h2o-py/h2o/grid/metrics.py
def find_idx_by_threshold(self, threshold, train=False, valid=False, xval=False):
        """
        Retrieve the index in this metric's threshold list at which the given threshold is located.

        If all are False (default), then return the training metric value.
        If more than one options is set to True, then return a dictionary of metrics where the keys are "train",
        "valid", and "xval".

        :param float threshold: The threshold value to search for.
        :param bool train: If train is True, then return the idx_by_threshold for the training data.
        :param bool valid: If valid is True, then return the idx_by_threshold for the validation data.
        :param bool xval:  If xval is True, then return the idx_by_threshold for the cross validation data.
        :returns: The idx_by_threshold for this binomial model.
        """
        return {model.model_id: model.find_idx_by_threshold(threshold, train, valid, xval) for model in self.models}
def find_idx_by_threshold(self, threshold, train=False, valid=False, xval=False):
        """
        Retrieve the index in this metric's threshold list at which the given threshold is located.

        If all are False (default), then return the training metric value.
        If more than one options is set to True, then return a dictionary of metrics where the keys are "train",
        "valid", and "xval".

        :param float threshold: The threshold value to search for.
        :param bool train: If train is True, then return the idx_by_threshold for the training data.
        :param bool valid: If valid is True, then return the idx_by_threshold for the validation data.
        :param bool xval:  If xval is True, then return the idx_by_threshold for the cross validation data.
        :returns: The idx_by_threshold for this binomial model.
        """
        return {model.model_id: model.find_idx_by_threshold(threshold, train, valid, xval) for model in self.models}
Retrieve the index in this metric's threshold list at which the given threshold is located.

        If all are False (default), then return the training metric value.
        If more than one options is set to True, then return a dictionary of metrics where the keys are "train",
        "valid", and "xval".

        :param float threshold: The threshold value to search for.
        :param bool train: If train is True, then return the idx_by_threshold for the training data.
        :param bool valid: If valid is True, then return the idx_by_threshold for the validation data.
        :param bool xval:  If xval is True, then return the idx_by_threshold for the cross validation data.
        :returns: The idx_by_threshold for this binomial model.