats.regression_eval.RegressionEval 属性) r2_score(secretflow.stats.RegressionEval 属性) randbits()(在 secretflow.utils.ndarray_bigint 模块中) randint()(在 secretflow.utils.ndarray_bigint 模块中) random_state(secretflow.ml.boost.homo_boost.tree_param.TreeParam 属性), [1] RandomSparse(secretflow.utils.compressor 中的类) rdp_core()(在 secretflow.security.privacy.accounting.rdp_accountant 模块中) read_csv()(在 secretflow.data.horizontal 模块中) read_csv()(在 secretflow.data.horizontal.io 模块中) read_csv()(在 secretflow.data.vertical 模块中) read_csv()(在 secretflow.data.vertical.io 模块中) read_csv_wrapper()(在 secretflow.data.io.util 模块中) real_sig()(在 secretflow.utils.sigmoid 模块中) REAL(secretflow.utils.sigmoid.SigType 属性) Recall(secretflow.ml.nn.fl.metrics 中的类) recall(secretflow.stats.core.biclassification_eval_core.EqBinReport 属性) recall(secretflow.stats.core.biclassification_eval_core.PrReport 属性) reconstruct() (secretflow.device.device.spu.SPUIO 方法) record_global_history() (secretflow.ml.nn.fl.utils.History 方法) record_local_history() (secretflow.ml.nn.fl.utils.History 方法) recv() (secretflow.device.link.Link 方法) recv_from_clients()(在 secretflow.device.link 模块中) recv_from_server()(在 secretflow.device.link 模块中) recv_message() (secretflow.device.link.Link 方法) reg_alpha(secretflow.ml.boost.homo_boost.tree_core.criterion.XgboostCriterion 属性) reg_alpha(secretflow.ml.boost.homo_boost.tree_param.TreeParam 属性), [1] reg_lambda(secretflow.ml.boost.homo_boost.tree_param.TreeParam 属性), [1] reg_type(secretflow.ml.linear.linear_model.LinearModel 属性), [1] reg_type(secretflow.ml.linear.LinearModel 属性), [1] register() (secretflow.device.device.register.Registrar 方法) register() (secretflow.ml.nn.fl.strategy_dispatcher.Dispatcher 方法) register()(在 secretflow.device.device.register 模块中) register_strategy()(在 secretflow.ml.nn.fl.strategy_dispatcher 模块中) Registrar(secretflow.device.device.register 中的类) RegressionEval(secretflow.stats 中的类) RegressionEval(secretflow.stats.regression_eval 中的类) RegType(secretflow.ml.boost.ss_xgb_v.core.node_split 中的类) RegType(secretflow.ml.linear 中的类) RegType(secretflow.ml.linear.linear_model 中的类) rename() (secretflow.data.base.Partition 方法) replace() (secretflow.data.base.Partition 方法) replace() (secretflow.data.horizontal.dataframe.HDataFrame 方法) replace() (secretflow.data.horizontal.HDataFrame 方法) replace() (secretflow.data.vertical.dataframe.VDataFrame 方法) replace() (secretflow.data.vertical.VDataFrame 方法) Report(secretflow.stats.core.biclassification_eval_core 中的类) reset() (secretflow.device.device.spu.SPU 方法) reset() (secretflow.SPU 方法) reset_metrics() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.SLBaseTFModel 方法) residual_histogram()(在 secretflow.data.ndarray 模块中) residual_hist(secretflow.stats.regression_eval.RegressionEval 属性) residual_hist(secretflow.stats.RegressionEval 属性) resize() (secretflow.utils.ndarray_bigint.BigintNdArray 方法) result() (secretflow.ml.nn.fl.metrics.AUC 方法) result() (secretflow.ml.nn.fl.metrics.Default 方法) result() (secretflow.ml.nn.fl.metrics.Mean 方法) result() (secretflow.ml.nn.fl.metrics.Metric 方法) result() (secretflow.ml.nn.fl.metrics.Precision 方法) result() (secretflow.ml.nn.fl.metrics.Recall 方法) reveal()(在 secretflow 模块中) reveal()(在 secretflow.device.driver 模块中) right_nodeid(secretflow.ml.boost.homo_boost.tree_core.node.Node 属性), [1] roc_curve()(在 secretflow.stats.core.biclassification_eval_core 模块中) root_mean_squared_error()(在 secretflow.data.ndarray 模块中) root_mean_squared_errors(secretflow.stats.regression_eval.RegressionEval 属性) root_mean_squared_errors(secretflow.stats.RegressionEval 属性) root_select()(在 secretflow.ml.boost.ss_xgb_v.core.node_split 模块中) round() (secretflow.data.base.Partition 方法) round() (secretflow.data.vertical.dataframe.VDataFrame 方法) round() (secretflow.data.vertical.VDataFrame 方法) rows_count()(在 secretflow.utils.io 模块中) rss()(在 secretflow.data.ndarray 模块中) S s3fs()(在 secretflow.data.io.oss 模块中) sample_count(secretflow.ml.boost.homo_boost.tree_core.splitter.SplitInfo 属性), [1] sample_num(secretflow.ml.boost.homo_boost.tree_core.node.Node 属性), [1] sampler_data()(在 secretflow.ml.nn.fl.backend.tensorflow.sampler 模块中) sampler_data()(在 secretflow.ml.nn.fl.backend.torch.sampler 模块中) save_base_model() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.SLBaseTFModel 方法) save_fuse_model() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.SLBaseTFModel 方法) save_model() (secretflow.ml.boost.homo_boost.boost_core.core.FedBooster 方法) save_model() (secretflow.ml.boost.homo_boost.homo_booster.SFXgboost 方法) save_model() (secretflow.ml.boost.homo_boost.SFXgboost 方法) save_model() (secretflow.ml.linear.hess_sgd.HESSLogisticRegression 方法) save_model() (secretflow.ml.linear.hess_sgd.model.HESSLogisticRegression 