标准化

概述

对数据集的某些数值列，根据均值和方差进行标准化。

输入

输出

数据集

参数说明

样例

inputs = {
    "dataframe": None  # @input {"label":"dataframe","type":"DataFrame"}
}
params = {
    "inputs": inputs,
    "b_output_action": True,
    "outer_pipeline_stages": None,
    "input_features_str": "",  # @param {"label":"input_features_str","type": "string","required":"false","helpTip": ""}
    "input_vector_column": "input_features",  # @param {"label":"input_vector_column","type":"string","required":"true","helpTip":""} 
    "output_vector_column": "standard_features",  # @param {"label":"output_vector_column","type":"string","required":"true","helpTip":""} 
    "with_std": True,  # @param {"label":"with_std","type":"boolean","required":"true","helpTip":""}
    "with_mean": False  # @param {"label":"with_mean","type":"boolean","required":"true","helpTip":""}
}
standard_scaler____id___ = MLSStandardScaler(**params)
standard_scaler____id___.run()
# @output {"label":"pipeline_model","name":"standard_scaler____id___.get_outputs()['output_port_1']","type":"PipelineModel"} 
# @output {"label":"dataframe","name":"standard_scaler____id___.get_outputs()['output_port_2']","type":"DataFrame"}