package com.webank.ai.fate.core.mlmodel.buffer

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• optional DecisionTreeModelMeta tree_meta = 1

• double learning_rate = 2

• int32 num_trees = 3

• optional QuantileMeta quantile_meta = 4

• optional ObjectiveMeta objective_meta = 5

• string task_type = 6

• bool n_iter_no_change = 7

• double tol = 8

• bool use_missing = 9

• bool zero_as_missing = 10

• int32 tree_num = 1

• repeated DecisionTreeModelParam trees_ = 2

• repeated double init_score = 3

• repeated double losses = 4

• int32 tree_dim = 5

• int32 num_classes = 6

• repeated string classes_ = 7

• repeated FeatureImportanceInfo feature_importances = 8

• map<int32, string> feature_name_fid_mapping = 9

Used in: OneHotParam

• repeated string values = 1

• repeated string transformed_headers = 2

Used in: ScaleParam

• double column_upper = 3

• double column_lower = 4

• double mean = 5

• double std = 6

Used in: DecisionTreeModelMeta

• string criterion_method = 1

• repeated double criterion_param = 2

• string input_format = 1

• string delimitor = 2

• string data_type = 3

• bool tag_with_value = 4

• string tag_value_delimitor = 5

• bool with_label = 6

• string label_name = 7

• string label_type = 8

• string output_format = 9

• optional ImputerMeta imputer_meta = 10

• optional OutlierMeta outlier_meta = 11

• bool need_run = 12

• map<string, string> exclusive_data_type = 13

• repeated string header = 1

• string sid_name = 2

• string label_name = 3

• optional ImputerParam imputer_param = 4

• optional OutlierParam outlier_param = 5

Used in: DataTransformMeta

• bool is_imputer = 1

• string strategy = 2

• repeated string missing_value = 3

Used in: DataTransformParam

• map<string, string> missing_replace_value = 1

• map<string, double> missing_value_ratio = 2

• string input_format = 1

• string delimitor = 2

• string data_type = 3

• bool tag_with_value = 4

• string tag_value_delimitor = 5

• bool with_label = 6

• string label_name = 7

• string label_type = 8

• string output_format = 9

• optional DataTransformImputerMeta imputer_meta = 10

• optional DataTransformOutlierMeta outlier_meta = 11

• bool need_run = 12

• map<string, string> exclusive_data_type = 13

Used in: DataTransformMeta

• bool is_outlier = 1

• string strategy = 2

• repeated string outlier_value = 3

Used in: DataTransformParam

• map<string, string> outlier_replace_value = 1

• map<string, double> outlier_value_ratio = 2

• repeated string header = 1

• string sid_name = 2

• string label_name = 3

• optional DataTransformImputerParam imputer_param = 4

• optional DataTransformOutlierParam outlier_param = 5

Used in: BoostingTreeModelMeta

• optional CriterionMeta criterion_meta = 1

• int32 max_depth = 2

• int32 min_sample_split = 3

• double min_impurity_split = 4

• int32 min_leaf_node = 5

• bool use_missing = 6

• bool zero_as_missing = 7

Used in: BoostingTreeModelParam

• repeated NodeParam tree_ = 1

• map<int32, double> split_maskdict = 2

• map<int32, int32> missing_dir_maskdict = 3

• string flag = 1

• bool need_run = 1

• string method = 10

• int64 compress_thres = 2

• int64 head_size = 3

• double error = 4

• int64 bin_num = 5

• repeated string cols = 6

• double adjustment_factor = 7

• bool local_only = 8

• optional TransformMeta transform_param = 9

• optional FeatureBinningResult binning_result = 1

• repeated FeatureBinningResult host_results = 2

• repeated string header = 3

Used in: FeatureBinningParam

• map<string, IVParam> binning_result = 1

• string role = 2

• string party_id = 3

Used in: BoostingTreeModelParam

• string sitename = 1

• int32 fid = 2

• double importance = 3

Used in: FeatureSelectionParam

• map<string, double> feature_values = 1

• repeated FeatureValue host_feature_values = 2

• optional LeftCols left_cols = 3

• repeated LeftCols host_left_cols = 4

• string filter_name = 5

• repeated string filter_methods = 1

• repeated string cols = 3

