Source code for h2o.model.metrics.dim_reduction

from h2o.model import MetricsBase


[docs]class H2ODimReductionModelMetrics(MetricsBase): def _str_items_custom(self): return [ "Sum of Squared Error (Numeric): {}".format(self.num_err()), "Misclassification Error (Categorical): {}".format(self.cat_err()), ]
[docs] def num_err(self): """Sum of Squared Error over non-missing numeric entries, or None if not present.""" if MetricsBase._has(self._metric_json, "numerr"): return self._metric_json["numerr"] return None
[docs] def cat_err(self): """The Number of Misclassified categories over non-missing categorical entries, or None if not present.""" if MetricsBase._has(self._metric_json, "caterr"): return self._metric_json["caterr"] return None