Class PartnerModelTuningSpec (2.0.0)

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

Tuning spec for Partner models.

Attributes
Name	Description
training_dataset_uri	str Required. Cloud Storage path to file containing training dataset for tuning. The dataset must be formatted as a JSONL file.
validation_dataset_uri	str Optional. Cloud Storage path to file containing validation dataset for tuning. The dataset must be formatted as a JSONL file.
hyper_parameters	MutableMapping[str, google.protobuf.struct_pb2.Value] Hyperparameters for tuning. The accepted hyper_parameters and their valid range of values will differ depending on the base model.

Classes

HyperParametersEntry

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

The abstract base class for a message.

Parameters
Name	Description
kwargs	dict Keys and values corresponding to the fields of the message.
mapping	Union[dict, .Message] A dictionary or message to be used to determine the values for this message.
ignore_unknown_fields	Optional(bool) If True, do not raise errors for unknown fields. Only applied if mapping is a mapping type or there are keyword parameters.

Methods

PartnerModelTuningSpec

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

Tuning spec for Partner models.