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.



29670
29671
29672
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 29670

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

Instance Attribute Details

#candidate_count ⇒ Fixnum

Number of candidates. Corresponds to the JSON property candidateCount

Returns:

  • (Fixnum) 


29572
29573
29574
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 29572

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) 


29577
29578
29579
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 29577

def gcs_uri
  @gcs_uri
end

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

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

Returns:



29582
29583
29584
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 29582

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) 


29587
29588
29589
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 29587

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) 


29594
29595
29596
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 29594

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) 


29600
29601
29602
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 29600

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) 


29605
29606
29607
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 29605

def note
  @note
end

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

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

Returns:



29610
29611
29612
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 29610

def prompt_api_schema
  @prompt_api_schema
end

#prompt_type ⇒ String

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

Returns:

  • (String) 


29615
29616
29617
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 29615

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) 


29622
29623
29624
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 29622

def seed_enabled
  @seed_enabled
end

#seed_value ⇒ Fixnum

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

Returns:

  • (Fixnum) 


29628
29629
29630
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 29628

def seed_value
  @seed_value
end

#stop_sequences ⇒ Array<String>

Customized stop sequences. Corresponds to the JSON property stopSequences

Returns:

  • (Array<String>) 


29633
29634
29635
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 29633

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) 


29638
29639
29640
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 29638

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) 


29644
29645
29646
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 29644

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) 


29650
29651
29652
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 29650

def temperature
  @temperature
end

#text ⇒ String

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

Returns:

  • (String) 


29655
29656
29657
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 29655

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) 


29662
29663
29664
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 29662

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) 


29668
29669
29670
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 29668

def top_p
  @top_p
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



29675
29676
29677
29678
29679
29680
29681
29682
29683
29684
29685
29686
29687
29688
29689
29690
29691
29692
29693
29694
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 29675

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