Class RegressionMetrics (3.33.0)

RegressionMetrics(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Evaluation metrics for regression and explicit feedback type matrix factorization models.

Attributes

Name Description
mean_absolute_error google.protobuf.wrappers_pb2.DoubleValue
Mean absolute error.
mean_squared_error google.protobuf.wrappers_pb2.DoubleValue
Mean squared error.
mean_squared_log_error google.protobuf.wrappers_pb2.DoubleValue
Mean squared log error.
median_absolute_error google.protobuf.wrappers_pb2.DoubleValue
Median absolute error.
r_squared google.protobuf.wrappers_pb2.DoubleValue
R^2 score. This corresponds to r2_score in ML.EVALUATE.