def AdaBoost(Xcvfit, Ycvfit):
'''For the AdaBoost classifier, returns
a vector of scores from cross validation and an instance
of the classifier fit to the cross validation data'''
cer.catch_input_error(Xcvfit, Ycvfit)
clf = AdaBoostClassifier(n_estimators=100)
scores = cross_validation.cross_val_score(clf, Xcvfit, \
Ycvfit, cv=5, \
scoring='accuracy')
clf.fit(Xcvfit, Ycvfit)
return (scores, clf)
def QuadDiscAnal(Xcvfit, Ycvfit):
'''For the Quadratic Discriminant Analysis classifier, returns
a vector of scores from cross validation and an instance
of the classifier fit to the cross validation data'''
cer.catch_input_error(Xcvfit, Ycvfit)
clf = QuadraticDiscriminantAnalysis()
scores = cross_validation.cross_val_score(clf, Xcvfit, \
Ycvfit, cv=5, \
scoring='accuracy')
clf.fit(Xcvfit, Ycvfit)
return (scores, clf)
def DecisionTree(Xcvfit, Ycvfit):
'''For the Decision Tree classifier, returns
a vector of scores from cross validation and an instance
of the classifier fit to the cross validation data'''
cer.catch_input_error(Xcvfit, Ycvfit)
clf = tree.DecisionTreeClassifier()
scores = cross_validation.cross_val_score(clf, Xcvfit, \
Ycvfit, cv=5, \
scoring='accuracy')
clf.fit(Xcvfit, Ycvfit)
return (scores, clf)
def gaussNB(Xcvfit, Ycvfit):
'''For the Naive Gaussian Bayes classifier, returns
a vector of scores from cross validation and an instance
of the classifier fit to the cross validation data'''
cer.catch_input_error(Xcvfit, Ycvfit)
clf = GaussianNB()
scores = cross_validation.cross_val_score(clf, Xcvfit, \
Ycvfit, cv=5, \
scoring='accuracy')
clf.fit(Xcvfit, Ycvfit)
return (scores, clf)
def NearestNeighbors(Xcvfit, Ycvfit):
'''For the Nearest Neighbors classifier, returns
a vector of scores from cross validation and an instance
of the classifier fit to the cross validation data'''
cer.catch_input_error(Xcvfit, Ycvfit)
clf = KNeighborsClassifier(n_neighbors=3, algorithm='auto', \
weights = 'uniform')
scores = cross_validation.cross_val_score(clf, Xcvfit, \
Ycvfit, cv=5, \
scoring='accuracy')
clf.fit(Xcvfit, Ycvfit)
return (scores, clf)