方法) save_model() (secretflow.ml.linear.HESSLogisticRegression 方法) save_model() (secretflow.ml.linear.ss_sgd.model.SSRegression 方法) save_model() (secretflow.ml.linear.ss_sgd.SSRegression 方法) save_model() (secretflow.ml.linear.SSRegression 方法) save_model() (secretflow.ml.nn.fl.backend.tensorflow.fl_base.BaseTFModel 方法) save_model() (secretflow.ml.nn.fl.backend.torch.fl_base.BaseTorchModel 方法) save_model() (secretflow.ml.nn.fl.fl_model.FLModel 方法) save_model() (secretflow.ml.nn.FLModel 方法) save_model() (secretflow.ml.nn.sl.sl_model.SLModel 方法) save_model() (secretflow.ml.nn.SLModel 方法) save_xgboost_model() (secretflow.ml.boost.homo_boost.tree_core.decision_tree.DecisionTree 方法) ScoreCard(secretflow.stats 中的类) ScoreCard(secretflow.stats.score_card 中的类) SCRSparse(secretflow.ml.nn.fl.sparse 中的类) secretflow 模块 secretflow.data 模块 secretflow.data.base 模块 secretflow.data.horizontal 模块 secretflow.data.horizontal.dataframe 模块 secretflow.data.horizontal.io 模块 secretflow.data.horizontal.sampler 模块 secretflow.data.io 模块 secretflow.data.io.oss 模块 secretflow.data.io.util 模块 secretflow.data.math_utils 模块 secretflow.data.mix 模块 secretflow.data.mix.dataframe 模块 secretflow.data.ndarray 模块 secretflow.data.split 模块 secretflow.data.vertical 模块 secretflow.data.vertical.dataframe 模块 secretflow.data.vertical.io 模块 secretflow.device 模块 secretflow.device.device 模块 secretflow.device.device.base 模块 secretflow.device.device.heu 模块 secretflow.device.device.heu_object 模块 secretflow.device.device.pyu 模块 secretflow.device.device.register 模块 secretflow.device.device.spu 模块 secretflow.device.device.type_traits 模块 secretflow.device.driver 模块 secretflow.device.kernels 模块 secretflow.device.kernels.heu 模块 secretflow.device.kernels.pyu 模块 secretflow.device.kernels.spu 模块 secretflow.device.link 模块 secretflow.device.proxy 模块 secretflow.ml 模块 secretflow.ml.boost 模块 secretflow.ml.boost.homo_boost 模块 secretflow.ml.boost.homo_boost.boost_core 模块 secretflow.ml.boost.homo_boost.boost_core.callback 模块 secretflow.ml.boost.homo_boost.boost_core.core 模块 secretflow.ml.boost.homo_boost.boost_core.training 模块 secretflow.ml.boost.homo_boost.homo_booster 模块 secretflow.ml.boost.homo_boost.homo_booster_worker 模块 secretflow.ml.boost.homo_boost.homo_decision_tree 模块 secretflow.ml.boost.homo_boost.tree_core 模块 secretflow.ml.boost.homo_boost.tree_core.criterion 模块 secretflow.ml.boost.homo_boost.tree_core.decision_tree 模块 secretflow.ml.boost.homo_boost.tree_core.feature_histogram 模块 secretflow.ml.boost.homo_boost.tree_core.feature_importance 模块 secretflow.ml.boost.homo_boost.tree_core.loss_function 模块 secretflow.ml.boost.homo_boost.tree_core.node 模块 secretflow.ml.boost.homo_boost.tree_core.splitter 模块 secretflow.ml.boost.homo_boost.tree_param 模块 secretflow.ml.boost.ss_xgb_v 模块 secretflow.ml.boost.ss_xgb_v.core 模块 secretflow.ml.boost.ss_xgb_v.core.node_split 模块 secretflow.ml.boost.ss_xgb_v.core.tree_worker 模块 secretflow.ml.boost.ss_xgb_v.core.utils 模块 secretflow.ml.boost.ss_xgb_v.core.xgb_tree 模块 secretflow.ml.boost.ss_xgb_v.model 模块 secretflow.ml.linear 模块 secretflow.ml.linear.fl_lr_mix 模块 secretflow.ml.linear.fl_lr_v 模块 secretflow.ml.linear.hess_sgd 模块 secretflow.ml.linear.hess_sgd.model 模块 secretflow.ml.linear.linear_model 模块 secretflow.ml.linear.ss_sgd 模块 secretflow.ml.linear.ss_sgd.model 模块 secretflow.ml.nn 模块 secretflow.ml.nn.fl 模块 secretflow.ml.nn.fl.backend 模块 secretflow.ml.nn.fl.backend.tensorflow 模块 secretflow.ml.nn.fl.backend.tensorflow.fl_base 模块 secretflow.ml.nn.fl.backend.tensorflow.sampler 模块 secretflow.ml.nn.fl.backend.tensorflow.strategy 模块 secretflow.ml.nn.fl.backend.tensorflow.strategy.fed_avg_g 模块 secretflow.ml.nn.fl.backend.tensorflow.strategy.fed_avg_u 模块 secretflow.ml.nn.fl.backend.tensorflow.strategy.fed_avg_w 模块 secretflow.ml.nn.fl.backend.tensorflow.strategy.fed_prox 模块 secretflow.ml.nn.fl.backend.tensorflow.strategy.fed_scr 模块 secretflow.ml.nn.fl.backend.tensorflow.strategy.fed_stc 模块 secretflow.ml.nn.fl.backend.torch 模块 secretflow.ml.nn.fl.backend.torch.fl_base 模块 secretflow.ml.nn.fl.backend.torch.sampler 模块 secretflow.ml.nn.fl.backend.torch.strategy 模块 secretflow.ml.nn.fl.backend.torch.strategy.fed_avg_g 模块 secretflow.ml.nn.fl.backend.torch.strategy.fed_avg_u 模块 secretflow.ml.nn.fl.backend.torch.strategy.fed_avg_w 模块 secretflow.ml.nn.fl.backend.torch.strategy.fed_prox 模块 secretflow.ml.nn.fl.backend.torch.strategy.fed_scr 模块 secretflow.ml.nn.fl.backend.torch.strategy.fed_stc 模块 secretflow.ml.nn.fl.backend.torch.utils 模块 secretflow.ml.nn.fl.compress 模块 secretflow.ml.nn.fl.fl_model 模块 secretflow.ml.nn.fl.metrics 模块 secretflow.ml.nn.fl.sparse 模块 secretflow.ml.nn.fl.strategy_dispatcher 模块 secretflow.ml.nn.fl.utils 模块 secretflow.ml.nn.sl 模块 secretflow.ml.nn.sl.backend 模块 