AI开发平台ModelArts-梯度提升树分类:样例

时间：2023-11-01 16:20:21

AI开发平台ModelArts

样例

inputs = {    "dataframe": None  # @input {"label":"dataframe","type":"DataFrame"}}params = {    "inputs": inputs,    "b_output_action": True,    "b_use_default_encoder": True,    "input_features_str": "",  # @param {"label": "input_features_str", "type": "string", "required": "false", "helpTip": ""}    "outer_pipeline_stages": None,    "label_col": "",  # @param {"label": "label_col", "type": "string", "required": "true", "helpTip": "target label column"}    "classifier_label_index_col": "label_index",  # @param {"label": "classifier_label_index_col", "type": "string", "required": "true", "helpTip": ""}    "classifier_feature_vector_col": "model_features",  # @param {"label": "classifier_feature_vector_col", "type": "string", "required": "true", "helpTip": ""}    "prediction_index_col": "prediction_index",  # @param {"label": "prediction_index_col", "type": "string", "required": "true", "helpTip": ""}    "prediction_col": "prediction",  # @param {"label": "prediction_col", "type": "string", "required": "true", "helpTip": ""}    "max_depth": 5,  # @param {"label": "max_depth", "type": "integer", "required": "true", "range": "(0,2147483647]", "helpTip": ""}    "max_bins": 32,  # @param {"label": "max_bins", "type": "integer", "required": "true", "range": "(0,2147483647]", "helpTip": ""}    "min_instances_per_node": 1,  # @param {"label": "min_instances_per_node", "type": "integer", "required": "true", "range":"(0,2147483647]", "helpTip": ""}    "min_info_gain": 0.0,  # @param {"label": "min_info_gain", "type": "number", "required": "true", "range": "[0,none)", "helpTip": ""}    "loss_type": "logistic",    "max_iter": 20,  # @param {"label": "max_iter", "type": "integer", "required": "true", "range": "(0,2147483647]", "helpTip": ""}    "step_size": 0.1,  # @param {"label": "step_size", "type": "number", "required": "true", "range": "(0,none)", "helpTip": ""}    "subsampling_rate": 1.0  # @param {"label": "subsampling_rate", "type": "number", "required": "true", "range": "(0,1.0]", "helpTip": ""}}gbt_classifier____id___ = MLSGBTClassifier(**params)gbt_classifier____id___.run()# @output {"label":"pipeline_model","name":"gbt_classifier____id___.get_outputs()['output_port_1']","type":"PipelineModel"}

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