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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.
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[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2026-05-07 UTC."],[],[]]
