h2o-py/h2o/transforms/preprocessing.py
def transform(self, X, y=None, **params):
        """
        Scale an H2OFrame with the fitted means and standard deviations.

        :param X: An H2OFrame; may contain NAs and/or categoricals.
        :param y: None (Ignored)
        :param params: (Ignored)
        :returns: A scaled H2OFrame.
        """
        return X.scale(self.means, self.stds)
def transform(self, X, y=None, **params):
        return X.scale(self.means, self.stds)
def transform ( self , X , y = None , * * params ) : return X . scale ( self . means , self . stds )
Scale an H2OFrame with the fitted means and standard deviations.

        :param X: An H2OFrame; may contain NAs and/or categoricals.
        :param y: None (Ignored)
        :param params: (Ignored)
        :returns: A scaled H2OFrame.
Scale an H2OFrame with the fitted means and standard deviations .