secretflow.ml.nn.sl.backend.tensorflow 模块 secretflow.ml.nn.sl.backend.tensorflow.sl_base 模块 secretflow.ml.nn.sl.backend.tensorflow.utils 模块 secretflow.ml.nn.sl.backend.torch 模块 secretflow.ml.nn.sl.sl_model 模块 secretflow.preprocessing 模块 secretflow.preprocessing.binning 模块 secretflow.preprocessing.binning.homo_binning 模块 secretflow.preprocessing.binning.homo_binning_base 模块 secretflow.preprocessing.binning.kernels 模块 secretflow.preprocessing.binning.kernels.base_binning 模块 secretflow.preprocessing.binning.kernels.quantile_binning 模块 secretflow.preprocessing.binning.kernels.quantile_summaries 模块 secretflow.preprocessing.binning.vert_woe_binning 模块 secretflow.preprocessing.binning.vert_woe_binning_pyu 模块 secretflow.preprocessing.binning.vert_woe_substitution 模块 secretflow.preprocessing.discretization 模块 secretflow.preprocessing.encoder 模块 secretflow.preprocessing.scaler 模块 secretflow.preprocessing.transformer 模块 secretflow.security 模块 secretflow.security.aggregation 模块 secretflow.security.aggregation.aggregator 模块 secretflow.security.aggregation.plain_aggregator 模块 secretflow.security.aggregation.secure_aggregator 模块 secretflow.security.aggregation.spu_aggregator 模块 secretflow.security.compare 模块 secretflow.security.compare.comparator 模块 secretflow.security.compare.device_comparator 模块 secretflow.security.compare.plain_comparator 模块 secretflow.security.compare.spu_comparator 模块 secretflow.security.diffie_hellman 模块 secretflow.security.privacy 模块 secretflow.security.privacy.accounting 模块 secretflow.security.privacy.accounting.gdp_accountant 模块 secretflow.security.privacy.accounting.log_utils 模块 secretflow.security.privacy.accounting.rdp_accountant 模块 secretflow.security.privacy.mechanism 模块 secretflow.security.privacy.mechanism.tensorflow 模块 secretflow.security.privacy.mechanism.tensorflow.layers 模块 secretflow.security.privacy.mechanism.tensorflow.mechanism_fl 模块 secretflow.security.privacy.strategy 模块 secretflow.security.privacy.strategy_fl 模块 secretflow.stats 模块 secretflow.stats.biclassification_eval 模块 secretflow.stats.core 模块 secretflow.stats.core.biclassification_eval_core 模块 secretflow.stats.core.psi_core 模块 secretflow.stats.core.pva_core 模块 secretflow.stats.core.utils 模块 secretflow.stats.psi_eval 模块 secretflow.stats.pva_eval 模块 secretflow.stats.regression_eval 模块 secretflow.stats.score_card 模块 secretflow.stats.ss_pearsonr_v 模块 secretflow.stats.ss_pvalue_v 模块 secretflow.stats.ss_vif_v 模块 secretflow.stats.table_statistics 模块 secretflow.utils 模块 secretflow.utils.compressor 模块 secretflow.utils.errors 模块 secretflow.utils.hash 模块 secretflow.utils.io 模块 secretflow.utils.ndarray_bigint 模块 secretflow.utils.ndarray_encoding 模块 secretflow.utils.sigmoid 模块 secretflow.utils.simulation 模块 secretflow.utils.simulation.data 模块 secretflow.utils.simulation.data.dataframe 模块 secretflow.utils.simulation.data.ndarray 模块 secretflow.utils.simulation.datasets 模块 secretflow.utils.simulation.tf_gnn_model 模块 secretflow.utils.testing 模块 secure_device(secretflow.preprocessing.binning.vert_woe_binning.VertWoeBinning 属性) SecureAggregator(secretflow.security 中的类) SecureAggregator(secretflow.security.aggregation 中的类) SecureAggregator(secretflow.security.aggregation.secure_aggregator 中的类) seg3_sig()(在 secretflow.utils.sigmoid 模块中) select_dtypes() (secretflow.data.base.Partition 方法) select_dtypes() (secretflow.data.vertical.dataframe.VDataFrame 方法) select_dtypes() (secretflow.data.vertical.VDataFrame 方法) sem() (secretflow.data.base.Partition 方法) sem() (secretflow.data.horizontal.dataframe.HDataFrame 方法) sem() (secretflow.data.horizontal.HDataFrame 方法) sem() (secretflow.data.mix.dataframe.MixDataFrame 方法) sem() (secretflow.data.mix.MixDataFrame 方法) sem() (secretflow.data.vertical.dataframe.VDataFrame 方法) sem() (secretflow.data.vertical.VDataFrame 方法) send() (secretflow.device.link.Link 方法) send_to_clients()(在 secretflow.device.link 模块中) send_to_server()(在 secretflow.device.link 模块中) ServerNet(secretflow.utils.simulation.tf_gnn_model 中的类) server(secretflow.device.link.Link 属性) set_gradients() (secretflow.ml.nn.fl.backend.torch.utils.BaseModule 方法) set_gradients() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.SLBaseModule 方法) set_mesh()(在 secretflow.device.link 模块中) set_random_seed() (secretflow.data.horizontal.sampler.PoissonDataSampler 方法) set_sample_weight() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.SLBaseTFModel 方法) set_steps_per_epoch() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.SLBaseTFModel 方法) set_validation_metrics() (secretflow.ml.nn.fl.backend.tensorflow.fl_base.BaseTFModel 方法) set_validation_metrics() (secretflow.ml.nn.fl.backend.torch.fl_base.BaseTorchModel 方法) set_weight() (secretflow.ml.linear.fl_lr_v.FlLogisticRegressionVertical 