Class TrainingRun (3.2.0)

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

Information about a single training query run for the model.


Options that were used for this training run, includes user specified and default options that were used.
start_time google.protobuf.timestamp_pb2.Timestamp
The start time of this training run.
results Sequence[]
Output of each iteration run, results.size() <= max_iterations.="">
The evaluation metrics over training/eval data that were computed at the end of training.
Data split result of the training run. Only set when the input data is actually split.
global_explanations Sequence[]
Global explanations for important features of the model. For multi-class models, there is one entry for each label class. For other models, there is only one entry in the list.


builtins.object > proto.message.Message > TrainingRun



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

Information about a single iteration of the training run.


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

Options used in model training.




Delete the value on the given field.

This is generally equivalent to setting a falsy value.



Return True if the messages are equal, False otherwise.



Return True if the messages are unequal, False otherwise.


__setattr__(key, value)

Set the value on the given field.

For well-known protocol buffer types which are marshalled, either the protocol buffer object or the Python equivalent is accepted.