CODEWITHSUNDEEP
pythonpython-3.x
stella
stella

Reputation: 195

How to fix this NameError: name 'clf' is not defined?

#Feature Selection --> Random Forest
def feature_importance(clf):
    # Relative Importance (Features)
    clf.fit(X_train,y_train)
    # Get Feature Importance from the classifier
    feature_importance = clf.feature_importances_
    # Normalize The Features
    feature_importance = 100.0 * (feature_importance / feature_importance.max())
    # Sort Features and Creat Horizontal Bar Plot
    sorted_idx = np.argsort(feature_importance)
    pos = np.arange(sorted_idx.shape[0]) + .5
    pl.figure(figsize=(16, 12))
    pl.barh(pos, feature_importance[sorted_idx], align='center', color='#0033CC')
    pl.yticks(pos, np.asanyarray(df.columns.tolist())[sorted_idx])
    pl.xlabel("Relative Importance")
    pl.title("Variable Importance - Random Forest")
    pl.show()


clf_NB = GaussianNB()
clf_SVC = SVC()
clf_RF = RandomForestClassifier(n_estimators = 100)

algorithms = [clf_NB,clf_SVC,clf_RF]

for model in algorithms:
    print("\n")
    print("==============================")
    print("Model: {}".format(model.__class__.__name__))
    print("==============================")
    print("\n")
    print("**********************************************************")
    print("**Training**")
    print("Data Size:",len(X_train))
    # Fit model to training data
    train_classifier(model, X_train, y_train)

    # Predict on training set and compute F1 score
    predict_labels(model, X_train, y_train)

    #Predict on Testing Data
    print("**********************************************************")
    print("**Testing**")
    print("Data Size:",len(X_test))
    predict_labels(model, X_test, y_test)

    if clf == clf_RF:
        print("\n")
        feature_importance(clf_RF)

I believe that the 'clf' is declared in the above code. But I don't understand why I'm still getting this error: 

NameError                                 Traceback (most recent call last)
<ipython-input-30-bcd9b039b6a5> in <module>
     26     predict_labels(model, X_test, y_test)
     27 
---> 28     if clf == clf_RF:
     29         print("\n")
     30         feature_importance(clf_RF)

NameError: name 'clf' is not defined

Upvotes: 1

Views: 12583

Answers (2)

1030
1030

Reputation: 41

It looks like clf is declared in the arguments of the function feature_importance but where you are using it is out of scope.

Upvotes: 1

Hoppeduppeanut
Hoppeduppeanut

Reputation: 1158

clf is only defined within the scope of the feature_importance method. The value of clf isn't stored anywhere outside this method, so once you leave the method, it's as if clf never existed.

It appears as though you want to check if the value of model you're currently iterating over is clf_RF, going by your loop. If you change your if statement to check for model == clf_RF, the code should work as intended.

Upvotes: 3

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