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get top feature gridsearchcv

NotACoder answered on March 9, 2022 Popularity 2/10 Helpfulness 1/10

answer get top feature gridsearchcv

get top feature gridsearchcv

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#when using with pipeline and gridsearch
feature_names = model.best_estimator_.named_steps['vect'].get_feature_names()
coefs = model.best_estimator_.named_steps['model'].coef_.flatten()

# Zip coefficients and names together and make a DataFrame
zipped = zip(feature_names, coefs)
df_f = pd.DataFrame(zipped, columns=["feature", "value"])

#if plotting add color
# Sort the features by the absolute value of their coefficient
df_f["abs_value"] = df_f["value"].apply(lambda x: abs(x))
df_f["colors"] = df_f["value"].apply(lambda x: "green" if x > 0 else "red")
df_f = df_f.sort_values("abs_value", ascending=False)

Popularity 2/10 Helpfulness 1/10 Language python

Source: Grepper

Tags: get python

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Contributed on Mar 09 2022

NotACoder

0 Answers Avg Quality 2/10

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