INNER CODE UNIT · Python

feature_importances

alteryx/open_source_demos · predict-daily-temperature/utils.py:46

def feature_importances(X, reg, feats=5):
    feature_imps = [(imp, X.columns[i])
                    for i, imp in enumerate(reg.feature_importances_)]
    feature_imps.sort()
    feature_imps.reverse()
    for i, f in enumerate(feature_imps[0:feats]):
        print('{}: {} [{:.3f}]'.format(i + 1, f[1], f[0]))
    print('-----\n')
    return [f[1] for f in feature_imps[:feats]]


def set_up_entityset(df, id_='es', time_index=None):
    es = ft.EntitySet(id=id_)
    es.add_dataframe(df,
                     dataframe_name='temperatures',
                     index='id',
                     make_index=True,
                     time_index=time_index)

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