pycore.py 文件源码

def ml_regression_build_prediction_test_window(self, req, num_units, rds, dbs):

        import pandas as pd

        ml_type                 = req["MLType"]
        target_column_name      = req["TargetColumnName"]   # What column is getting processed?
        target_column_values    = req["TargetColumnValues"] # Possible values each int in the target_column_name maps to
        train_feature_names     = req["TrainFeatures"]      # Pass in the features to train
        source_df               = req["SourceDF"]
        sample_filter_mask      = (source_df["DSName"] != "")

        new_df                  = source_df.iloc[-1 * int(num_units):]

        if "Date" in str(source_df.columns):
            new_df["Date"]      = pd.to_datetime(new_df["Date"], format='%Y-%m-%d')  # assuming the Date column is present
        if "FDate" in str(source_df.columns):
            new_df["FDate"]     = pd.to_datetime(new_df["FDate"], format='%Y-%m-%d') # assuming the Future Date column is present

        last_row    = new_df.iloc[-1]

        return new_df
    # end of ml_regression_build_prediction_test_window