方法) set_weight() (secretflow.ml.linear.fl_lr_v.FlLrVWorker 方法) set_weight() (secretflow.ml.linear.FlLogisticRegressionVertical 方法) set_weights() (secretflow.ml.nn.fl.backend.tensorflow.fl_base.BaseTFModel 方法) set_weights() (secretflow.ml.nn.fl.backend.torch.fl_base.BaseTorchModel 方法) set_weights() (secretflow.ml.nn.fl.backend.torch.utils.BaseModule 方法) set_weights() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.ModelPartition 方法) set_weights() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.SLBaseModule 方法) setitem() (secretflow.device.device.heu.HEUActor 方法) setup_header_param() (secretflow.preprocessing.binning.homo_binning.HomoBinning 方法) SFXgboost(secretflow.ml.boost.homo_boost 中的类) SFXgboost(secretflow.ml.boost.homo_boost.homo_booster 中的类) sha256sum()(在 secretflow.utils.hash 模块中) shape(secretflow.data.base.Partition 属性) shape(secretflow.data.FedNdarray 属性) shape(secretflow.data.horizontal.dataframe.HDataFrame 属性) shape(secretflow.data.horizontal.HDataFrame 属性) shape(secretflow.data.mix.dataframe.MixDataFrame 属性) shape(secretflow.data.mix.MixDataFrame 属性) shape(secretflow.data.ndarray.FedNdarray 属性) shape(secretflow.data.vertical.dataframe.VDataFrame 属性) shape(secretflow.data.vertical.VDataFrame 属性) shape(secretflow.device.device.spu.SPUValueMeta 属性) shuffle()(在 secretflow.data.ndarray 模块中) shutdown()(在 secretflow 模块中) shutdown()(在 secretflow.device.driver 模块中) sibling_nodeid(secretflow.ml.boost.homo_boost.tree_core.node.Node 属性), [1] sig_type(secretflow.ml.linear.linear_model.LinearModel 属性), [1] sig_type(secretflow.ml.linear.LinearModel 属性), [1] sigmoid()(在 secretflow.ml.boost.ss_xgb_v.core.node_split 模块中) sigmoid()(在 secretflow.utils.sigmoid 模块中) SigType(secretflow.utils.sigmoid 中的类) SINGLE(secretflow.device.device.spu.SPUCompilerNumReturnsPolicy 属性) sk_keeper_name() (secretflow.device.device.heu.HEU 方法) sk_keeper_name() (secretflow.HEU 方法) skew() (secretflow.data.base.Partition 方法) skew() (secretflow.data.horizontal.dataframe.HDataFrame 方法) skew() (secretflow.data.horizontal.HDataFrame 方法) skew() (secretflow.data.mix.dataframe.MixDataFrame 方法) skew() (secretflow.data.mix.MixDataFrame 方法) skew() (secretflow.data.vertical.dataframe.VDataFrame 方法) skew() (secretflow.data.vertical.VDataFrame 方法) SLBaseModel(secretflow.ml.nn.sl.backend.tensorflow.sl_base 中的类) SLBaseModule(secretflow.ml.nn.sl.backend.tensorflow.sl_base 中的类) SLBaseTFModel(secretflow.ml.nn.sl.backend.tensorflow.sl_base 中的类) SLModel(secretflow.ml.nn 中的类) SLModel(secretflow.ml.nn.sl.sl_model 中的类) SparseCompressor(secretflow.utils.compressor 中的类) split_gain() (secretflow.ml.boost.homo_boost.tree_core.criterion.Criterion 方法) split_gain() (secretflow.ml.boost.homo_boost.tree_core.criterion.XgboostCriterion 方法) split_gain() (secretflow.ml.boost.homo_boost.tree_core.splitter.Splitter 方法) split_points(secretflow.preprocessing.binning.kernels.base_binning.BaseBinning 属性) SplitInfo(secretflow.ml.boost.homo_boost.tree_core.splitter 中的类) SplitPointNode(secretflow.preprocessing.binning.homo_binning_base 中的类) Splitter(secretflow.ml.boost.homo_boost.tree_core.splitter 中的类) spu_datatype_to_heu()(在 secretflow.device.device.type_traits 模块中) spu_fxp_precision()(在 secretflow.device.device.type_traits 模块中) spu_fxp_size()(在 secretflow.device.device.type_traits 模块中) spu_to_heu()(在 secretflow.device.kernels.spu 模块中) spu_vis(secretflow.device.device.base.MoveConfig 属性) SPUAggregator(secretflow.security 中的类) SPUAggregator(secretflow.security.aggregation 中的类) SPUAggregator(secretflow.security.aggregation.spu_aggregator 中的类) SPUComparator(secretflow.security 中的类) SPUComparator(secretflow.security.compare 中的类) SPUComparator(secretflow.security.compare.spu_comparator 中的类) SPUCompilerNumReturnsPolicy(secretflow.device.device.spu 中的类) SPUIO(secretflow.device.device.spu 中的类) SPUObject(secretflow 中的类) SPUObject(secretflow.device.device.spu 中的类) SPUValueMeta(secretflow.device.device.spu 中的类) SPU(secretflow 中的类) SPU(secretflow.device.device.register.DeviceType 属性) SPU(secretflow.device.device.spu 中的类) sr_sig()(在 secretflow.utils.sigmoid 模块中) SR(secretflow.utils.sigmoid.SigType 属性) SSPValue()(在 secretflow.stats 模块中) SSRegression(secretflow.ml.linear 中的类) SSRegression(secretflow.ml.linear.ss_sgd 中的类) SSRegression(secretflow.ml.linear.ss_sgd.model 中的类) SSVertPearsonR()(在 secretflow.stats 模块中) SSVertVIF()(在 secretflow.stats 模块中) standardize(secretflow.stats.ss_pearsonr_v.PearsonR 属性) standardize(secretflow.stats.ss_vif_v.VIF 属性) StandardScaler(secretflow.preprocessing 中的类) StandardScaler(secretflow.preprocessing.scaler 中的类) start_value(secretflow.stats.core.biclassification_eval_core.EqBinReport 属性) Stats(secretflow.preprocessing.binning.kernels.quantile_summaries 中的类) stc_compress()(在 secretflow.ml.nn.fl.compress 