h2o-py/h2o/model/regression.py
def plot(self, timestep="AUTO", metric="AUTO", **kwargs):
        """
        Plots training set (and validation set if available) scoring history for an H2ORegressionModel. The timestep
        and metric arguments are restricted to what is available in its scoring history.

        :param timestep: A unit of measurement for the x-axis.
        :param metric: A unit of measurement for the y-axis.
        :returns: A scoring history plot.
        """

        if self._model_json["algo"] in ("deeplearning", "deepwater", "xgboost", "drf", "gbm"):
            if metric == "AUTO":
                metric = "rmse"
            elif metric not in ("rmse", "deviance", "mae"):
                raise ValueError("metric for H2ORegressionModel must be one of: AUTO, rmse, deviance, or mae")

        self._plot(timestep=timestep, metric=metric, **kwargs)
def plot(self, timestep="AUTO", metric="AUTO", **kwargs):
        """
        Plots training set (and validation set if available) scoring history for an H2ORegressionModel. The timestep
        and metric arguments are restricted to what is available in its scoring history.

        :param timestep: A unit of measurement for the x-axis.
        :param metric: A unit of measurement for the y-axis.
        :returns: A scoring history plot.
        """

        if self._model_json["algo"] in ("deeplearning", "deepwater", "xgboost", "drf", "gbm"):
            if metric == "AUTO":
                metric = "rmse"
            elif metric not in ("rmse", "deviance", "mae"):
                raise ValueError("metric for H2ORegressionModel must be one of: AUTO, rmse, deviance, or mae")

        self._plot(timestep=timestep, metric=metric, **kwargs)
def plot ( self , timestep = "AUTO" , metric = "AUTO" , * * kwargs ) : if self . _model_json [ "algo" ] in ( "deeplearning" , "deepwater" , "xgboost" , "drf" , "gbm" ) : if metric == "AUTO" : metric = "rmse" elif metric not in ( "rmse" , "deviance" , "mae" ) : raise ValueError ( "metric for H2ORegressionModel must be one of: AUTO, rmse, deviance, or mae" ) self . _plot ( timestep = timestep , metric = metric , * * kwargs )
Plots training set (and validation set if available) scoring history for an H2ORegressionModel. The timestep
        and metric arguments are restricted to what is available in its scoring history.

        :param timestep: A unit of measurement for the x-axis.
        :param metric: A unit of measurement for the y-axis.
        :returns: A scoring history plot.
Plots training set ( and validation set if available ) scoring history for an H2ORegressionModel . The timestep and metric arguments are restricted to what is available in its scoring history .