Class TrainingRun (2.8.0)

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

Information about a single training query run for the model.

Attributes

Name	Description
training_options	`.gcb_model.Model.TrainingRun.TrainingOptions` Options that were used for this training run, includes user specified and default options that were used.
start_time	`.timestamp.Timestamp` The start time of this training run.
results	Sequence[`.gcb_model.Model.TrainingRun.IterationResult`] Output of each iteration run, results.size() <= max_iterations.="">
evaluation_metrics	`.gcb_model.Model.EvaluationMetrics` The evaluation metrics over training/eval data that were computed at the end of training.
data_split_result	`.gcb_model.Model.DataSplitResult` Data split result of the training run. Only set when the input data is actually split.
global_explanations	Sequence[`.gcb_model.Model.GlobalExplanation`] 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)

__delattr__(key)

Delete the value on the given field.

This is generally equivalent to setting a falsy value.

__eq__(other)

Return True if the messages are equal, False otherwise.

__ne__(other)

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.