模块中) STCSparse(secretflow.ml.nn.fl.sparse 中的类) std() (secretflow.data.base.Partition 方法) std() (secretflow.data.horizontal.dataframe.HDataFrame 方法) std() (secretflow.data.horizontal.HDataFrame 方法) std() (secretflow.data.mix.dataframe.MixDataFrame 方法) std() (secretflow.data.mix.MixDataFrame 方法) std() (secretflow.data.vertical.dataframe.VDataFrame 方法) std() (secretflow.data.vertical.VDataFrame 方法) sub()(在 secretflow.device.kernels.heu 模块中) sub_log()(在 secretflow.security.privacy.accounting.log_utils 模块中) subsample(secretflow.ml.boost.homo_boost.tree_param.TreeParam 属性), [1] substitution() (secretflow.preprocessing.binning.vert_woe_substitution.VertWOESubstitution 方法) subtract() (secretflow.data.base.Partition 方法) subtract() (secretflow.data.vertical.dataframe.VDataFrame 方法) subtract() (secretflow.data.vertical.VDataFrame 方法) subtract()(在 secretflow.data.ndarray 模块中) sum() (secretflow.data.base.Partition 方法) sum() (secretflow.data.horizontal.dataframe.HDataFrame 方法) sum() (secretflow.data.horizontal.HDataFrame 方法) sum() (secretflow.data.vertical.dataframe.VDataFrame 方法) sum() (secretflow.data.vertical.VDataFrame 方法) sum() (secretflow.device.device.heu.HEUActor 方法) sum() (secretflow.device.device.heu_object.HEUObject 方法) sum() (secretflow.HEUObject 方法) sum() (secretflow.security.aggregation.Aggregator 方法) sum() (secretflow.security.aggregation.aggregator.Aggregator 方法) sum() (secretflow.security.aggregation.plain_aggregator.PlainAggregator 方法) sum() (secretflow.security.aggregation.PlainAggregator 方法) sum() (secretflow.security.aggregation.secure_aggregator.SecureAggregator 方法) sum() (secretflow.security.aggregation.SecureAggregator 方法) sum() (secretflow.security.aggregation.spu_aggregator.SPUAggregator 方法) sum() (secretflow.security.aggregation.SPUAggregator 方法) sum() (secretflow.security.Aggregator 方法) sum() (secretflow.security.PlainAggregator 方法) sum() (secretflow.security.SecureAggregator 方法) sum() (secretflow.security.SPUAggregator 方法) sum_grad(secretflow.ml.boost.homo_boost.tree_core.node.Node 属性), [1] sum_grad(secretflow.ml.boost.homo_boost.tree_core.splitter.SplitInfo 属性), [1] sum_hess(secretflow.ml.boost.homo_boost.tree_core.node.Node 属性), [1] sum_hess(secretflow.ml.boost.homo_boost.tree_core.splitter.SplitInfo 属性), [1] sum_of_difference_abs()(在 secretflow.data.math_utils 模块中) sum_of_difference_ratio_abs()(在 secretflow.data.math_utils 模块中) sum_of_difference_squares()(在 secretflow.data.math_utils 模块中) sum_squared_errors(secretflow.stats.regression_eval.RegressionEval 属性) sum_squared_errors(secretflow.stats.RegressionEval 属性) summary_dict(secretflow.preprocessing.binning.kernels.quantile_binning.QuantileBinning 属性) summary_report(secretflow.stats.core.biclassification_eval_core.Report 属性) SummaryReport(secretflow.stats.core.biclassification_eval_core 中的类) summary(secretflow.stats.core.biclassification_eval_core.GroupReport 属性) T t1_sig()(在 secretflow.utils.sigmoid 模块中) T1(secretflow.utils.sigmoid.SigType 属性) t3_sig()(在 secretflow.utils.sigmoid 模块中) T3(secretflow.utils.sigmoid.SigType 属性) t5_sig()(在 secretflow.utils.sigmoid 模块中) T5(secretflow.utils.sigmoid.SigType 属性) table_statistics()(在 secretflow.stats 模块中) table_statistics()(在 secretflow.stats.table_statistics 模块中) TEE(secretflow.device.device.register.DeviceType 属性) thresholds(secretflow.ml.nn.fl.metrics.AUC 属性) thresholds(secretflow.ml.nn.fl.metrics.Precision 属性), [1] thresholds(secretflow.ml.nn.fl.metrics.Recall 属性), [1] to() (secretflow.device.device.base.DeviceObject 方法) to() (secretflow.DeviceObject 方法) to()(在 secretflow 模块中) to()(在 secretflow.device.driver 模块中) to()(在 secretflow.device.kernels.heu 模块中) to()(在 secretflow.device.kernels.pyu 模块中) to()(在 secretflow.device.kernels.spu 模块中) to_bytes() (secretflow.utils.ndarray_bigint.BigintNdArray 方法) to_csv() (secretflow.data.base.Partition 方法) to_csv() (secretflow.data.horizontal.dataframe.HDataFrame 方法) to_csv() (secretflow.data.horizontal.HDataFrame 方法) to_csv() (secretflow.data.vertical.dataframe.VDataFrame 方法) to_csv() (secretflow.data.vertical.VDataFrame 方法) to_csv()(在 secretflow.data.horizontal 模块中) to_csv()(在 secretflow.data.horizontal.io 模块中) to_csv()(在 secretflow.data.vertical 模块中) to_csv()(在 secretflow.data.vertical.io 模块中) to_csv_wrapper()(在 secretflow.data.io.util 模块中) to_hnp() (secretflow.utils.ndarray_bigint.BigintNdArray 方法) to_list() (secretflow.utils.ndarray_bigint.BigintNdArray 方法) to_numpy() (secretflow.utils.ndarray_bigint.BigintNdArray 方法) TopkSparse(secretflow.utils.compressor 中的类) TorchModel(secretflow.ml.nn.fl.backend.torch.utils 中的类) total_cumulative_percent(secretflow.stats.core.biclassification_eval_core.EqBinReport 属性) total_samples(secretflow.stats.core.biclassification_eval_core.SummaryReport 