h2o-py/h2o/grid/metrics.py
def anomaly(self, test_data, per_feature=False):
        """
        Obtain the reconstruction error for the input test_data.

        :param H2OFrame test_data: The dataset upon which the reconstruction error is computed.
        :param bool per_feature: Whether to return the square reconstruction error per feature. Otherwise, return
            the mean square error.
        :returns: the reconstruction error.
        """
        return {model.model_id: model.anomaly(test_data, per_feature) for model in self.models}
def anomaly(self, test_data, per_feature=False):
        """
        Obtain the reconstruction error for the input test_data.

        :param H2OFrame test_data: The dataset upon which the reconstruction error is computed.
        :param bool per_feature: Whether to return the square reconstruction error per feature. Otherwise, return
            the mean square error.
        :returns: the reconstruction error.
        """
        return {model.model_id: model.anomaly(test_data, per_feature) for model in self.models}
Obtain the reconstruction error for the input test_data.

        :param H2OFrame test_data: The dataset upon which the reconstruction error is computed.
        :param bool per_feature: Whether to return the square reconstruction error per feature. Otherwise, return
            the mean square error.
        :returns: the reconstruction error.