Class: Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SchemaTextPromptDatasetMetadata

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
lib/google/apis/aiplatform_v1/classes.rb,
lib/google/apis/aiplatform_v1/representations.rb,
lib/google/apis/aiplatform_v1/representations.rb

Overview

The metadata of Datasets that contain Text Prompt data.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1SchemaTextPromptDatasetMetadata

Returns a new instance of GoogleCloudAiplatformV1SchemaTextPromptDatasetMetadata.



38981
38982
38983
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 38981

def initialize(**args)
   update!(**args)
end

Instance Attribute Details

#candidate_count ⇒ Fixnum

Number of candidates. Corresponds to the JSON property candidateCount

Returns:

  • (Fixnum) 


38883
38884
38885
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 38883

def candidate_count
  @candidate_count
end

#gcs_uri ⇒ String

The Google Cloud Storage URI that stores the prompt data. Corresponds to the JSON property gcsUri

Returns:

  • (String) 


38888
38889
38890
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 38888

def gcs_uri
  @gcs_uri
end

#grounding_config ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SchemaPredictParamsGroundingConfig

The configuration for grounding checking. Corresponds to the JSON property groundingConfig

Returns:



38893
38894
38895
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 38893

def grounding_config
  @grounding_config
end

#has_prompt_variable ⇒ Boolean Also known as: has_prompt_variable?

Whether the prompt dataset has prompt variable. Corresponds to the JSON property hasPromptVariable

Returns:

  • (Boolean) 


38898
38899
38900
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 38898

def has_prompt_variable
  @has_prompt_variable
end

#logprobs ⇒ Boolean Also known as: logprobs?

Whether or not the user has enabled logit probabilities in the model parameters. Corresponds to the JSON property logprobs

Returns:

  • (Boolean) 


38905
38906
38907
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 38905

def logprobs
  @logprobs
end

#max_output_tokens ⇒ Fixnum

Value of the maximum number of tokens generated set when the dataset was saved. Corresponds to the JSON property maxOutputTokens

Returns:

  • (Fixnum) 


38911
38912
38913
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 38911

def max_output_tokens
  @max_output_tokens
end

#note ⇒ String

User-created prompt note. Note size limit is 2KB. Corresponds to the JSON property note

Returns:

  • (String) 


38916
38917
38918
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 38916

def note
  @note
end

#prompt_api_schema ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SchemaPromptApiSchema

The A2 schema of a prompt. Corresponds to the JSON property promptApiSchema

Returns:



38921
38922
38923
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 38921

def prompt_api_schema
  @prompt_api_schema
end

#prompt_type ⇒ String

Type of the prompt dataset. Corresponds to the JSON property promptType

Returns:

  • (String) 


38926
38927
38928
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 38926

def prompt_type
  @prompt_type
end

#seed_enabled ⇒ Boolean Also known as: seed_enabled?

Seeding enables model to return a deterministic response on a best effort basis. Determinism isn't guaranteed. This field determines whether or not seeding is enabled. Corresponds to the JSON property seedEnabled

Returns:

  • (Boolean) 


38933
38934
38935
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 38933

def seed_enabled
  @seed_enabled
end

#seed_value ⇒ Fixnum

The actual value of the seed. Corresponds to the JSON property seedValue

Returns:

  • (Fixnum) 


38939
38940
38941
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 38939

def seed_value
  @seed_value
end

#stop_sequences ⇒ Array<String>

Customized stop sequences. Corresponds to the JSON property stopSequences

Returns:

  • (Array<String>) 


38944
38945
38946
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 38944

def stop_sequences
  @stop_sequences
end

#system_instruction ⇒ String

The content of the prompt dataset system instruction. Corresponds to the JSON property systemInstruction

Returns:

  • (String) 


38949
38950
38951
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 38949

def system_instruction
  @system_instruction
end

#system_instruction_gcs_uri ⇒ String

The Google Cloud Storage URI that stores the system instruction, starting with gs://. Corresponds to the JSON property systemInstructionGcsUri

Returns:

  • (String) 


38955
38956
38957
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 38955

def system_instruction_gcs_uri
  @system_instruction_gcs_uri
end

#temperature ⇒ Float

Temperature value used for sampling set when the dataset was saved. This value is used to tune the degree of randomness. Corresponds to the JSON property temperature

Returns:

  • (Float) 


38961
38962
38963
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 38961

def temperature
  @temperature
end

#text ⇒ String

The content of the prompt dataset. Corresponds to the JSON property text

Returns:

  • (String) 


38966
38967
38968
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 38966

def text
  @text
end

#top_k ⇒ Fixnum

Top K value set when the dataset was saved. This value determines how many candidates with highest probability from the vocab would be selected for each decoding step. Corresponds to the JSON property topK

Returns:

  • (Fixnum) 


38973
38974
38975
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 38973

def top_k
  @top_k
end

#top_p ⇒ Float

Top P value set when the dataset was saved. Given topK tokens for decoding, top candidates will be selected until the sum of their probabilities is topP. Corresponds to the JSON property topP

Returns:

  • (Float) 


38979
38980
38981
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 38979

def top_p
  @top_p
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



38986
38987
38988
38989
38990
38991
38992
38993
38994
38995
38996
38997
38998
38999
39000
39001
39002
39003
39004
39005
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 38986

def update!(**args)
  @candidate_count = args[:candidate_count] if args.key?(:candidate_count)
  @gcs_uri = args[:gcs_uri] if args.key?(:gcs_uri)
  @grounding_config = args[:grounding_config] if args.key?(:grounding_config)
  @has_prompt_variable = args[:has_prompt_variable] if args.key?(:has_prompt_variable)
  @logprobs = args[:logprobs] if args.key?(:logprobs)
  @max_output_tokens = args[:max_output_tokens] if args.key?(:max_output_tokens)
  @note = args[:note] if args.key?(:note)
  @prompt_api_schema = args[:prompt_api_schema] if args.key?(:prompt_api_schema)
  @prompt_type = args[:prompt_type] if args.key?(:prompt_type)
  @seed_enabled = args[:seed_enabled] if args.key?(:seed_enabled)
  @seed_value = args[:seed_value] if args.key?(:seed_value)
  @stop_sequences = args[:stop_sequences] if args.key?(:stop_sequences)
  @system_instruction = args[:system_instruction] if args.key?(:system_instruction)
  @system_instruction_gcs_uri = args[:system_instruction_gcs_uri] if args.key?(:system_instruction_gcs_uri)
  @temperature = args[:temperature] if args.key?(:temperature)
  @text = args[:text] if args.key?(:text)
  @top_k = args[:top_k] if args.key?(:top_k)
  @top_p = args[:top_p] if args.key?(:top_p)
end