属性) total(secretflow.ml.nn.fl.metrics.Default 属性) total(secretflow.ml.nn.fl.metrics.Mean 属性), [1] total(secretflow.stats.core.biclassification_eval_core.EqBinReport 属性) train() (secretflow.ml.boost.homo_boost.homo_booster.SFXgboost 方法) train() (secretflow.ml.boost.homo_boost.SFXgboost 方法) train() (secretflow.ml.boost.ss_xgb_v.model.Xgb 方法) train() (secretflow.ml.boost.ss_xgb_v.Xgb 方法) train()(在 secretflow.ml.boost.homo_boost.boost_core.training 模块中) train_step() (secretflow.ml.nn.fl.backend.tensorflow.fl_base.BaseTFModel 方法) train_step() (secretflow.ml.nn.fl.backend.tensorflow.strategy.fed_avg_g.FedAvgG 方法) train_step() (secretflow.ml.nn.fl.backend.tensorflow.strategy.fed_avg_u.FedAvgU 方法) train_step() (secretflow.ml.nn.fl.backend.tensorflow.strategy.fed_avg_w.FedAvgW 方法) train_step() (secretflow.ml.nn.fl.backend.tensorflow.strategy.fed_prox.FedProx 方法) train_step() (secretflow.ml.nn.fl.backend.tensorflow.strategy.fed_scr.FedSCR 方法) train_step() (secretflow.ml.nn.fl.backend.tensorflow.strategy.fed_stc.FedSTC 方法) train_step() (secretflow.ml.nn.fl.backend.torch.fl_base.BaseTorchModel 方法) train_step() (secretflow.ml.nn.fl.backend.torch.strategy.fed_avg_g.FedAvgG 方法) train_step() (secretflow.ml.nn.fl.backend.torch.strategy.fed_avg_u.FedAvgU 方法) train_step() (secretflow.ml.nn.fl.backend.torch.strategy.fed_avg_w.FedAvgW 方法) train_step() (secretflow.ml.nn.fl.backend.torch.strategy.fed_prox.FedProx 方法) train_step() (secretflow.ml.nn.fl.backend.torch.strategy.fed_scr.FedSCR 方法) train_step() (secretflow.ml.nn.fl.backend.torch.strategy.fed_stc.FedSTC 方法) train_test_split()(在 secretflow.data.ndarray 模块中) train_test_split()(在 secretflow.data.split 模块中) training(secretflow.ml.nn.fl.backend.torch.utils.BaseModule 属性) training(secretflow.ml.nn.sl.backend.tensorflow.sl_base.SLBaseModule 属性) transform() (secretflow.preprocessing.discretization.KBinsDiscretizer 方法) transform() (secretflow.preprocessing.encoder.LabelEncoder 方法) transform() (secretflow.preprocessing.encoder.OneHotEncoder 方法) transform() (secretflow.preprocessing.KBinsDiscretizer 方法) transform() (secretflow.preprocessing.LabelEncoder 方法) transform() (secretflow.preprocessing.MinMaxScaler 方法) transform() (secretflow.preprocessing.OneHotEncoder 方法) transform() (secretflow.preprocessing.scaler.MinMaxScaler 方法) transform() (secretflow.preprocessing.scaler.StandardScaler 方法) transform() (secretflow.preprocessing.StandardScaler 方法) transform() (secretflow.stats.score_card.ScoreCard 方法) transform() (secretflow.stats.ScoreCard 方法) transform_metrics() (secretflow.ml.nn.fl.backend.torch.fl_base.BaseTorchModel 方法) tree_id(secretflow.ml.boost.homo_boost.homo_decision_tree.HomoDecisionTree 属性) tree_id(secretflow.ml.boost.homo_boost.tree_core.decision_tree.DecisionTree 属性) tree_method(secretflow.ml.boost.homo_boost.tree_param.TreeParam 属性), [1] tree_param(secretflow.ml.boost.homo_boost.homo_decision_tree.HomoDecisionTree 属性) tree_param(secretflow.ml.boost.homo_boost.tree_core.decision_tree.DecisionTree 属性) tree_setup()(在 secretflow.ml.boost.ss_xgb_v.core.node_split 模块中) TreeParam(secretflow.ml.boost.homo_boost.tree_param 中的类) true_negatives(secretflow.ml.nn.fl.metrics.AUC 属性) true_positives(secretflow.ml.nn.fl.metrics.AUC 属性) true_positives(secretflow.ml.nn.fl.metrics.Precision 属性), [1] true_positives(secretflow.ml.nn.fl.metrics.Recall 属性), [1] truncate()(secretflow.ml.boost.homo_boost.tree_core.criterion.XgboostCriterion 静态方法) tss()(在 secretflow.data.ndarray 模块中) U unary_op()(在 secretflow.data.ndarray 模块中) UnexpectedError unused_tcp_port()(在 secretflow.utils.testing 模块中) update_feature_importance() (secretflow.ml.boost.homo_boost.tree_core.decision_tree.DecisionTree 方法) update_tree() (secretflow.ml.boost.homo_boost.tree_core.decision_tree.DecisionTree 方法) update_weight() (secretflow.ml.linear.fl_lr_v.FlLrVWorker 方法) update_weight_agg() (secretflow.ml.linear.fl_lr_v.FlLrVWorker 方法) update_weights() (secretflow.ml.nn.fl.backend.torch.utils.BaseModule 方法) use_missing(secretflow.ml.boost.homo_boost.tree_param.TreeParam 属性), [1] V value_counts() (secretflow.data.base.Partition 方法) value_to_rank() (secretflow.preprocessing.binning.kernels.quantile_summaries.QuantileSummaries 方法) values() (secretflow.data.base.DataFrameBase 方法) values(secretflow.data.base.Partition 属性) values(secretflow.data.horizontal.dataframe.HDataFrame 属性) values(secretflow.data.horizontal.HDataFrame 属性) values(secretflow.data.mix.dataframe.MixDataFrame 属性) values(secretflow.data.mix.MixDataFrame 属性) values(secretflow.data.vertical.dataframe.VDataFrame 属性) values(secretflow.data.vertical.VDataFrame 属性) value(secretflow.preprocessing.binning.homo_binning_base.SplitPointNode 属性), [1] value(secretflow.preprocessing.binning.kernels.quantile_summaries.Stats 