有没有Eli5的替代品？

Question

(在python 2.7，3.7中尝试过)你能帮我吗？代码如下：

代码片段

feature_names = [c for c in train_df.columns if train_df[c].dtype in [np.int64]]

X = train_df[feature_names]

X = X.drop('state', axis = 1)

y = train_df['state']

X_train,X_test,y_train,y_test = train_test_split(X,y,random_state = 1)

my_model = RandomForestClassifier(n_estimators = 100,random_state = 1).fit(X_train,y_train)

perm = PermutationImportance(my_model, random_state = 1).fit(X_test,y_test)

**eli5.show_weights(perm, show_feature_values = X_test.columns.tolist())**#This prints nothing

Answer 1

Sci-kit learn最近添加了permutation importance。

这是另一种选择。

关于你的代码。试着分别打印出来看看。

你可以在你的代码末尾尝试一下：

##fit the permutation
perm = PermutationImportance(my_model, random_state = 1).fit(X_test,y_test)

##view importances
print(perm.feature_importances_)

## view with xvalues
for feat, imp in zip(X.columns,perm.feature_importances_):
    print("Feature: {}, Importance: {}".format(feat,imp))