Class TrainingRun (3.0.1)

Version 3.0.1

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

Information about a single training query run for the model.

Attributes

Name	Description
training_options	google.cloud.bigquery_v2.types.Model.TrainingRun.TrainingOptions 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[google.cloud.bigquery_v2.types.Model.TrainingRun.IterationResult] Output of each iteration run, results.size() <= max_iterations.="">
evaluation_metrics	google.cloud.bigquery_v2.types.Model.EvaluationMetrics The evaluation metrics over training/eval data that were computed at the end of training.
data_split_result	google.cloud.bigquery_v2.types.Model.DataSplitResult Data split result of the training run. Only set when the input data is actually split.
global_explanations	Sequence[google.cloud.bigquery_v2.types.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.

Inheritance

builtins.object > proto.message.Message > TrainingRun

Classes

IterationResult

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

Information about a single iteration of the training run.

TrainingOptions

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

Options used in model training.

Methods

__delattr__

__delattr__(key)

Delete the value on the given field.

This is generally equivalent to setting a falsy value.

__eq__

__eq__(other)

Return True if the messages are equal, False otherwise.

__ne__

__ne__(other)

Return True if the messages are unequal, False otherwise.

__setattr__

__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.