evalml.objectives.ExpVariance.validate_inputs

ExpVariance.validate_inputs(y_true, y_predicted)

Validates the input based on a few simple checks.

Parameters

• y_predicted (ww.DataColumn, ww.DataTable, pd.Series, or pd.DataFrame) – Predicted values of length [n_samples]

• y_true (ww.DataColumn, pd.Series) – Actual class labels of length [n_samples]

Returns

None

evalml.objectives.ExpVariance.score evalml.objectives.RootMeanSquaredError