Class: Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PreferenceOptimizationDataStats
- Inherits:
-
Object
- Object
- Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PreferenceOptimizationDataStats
- Includes:
- Core::Hashable, Core::JsonObjectSupport
- Defined in:
- lib/google/apis/aiplatform_v1beta1/classes.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb
Overview
Statistics computed for datasets used for preference optimization.
Instance Attribute Summary collapse
-
#dropped_example_indices ⇒ Array<Fixnum>
Output only.
-
#dropped_example_reasons ⇒ Array<String>
Output only.
-
#score_variance_per_example_distribution ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1DatasetDistribution
Distribution computed over a tuning dataset.
-
#scores_distribution ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1DatasetDistribution
Distribution computed over a tuning dataset.
-
#total_billable_token_count ⇒ Fixnum
Output only.
-
#tuning_dataset_example_count ⇒ Fixnum
Output only.
-
#tuning_step_count ⇒ Fixnum
Output only.
-
#user_dataset_examples ⇒ Array<Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1GeminiPreferenceExample>
Output only.
-
#user_input_token_distribution ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1DatasetDistribution
Distribution computed over a tuning dataset.
-
#user_output_token_distribution ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1DatasetDistribution
Distribution computed over a tuning dataset.
Instance Method Summary collapse
-
#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1PreferenceOptimizationDataStats
constructor
A new instance of GoogleCloudAiplatformV1beta1PreferenceOptimizationDataStats.
-
#update!(**args) ⇒ Object
Update properties of this object.
Constructor Details
#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1PreferenceOptimizationDataStats
Returns a new instance of GoogleCloudAiplatformV1beta1PreferenceOptimizationDataStats.
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41551 def initialize(**args) update!(**args) end |
Instance Attribute Details
#dropped_example_indices ⇒ Array<Fixnum>
Output only. A partial sample of the indices (starting from 1) of the dropped
examples.
Corresponds to the JSON property droppedExampleIndices
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41503 def dropped_example_indices @dropped_example_indices end |
#dropped_example_reasons ⇒ Array<String>
Output only. For each index in dropped_example_indices, the user-facing
reason why the example was dropped.
Corresponds to the JSON property droppedExampleReasons
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41509 def dropped_example_reasons @dropped_example_reasons end |
#score_variance_per_example_distribution ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1DatasetDistribution
Distribution computed over a tuning dataset.
Corresponds to the JSON property scoreVariancePerExampleDistribution
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41514 def score_variance_per_example_distribution @score_variance_per_example_distribution end |
#scores_distribution ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1DatasetDistribution
Distribution computed over a tuning dataset.
Corresponds to the JSON property scoresDistribution
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41519 def scores_distribution @scores_distribution end |
#total_billable_token_count ⇒ Fixnum
Output only. Number of billable tokens in the tuning dataset.
Corresponds to the JSON property totalBillableTokenCount
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41524 def total_billable_token_count @total_billable_token_count end |
#tuning_dataset_example_count ⇒ Fixnum
Output only. Number of examples in the tuning dataset.
Corresponds to the JSON property tuningDatasetExampleCount
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41529 def tuning_dataset_example_count @tuning_dataset_example_count end |
#tuning_step_count ⇒ Fixnum
Output only. Number of tuning steps for this Tuning Job.
Corresponds to the JSON property tuningStepCount
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41534 def tuning_step_count @tuning_step_count end |
#user_dataset_examples ⇒ Array<Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1GeminiPreferenceExample>
Output only. Sample user examples in the training dataset.
Corresponds to the JSON property userDatasetExamples
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41539 def user_dataset_examples @user_dataset_examples end |
#user_input_token_distribution ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1DatasetDistribution
Distribution computed over a tuning dataset.
Corresponds to the JSON property userInputTokenDistribution
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41544 def user_input_token_distribution @user_input_token_distribution end |
#user_output_token_distribution ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1DatasetDistribution
Distribution computed over a tuning dataset.
Corresponds to the JSON property userOutputTokenDistribution
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41549 def user_output_token_distribution @user_output_token_distribution end |
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41556 def update!(**args) @dropped_example_indices = args[:dropped_example_indices] if args.key?(:dropped_example_indices) @dropped_example_reasons = args[:dropped_example_reasons] if args.key?(:dropped_example_reasons) @score_variance_per_example_distribution = args[:score_variance_per_example_distribution] if args.key?(:score_variance_per_example_distribution) @scores_distribution = args[:scores_distribution] if args.key?(:scores_distribution) @total_billable_token_count = args[:total_billable_token_count] if args.key?(:total_billable_token_count) @tuning_dataset_example_count = args[:tuning_dataset_example_count] if args.key?(:tuning_dataset_example_count) @tuning_step_count = args[:tuning_step_count] if args.key?(:tuning_step_count) @user_dataset_examples = args[:user_dataset_examples] if args.key?(:user_dataset_examples) @user_input_token_distribution = args[:user_input_token_distribution] if args.key?(:user_input_token_distribution) @user_output_token_distribution = args[:user_output_token_distribution] if args.key?(:user_output_token_distribution) end |