Class RegressionMetrics (3.41.0)
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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_squared_error
google.protobuf.wrappers_pb2.DoubleValue
mean_squared_log_error
google.protobuf.wrappers_pb2.DoubleValue
median_absolute_error
google.protobuf.wrappers_pb2.DoubleValue
r_squared
google.protobuf.wrappers_pb2.DoubleValue
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Last updated 2026-05-07 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2026-05-07 UTC."],[],[]]