属性), [1] var() (secretflow.data.base.Partition 方法) var() (secretflow.data.horizontal.dataframe.HDataFrame 方法) var() (secretflow.data.horizontal.HDataFrame 方法) var() (secretflow.data.mix.dataframe.MixDataFrame 方法) var() (secretflow.data.mix.MixDataFrame 方法) var() (secretflow.data.vertical.dataframe.VDataFrame 方法) var() (secretflow.data.vertical.VDataFrame 方法) vdata()(在 secretflow.stats 模块中), [1] VDataFrame(secretflow.data.vertical 中的类) VDataFrame(secretflow.data.vertical.dataframe 中的类) vdata(secretflow.preprocessing.binning.vert_woe_binning.VertWoeBinning 属性) vdata(secretflow.stats.ss_pearsonr_v.PearsonR 属性), [1] vdata(secretflow.stats.ss_vif_v.VIF 属性), [1] verbosity(secretflow.ml.boost.homo_boost.tree_param.TreeParam 属性), [1] VERTICAL(secretflow.data.mix.dataframe.PartitionWay 属性) VERTICAL(secretflow.data.mix.PartitionWay 属性) VERTICAL(secretflow.data.ndarray.PartitionWay 属性) VERTICAL(secretflow.data.PartitionWay 属性) VertWoeBinningPyuWorker()(在 secretflow.preprocessing.binning.vert_woe_binning_pyu 模块中) VertWoeBinning(secretflow.preprocessing.binning.vert_woe_binning 中的类) VertWOESubstitutionPyuWorker()(在 secretflow.preprocessing.binning.vert_woe_substitution 模块中) VertWOESubstitution(secretflow.preprocessing.binning.vert_woe_substitution 中的类) vif() (secretflow.stats.ss_vif_v.VIF 方法) VIF(secretflow.stats.ss_vif_v 中的类) vtype(secretflow.device.device.spu.SPUValueMeta 属性) W w_norm() (secretflow.ml.nn.fl.backend.tensorflow.strategy.fed_prox.FedProx 方法) w_norm() (secretflow.ml.nn.fl.backend.torch.strategy.fed_prox.FedProx 方法) wait()(在 secretflow 模块中) wait()(在 secretflow.device.driver 模块中) weights(secretflow.ml.linear.linear_model.LinearModel 属性), [1] weights(secretflow.ml.linear.LinearModel 属性), [1] weight(secretflow.ml.boost.homo_boost.tree_core.node.Node 属性), [1] with_device()(在 secretflow.device.driver 模块中) with_kwargs() (secretflow.ml.nn.sl.backend.tensorflow.utils.custom_loss 方法) wrap_local_metrics() (secretflow.ml.nn.fl.backend.tensorflow.fl_base.BaseTFModel 方法) wrap_local_metrics() (secretflow.ml.nn.fl.backend.torch.fl_base.BaseTorchModel 方法) w(secretflow.preprocessing.binning.kernels.quantile_summaries.Stats 属性), [1] X XgbModel(secretflow.ml.boost.ss_xgb_v 中的类) XgbModel(secretflow.ml.boost.ss_xgb_v.model 中的类) XgboostCriterion(secretflow.ml.boost.homo_boost.tree_core.criterion 中的类) XgbTreeWorker()(在 secretflow.ml.boost.ss_xgb_v.core.tree_worker 模块中) XgbTree(secretflow.ml.boost.ss_xgb_v.core.xgb_tree 中的类) Xgb(secretflow.ml.boost.ss_xgb_v 中的类) Xgb(secretflow.ml.boost.ss_xgb_v.model 中的类) Y y_pred_mean(secretflow.stats.regression_eval.RegressionEval 属性) y_pred_mean(secretflow.stats.RegressionEval 属性) y_pred(secretflow.stats.regression_eval.RegressionEval 属性) y_pred(secretflow.stats.RegressionEval 属性) y_true_mean(secretflow.stats.regression_eval.RegressionEval 属性) y_true_mean(secretflow.stats.RegressionEval 属性) y_true(secretflow.stats.regression_eval.RegressionEval 属性) y_true(secretflow.stats.RegressionEval 属性) Z zero_grad() (secretflow.ml.nn.sl.backend.tensorflow.sl_base.ModelPartition 方法) zeros()(在 secretflow.utils.ndarray_bigint 模块中) 模 模块 secretflow secretflow.data secretflow.data.base secretflow.data.horizontal secretflow.data.horizontal.dataframe secretflow.data.horizontal.io secretflow.data.horizontal.sampler secretflow.data.io secretflow.data.io.oss secretflow.data.io.util secretflow.data.math_utils secretflow.data.mix secretflow.data.mix.dataframe secretflow.data.ndarray secretflow.data.split secretflow.data.vertical secretflow.data.vertical.dataframe secretflow.data.vertical.io secretflow.device secretflow.device.device secretflow.device.device.base secretflow.device.device.heu secretflow.device.device.heu_object secretflow.device.device.pyu secretflow.device.device.register secretflow.device.device.spu secretflow.device.device.type_traits secretflow.device.driver secretflow.device.kernels secretflow.device.kernels.heu secretflow.device.kernels.pyu secretflow.device.kernels.spu secretflow.device.link secretflow.device.proxy secretflow.ml secretflow.ml.boost secretflow.ml.boost.homo_boost secretflow.ml.boost.homo_boost.boost_core secretflow.ml.boost.homo_boost.boost_core.callback secretflow.ml.boost.homo_boost.boost_core.core secretflow.ml.boost.homo_boost.boost_core.training secretflow.ml.boost.homo_boost.homo_booster secretflow.ml.boost.homo_boost.homo_booster_worker secretflow.ml.boost.homo_boost.homo_decision_tree secretflow.ml.boost.homo_boost.tree_core secretflow.ml.boost.homo_boost.tree_core.criterion secretflow.ml.boost.homo_boost.tree_core.decision_tree secretflow.ml.boost.homo_boost.tree_core.feature_histogram secretflow.ml.boost.homo_boost.tree_core.feature_importance secretflow.ml.boost.homo_boost.tree_core.loss_function