Project Documentation
Bases: object
object
Class responsible for classifiers used in predictive model.
Method that returns classifier.
Return maximum number of iterations.
Return 1st estimator for scoring classifier.
Return 2nd estimator for scoring classifier.
Return 3rd estimator for scoring classifier.
Return 1st estimator for voting classifier.
Return 2nd estimator for voting classifier.
Return 3rd estimator for voting classifier.
Method that can set classifier.
Method that can set classifier as AdaBoostClassifier.
Method that can set classifier as BernoulliNB.
Method that can set classifier as ComplementNB.
Method that can set classifier as DecisionTreeClassifier.
Method that can set classifier as ExtraTreeClassifier.
Method that can set classifier as GradientBoostingClassifier.
Method that can set classifier as KNeighborsClassifier.
Method that can set classifier as LogisticRegression.
Method that can set classifier as LinearSVC.
Method that can set classifier as MultinomialNB.
Method that can set classifier as RidgeClassifier.
Method that can set classifier as RandomForestClassifier.
Method that can set classifier as SGDClassifier.
Method that can set classifier as StackingClassifier.
Method that can set classifier as SVC.
Method that can set classifier as VotingClassifier.
Set maximum number of iterations.
Set 1st estimator for scoring classifier.
Set 2nd estimator for scoring classifier.
Set 3rd estimator for scoring classifier.
Set 1st estimator for voting classifier.
Set 2nd estimator for voting classifier.
Set 3rd estimator for voting classifier.
Set voting option as ‘hard’ for classifier.
Set voting option as ‘soft’ for classifier.