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Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::SupervisedTuningDataStats.
Tuning data statistics for Supervised Tuning.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#total_billable_character_count
def total_billable_character_count() -> ::Integer
Returns
- (::Integer) — Output only. Number of billable characters in the tuning dataset.
#total_billable_token_count
def total_billable_token_count() -> ::Integer
Returns
- (::Integer) — Output only. Number of billable tokens in the tuning dataset.
#total_truncated_example_count
def total_truncated_example_count() -> ::Integer
Returns
- (::Integer) — The number of examples in the dataset that have been truncated by any amount.
#total_truncated_example_count=
def total_truncated_example_count=(value) -> ::Integer
Parameter
- value (::Integer) — The number of examples in the dataset that have been truncated by any amount.
Returns
- (::Integer) — The number of examples in the dataset that have been truncated by any amount.
#total_tuning_character_count
def total_tuning_character_count() -> ::Integer
Returns
- (::Integer) — Output only. Number of tuning characters in the tuning dataset.
#truncated_example_indices
def truncated_example_indices() -> ::Array<::Integer>
Returns
- (::Array<::Integer>) — A partial sample of the indices (starting from 1) of the truncated examples.
#truncated_example_indices=
def truncated_example_indices=(value) -> ::Array<::Integer>
Parameter
- value (::Array<::Integer>) — A partial sample of the indices (starting from 1) of the truncated examples.
Returns
- (::Array<::Integer>) — A partial sample of the indices (starting from 1) of the truncated examples.
#tuning_dataset_example_count
def tuning_dataset_example_count() -> ::Integer
Returns
- (::Integer) — Output only. Number of examples in the tuning dataset.
#tuning_step_count
def tuning_step_count() -> ::Integer
Returns
- (::Integer) — Output only. Number of tuning steps for this Tuning Job.
#user_dataset_examples
def user_dataset_examples() -> ::Array<::Google::Cloud::AIPlatform::V1::Content>
Returns
- (::Array<::Google::Cloud::AIPlatform::V1::Content>) — Output only. Sample user messages in the training dataset uri.
#user_input_token_distribution
def user_input_token_distribution() -> ::Google::Cloud::AIPlatform::V1::SupervisedTuningDatasetDistribution
Returns
- (::Google::Cloud::AIPlatform::V1::SupervisedTuningDatasetDistribution) — Output only. Dataset distributions for the user input tokens.
#user_message_per_example_distribution
def user_message_per_example_distribution() -> ::Google::Cloud::AIPlatform::V1::SupervisedTuningDatasetDistribution
Returns
- (::Google::Cloud::AIPlatform::V1::SupervisedTuningDatasetDistribution) — Output only. Dataset distributions for the messages per example.
#user_output_token_distribution
def user_output_token_distribution() -> ::Google::Cloud::AIPlatform::V1::SupervisedTuningDatasetDistribution
Returns
- (::Google::Cloud::AIPlatform::V1::SupervisedTuningDatasetDistribution) — Output only. Dataset distributions for the user output tokens.