secretflow.ml.boost.homo_boost.tree_core.node secretflow.ml.boost.homo_boost.tree_core.splitter secretflow.ml.boost.homo_boost.tree_param secretflow.ml.boost.ss_xgb_v secretflow.ml.boost.ss_xgb_v.core secretflow.ml.boost.ss_xgb_v.core.node_split secretflow.ml.boost.ss_xgb_v.core.tree_worker secretflow.ml.boost.ss_xgb_v.core.utils secretflow.ml.boost.ss_xgb_v.core.xgb_tree secretflow.ml.boost.ss_xgb_v.model secretflow.ml.linear secretflow.ml.linear.fl_lr_mix secretflow.ml.linear.fl_lr_v secretflow.ml.linear.hess_sgd secretflow.ml.linear.hess_sgd.model secretflow.ml.linear.linear_model secretflow.ml.linear.ss_sgd secretflow.ml.linear.ss_sgd.model secretflow.ml.nn secretflow.ml.nn.fl secretflow.ml.nn.fl.backend secretflow.ml.nn.fl.backend.tensorflow secretflow.ml.nn.fl.backend.tensorflow.fl_base secretflow.ml.nn.fl.backend.tensorflow.sampler secretflow.ml.nn.fl.backend.tensorflow.strategy secretflow.ml.nn.fl.backend.tensorflow.strategy.fed_avg_g secretflow.ml.nn.fl.backend.tensorflow.strategy.fed_avg_u secretflow.ml.nn.fl.backend.tensorflow.strategy.fed_avg_w secretflow.ml.nn.fl.backend.tensorflow.strategy.fed_prox secretflow.ml.nn.fl.backend.tensorflow.strategy.fed_scr secretflow.ml.nn.fl.backend.tensorflow.strategy.fed_stc secretflow.ml.nn.fl.backend.torch secretflow.ml.nn.fl.backend.torch.fl_base secretflow.ml.nn.fl.backend.torch.sampler secretflow.ml.nn.fl.backend.torch.strategy secretflow.ml.nn.fl.backend.torch.strategy.fed_avg_g secretflow.ml.nn.fl.backend.torch.strategy.fed_avg_u secretflow.ml.nn.fl.backend.torch.strategy.fed_avg_w secretflow.ml.nn.fl.backend.torch.strategy.fed_prox secretflow.ml.nn.fl.backend.torch.strategy.fed_scr secretflow.ml.nn.fl.backend.torch.strategy.fed_stc secretflow.ml.nn.fl.backend.torch.utils secretflow.ml.nn.fl.compress secretflow.ml.nn.fl.fl_model secretflow.ml.nn.fl.metrics secretflow.ml.nn.fl.sparse secretflow.ml.nn.fl.strategy_dispatcher secretflow.ml.nn.fl.utils secretflow.ml.nn.sl secretflow.ml.nn.sl.backend secretflow.ml.nn.sl.backend.tensorflow secretflow.ml.nn.sl.backend.tensorflow.sl_base secretflow.ml.nn.sl.backend.tensorflow.utils secretflow.ml.nn.sl.backend.torch secretflow.ml.nn.sl.sl_model secretflow.preprocessing secretflow.preprocessing.binning secretflow.preprocessing.binning.homo_binning secretflow.preprocessing.binning.homo_binning_base secretflow.preprocessing.binning.kernels secretflow.preprocessing.binning.kernels.base_binning secretflow.preprocessing.binning.kernels.quantile_binning secretflow.preprocessing.binning.kernels.quantile_summaries secretflow.preprocessing.binning.vert_woe_binning secretflow.preprocessing.binning.vert_woe_binning_pyu secretflow.preprocessing.binning.vert_woe_substitution secretflow.preprocessing.discretization secretflow.preprocessing.encoder secretflow.preprocessing.scaler secretflow.preprocessing.transformer secretflow.security secretflow.security.aggregation secretflow.security.aggregation.aggregator secretflow.security.aggregation.plain_aggregator secretflow.security.aggregation.secure_aggregator secretflow.security.aggregation.spu_aggregator secretflow.security.compare secretflow.security.compare.comparator secretflow.security.compare.device_comparator secretflow.security.compare.plain_comparator secretflow.security.compare.spu_comparator secretflow.security.diffie_hellman secretflow.security.privacy secretflow.security.privacy.accounting secretflow.security.privacy.accounting.gdp_accountant secretflow.security.privacy.accounting.log_utils secretflow.security.privacy.accounting.rdp_accountant secretflow.security.privacy.mechanism secretflow.security.privacy.mechanism.tensorflow secretflow.security.privacy.mechanism.tensorflow.layers secretflow.security.privacy.mechanism.tensorflow.mechanism_fl secretflow.security.privacy.strategy secretflow.security.privacy.strategy_fl secretflow.stats secretflow.stats.biclassification_eval secretflow.stats.core secretflow.stats.core.biclassification_eval_core secretflow.stats.core.psi_core secretflow.stats.core.pva_core secretflow.stats.core.utils secretflow.stats.psi_eval secretflow.stats.pva_eval secretflow.stats.regression_eval secretflow.stats.score_card secretflow.stats.ss_pearsonr_v secretflow.stats.ss_pvalue_v secretflow.stats.ss_vif_v secretflow.stats.table_statistics secretflow.utils secretflow.utils.compressor secretflow.utils.errors secretflow.utils.hash secretflow.utils.io secretflow.utils.ndarray_bigint secretflow.utils.ndarray_encoding secretflow.utils.sigmoid secretflow.utils.simulation secretflow.utils.simulation.data secretflow.utils.simulation.data.dataframe secretflow.utils.simulation.data.ndarray secretflow.utils.simulation.datasets secretflow.utils.simulation.tf_gnn_model secretflow.utils.testing