default_runtime_conf.json

{
    "DataIOParam": {
        "input_format": "dense",
        "missing_fill": true,
        "outlier_replace": false,
        "with_label": true,
        "label_idx": 0,
        "label_type": "int",
        "output_format": "dense"
    },
    "WorkFlowParam": {
        "method": "cross_validation",
        "train_input_table": "train_data_table",
        "train_input_namespace": "train_data_namespace",
        "predict_input_table": null,
        "predict_input_namespace": null,
        "predict_result_partition": 2,
        "model_table": "example_model",
        "model_namespace": "example_namespace",
        "predict_output_table": "some_predict_output_table_name",
        "predict_output_namespace": "some_predict_output_path",
        "evaluation_output_table": "some_evaluate_output_table_name",
        "evaluation_output_namespace": "some_evaluate_output_path",
        "data_input_table": "train_data_table",
        "data_input_namespace": "train_data_namespace",
        "intersect_data_output_table": null,
        "intersect_data_output_namespace": null,
        "n_splits": 5
    },
    "EncryptParam": {
        "method": "paillier"
    },
    "InitParam": {
        "init_method": "random_normal"
    },
    "EvaluateParam":{
        "metrics": ["auc", "precision"],
        "classi_type": "binary",
        "pos_label": 1,
        "predict_threshold": [0.5]
    },
    "PredictParam": {
        "with_proba": true,
        "threshold": 0.5
    },
    "LogisticParam": {
        "penalty": "L2",
        "optimizer": "sgd",
        "eps": 1e-5,
        "alpha": 0.01,
        "max_iter": 100,
        "converge_func": "diff",
        "re_encrypt_batches": 2,
        "party_weight": 1,
        "batch_size": 320,
        "learning_rate": 0.01
    },
    "SampleParam": {
        "mode": "random",
        "method": "downsample",
        "fractions": 0.9
    },
    "ObjectiveParam": {   
        "objective": "cross_entropy",
        "params": [1.5]
    },
    "DecisionTreeParam": {
        "criterion_method": "xgboost",
        "criterion_params": [0.1],
        "max_depth": 5,
        "min_sample_split": 2,
        "min_leaf_node": 1,
        "min_impurity_split": 0.001,
        "max_split_nodes": 1024
    },
    "BoostingTreeParam": {
        "task_type": "classification",
        "learning_rate": 0.1,
        "num_trees": 2,
        "subsample_feature_rate": 1,
        "n_iter_no_change": false,
        "tol": 0.0001,
        "quantile_method": "bin_by_sample_data",
        "bin_num": 50,
        "bin_gap": 0.000001,
        "bin_sample_num": 150000
    },
    "IntersectParam": {
        "intersect_method": "rsa",
        "random_bit": 128,
        "is_send_intersect_ids": true,
        "is_get_intersect_ids": true
    },
    "FeatureBinningParam": {
        "method": "quantile",
        "compress_thres": 10000,
        "head_size": 10000,
        "error": 0.001,
        "adjustment_factor": 0.5,
        "bin_num": 10,
        "cols": -1,
        "local_only": false,
        "result_table": "TO SET",
        "result_namespace": "TO SET",
        "display_result": ["iv"]
    },

    "FeatureSelectionParam": {
        "method": "fit",
        "filter_method": ["unique_value", "iv_value_thres",
                "coefficient_of_variation_value_thres", "outlier_cols"],
        "select_cols": -1,
        "local_only": false,
        "result_table": "feature_selection_guest_model_table",
        "result_namespace": "feature_select_namespace"
    },
    "UniqueValueParam": {
        "eps": 1e-5
    },
    "IVSelectionParam": {
        "value_threshold": 0.1,
        "percentile_threshold": 1.0
    },
    "CoeffOfVarSelectionParam": {
        "value_threshold": 0.1,
        "percentile_threshold": 0.8
    },
    "OutlierColsSelectionParam": {
        "percentile": 0.9,
        "upper_threshold": 1000
    }
}