docs: def fit_predict(self, features, labels):
          """Convenience function that fits a pipeline then predicts on the
          provided features
  
          Parameters
          ----------
          features: array-like {n_samples, n_features}
              Feature matrix
          labels: array-like {n_samples}
              List of class labels for prediction
  
          Returns
          ----------
          array-like: {n_samples}
              Predicted labels for the provided features
  
          """
          self.fit(features, labels)
          return self.predict(features)