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. |
Inheritance
builtins.object > proto.message.Message > TrainingRunClasses
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)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.