'Call fit and predict in sequence.
Parameters
features: array-like {n_samples, n_features}
Feature matrix
target: array-like {n_samples}
List of class labels for prediction
Returns
array-like: {n_samples}
Predicted target for the provided features'

def fit_predict(self, features, target):

    self.fit(features, target)
    return self.predict(features)
