docs: def fit_predict(self, features, classes):
          """Convenience function that fits the provided data then predicts the class labels
          Parameters
          ----------
          features: array-like {n_samples, n_features}
              Feature matrix
          classes: array-like {n_samples}
              List of true class labels
  
          Returns
          ----------
          array-like: {n_samples}
              Constructed features from the provided feature matrix
  
          """
          self.fit(features, classes)
          return self.predict(features)