94b2195fb99ebcf83ad197087797adbdfb964af7,tpot/tpot.py,TPOT,_select_percentile,#TPOT#Any#Any#,690

Before Change

        training_features = input_df.loc[input_df["group"] == "training"].drop(["class", "group", "guess"], axis=1)
        training_class_vals = input_df.loc[input_df["group"] == "training", "class"].values

        if percentile < 0:
            percentile = 0
        elif percentile > 100:
            percentile = 100

        if len(training_features.columns.values) == 0:
            return input_df.copy()

        with warnings.catch_warnings():

After Change

        training_features = input_df.loc[input_df["group"] == "training"].drop(["class", "group", "guess"], axis=1)
        training_class_vals = input_df.loc[input_df["group"] == "training", "class"].values

        percentile = max(min(100, percentile), 0)

        if len(training_features.columns.values) == 0:
            return input_df.copy()

Instances