models.py 文件源码

def define_model(self, model, parameters, n_cores = 0):
        clfs = {'RandomForestClassifier': RandomForestClassifier(n_estimators=50, n_jobs=7),
                'ExtraTreesClassifier': ExtraTreesClassifier(n_estimators=10, n_jobs=7, criterion='entropy'),
                'AdaBoostClassifier': AdaBoostClassifier(DecisionTreeClassifier(max_depth=1), algorithm="SAMME", n_estimators=200),
                'LogisticRegression': LogisticRegression(penalty='l1', C=1e5),
                'svm.SVC': svm.SVC(kernel='linear', probability=True, random_state=0),
                'GradientBoostingClassifier': GradientBoostingClassifier(learning_rate=0.05, subsample=0.5, max_depth=6, n_estimators=10),
                'GaussianNB': GaussianNB(),
                'DecisionTreeClassifier': DecisionTreeClassifier(),
                'SGDClassifier': SGDClassifier(loss="hinge", penalty="l2", n_jobs=7),
                'KNeighborsClassifier': KNeighborsClassifier(n_neighbors=3), 
                'linear.SVC': svm.LinearSVC() }

        if model not in clfs:
            raise ConfigError("Unsupported model {}".format(model))

        clf = clfs[model]
        clf.set_params(**parameters)
        return clf