KerinPithawala / ML_Classification

Unexpected spaces around keyword / parameter equals FLK-E251
Style
Minor
2 years ago2 years old
unexpected spaces around keyword / parameter equals
60
61classifier = get_classifier(classifier_name,d)
62
63x_train,x_test,y_train,y_test = train_test_split(x,y,test_size = 0.2, random_state=1234)64classifier.fit(x_train,y_train)
65y_pred = classifier.predict(x_test)
66acc = accuracy_score(y_test,y_pred)
unexpected spaces around keyword / parameter equals
60
61classifier = get_classifier(classifier_name,d)
62
63x_train,x_test,y_train,y_test = train_test_split(x,y,test_size = 0.2, random_state=1234)64classifier.fit(x_train,y_train)
65y_pred = classifier.predict(x_test)
66acc = accuracy_score(y_test,y_pred)
unexpected spaces around keyword / parameter equals
55    if classifier_name == "SVM":
56        classifier = SVC(C = d['C'])
57    if classifier_name == "Random Forest":
58        classifier = RandomForestClassifier(n_estimators=d["Number of Estimators"], max_depth=d["Max Depth"], random_state = 1234)59    return classifier
60
61classifier = get_classifier(classifier_name,d)
unexpected spaces around keyword / parameter equals
55    if classifier_name == "SVM":
56        classifier = SVC(C = d['C'])
57    if classifier_name == "Random Forest":
58        classifier = RandomForestClassifier(n_estimators=d["Number of Estimators"], max_depth=d["Max Depth"], random_state = 1234)59    return classifier
60
61classifier = get_classifier(classifier_name,d)
unexpected spaces around keyword / parameter equals
53    if classifier_name == 'KNN':
54        classifier = KNeighborsClassifier(n_neighbors = d['K'])
55    if classifier_name == "SVM":
56        classifier = SVC(C = d['C'])57    if classifier_name == "Random Forest":
58        classifier = RandomForestClassifier(n_estimators=d["Number of Estimators"], max_depth=d["Max Depth"], random_state = 1234)
59    return classifier