• optional UniqueValueMeta unique_meta = 4

• optional IVValueSelectionMeta iv_value_meta = 5

• optional IVPercentileSelectionMeta iv_percentile_meta = 6

• optional VarianceOfCoeSelectionMeta variance_coe_meta = 7

• optional OutlierColsSelectionMeta outlier_meta = 8

• optional ManuallyFilterMeta manually_meta = 9

• bool need_run = 10

• repeated FeatureSelectionFilterParam results = 1

• optional LeftCols final_left_cols = 2

• repeated string col_names = 3

• repeated HostColNames host_col_names = 4

• repeated string header = 5

Used in: FeatureSelectionFilterParam

• map<string, double> feature_values = 1

Used in: FeatureSelectionParam

• repeated string col_names = 1

Used in: FeatureBinningResult

• repeated double woe_array = 1

• repeated double iv_array = 2

• repeated int64 event_count_array = 3

• repeated int64 non_event_count_array = 4

• repeated double event_rate_array = 5

• repeated double non_event_rate_array = 6

• repeated double split_points = 7

  map<string, SplitPointList> split_points = 7;

• double iv = 8

• bool is_woe_monotonic = 9

• int64 bin_nums = 10

Used in: FeatureSelectionMeta

• double percentile_threshold = 1

• bool local_only = 2

Used in: FeatureSelectionMeta

• double value_threshold = 1

• bool local_only = 2

Used in: DataIOMeta

• bool is_imputer = 1

• string strategy = 2

• repeated string missing_value = 3

Used in: DataIOParam

• map<string, string> missing_replace_value = 1

• map<string, double> missing_value_ratio = 2

• string penalty = 1

• double tol = 2

• double alpha = 3

• string optimizer = 4

• double party_weight = 5

• int64 batch_size = 6

• double learning_rate = 7

• int64 max_iter = 8

• string early_stop = 9

• int64 re_encrypt_batches = 10

• bool fit_intercept = 11

• bool need_one_vs_rest = 12

• int32 iters = 1

• repeated double loss_history = 2

• bool is_converged = 3

• map<string, double> weight = 4

• double intercept = 5

• repeated string header = 6

• optional OneVsRestResult one_vs_rest_result = 7

• bool need_one_vs_rest = 8

Used in: FeatureSelectionFilterParam, FeatureSelectionParam

• repeated string original_cols = 1

• map<string, bool> left_cols = 2

Used in: FeatureSelectionMeta

• repeated string filter_out_names = 1

Used in: DecisionTreeModelParam

• int32 id = 1

• string sitename = 2

• int32 fid = 3

• double bid = 4

• double weight = 5

• bool is_leaf = 6

• int32 left_nodeid = 7

• int32 right_nodeid = 8

• int32 missing_dir = 9

Used in: BoostingTreeModelMeta

• string objective = 1

• repeated double param = 2

• repeated string transform_col_names = 1

• repeated string header = 2

• bool need_run = 3

• map<string, ColsMap> col_map = 1

• repeated string result_header = 2

Used in: LRModelParam

• repeated SingleModel completed_models = 1

• repeated string one_vs_rest_classes = 2

Used in: FeatureSelectionMeta

• double percentile = 1

• double upper_threshold = 2

Used in: DataIOMeta

• bool is_outlier = 1

• string strategy = 2

• repeated string outlier_value = 3

Used in: DataIOParam

• map<string, string> outlier_replace_value = 1

• map<string, double> outlier_value_ratio = 2

• bytes inference_dsl = 1

• bytes train_dsl = 2

• bytes train_runtime_conf = 3

Used in: BoostingTreeModelMeta

• string quantile_method = 1

• int32 bin_num = 2

• string method = 1

• string mode = 2

• string area = 3

• repeated string scale_column = 4

• repeated string feat_upper = 5

• repeated string feat_lower = 6

• bool with_mean = 7

• bool with_std = 8

• bool need_run = 9

• map<string, ColumnScaleParam> col_scale_param = 1

• repeated string header = 2

Used in: OneVsRestResult

• int32 iters = 1

• repeated double loss_history = 2

• bool is_converged = 3

• map<string, double> weight = 4

• double intercept = 5

• repeated string header = 6

Used in: FeatureBinningMeta

• repeated int64 transform_cols = 1

• string transform_type = 2

Used in: FeatureSelectionMeta

• double eps = 1

Used in: FeatureSelectionMeta

• double value_threshold = 1