Class: Telnyx::Models::AI::FineTuning::JobCreateParams

Inherits:

Internal::Type::BaseModel

• Object
• Internal::Type::BaseModel
• Telnyx::Models::AI::FineTuning::JobCreateParams

Extended by:

Internal::Type::RequestParameters::Converter

Includes:

Internal::Type::RequestParameters

Defined in:

lib/telnyx/models/ai/fine_tuning/job_create_params.rb,
sig/telnyx/models/ai/fine_tuning/job_create_params.rbs

Overview

See Also:

• Telnyx::Resources::AI::FineTuning::Jobs#create

Defined Under Namespace

Classes: Hyperparameters

Instance Attribute Summary

• #hyperparameters ⇒ Telnyx::Models::AI::FineTuning::JobCreateParams::Hyperparameters^?

  The hyperparameters used for the fine-tuning job.

• #model ⇒ String

  The base model that is being fine-tuned.

• #suffix ⇒ String^?

  Optional suffix to append to the fine tuned model's name.

• #training_file ⇒ String

  The storage bucket or object used for training.

Attributes included from Internal::Type::RequestParameters

#request_options

Instance Method Summary

• #initialize ⇒ Object constructor
• #to_hash ⇒ {

Methods included from Internal::Type::RequestParameters::Converter

dump_request

Methods included from Internal::Type::RequestParameters

included

Methods inherited from Internal::Type::BaseModel

==, #==, #[], coerce, #deconstruct_keys, #deep_to_h, dump, fields, hash, #hash, inherited, inspect, #inspect, known_fields, optional, recursively_to_h, required, #to_h, #to_json, #to_s, to_sorbet_type, #to_yaml

Methods included from Internal::Type::Converter

#coerce, coerce, #dump, dump, #inspect, inspect, meta_info, new_coerce_state, type_info

Methods included from Internal::Util::SorbetRuntimeSupport

#const_missing, #define_sorbet_constant!, #sorbet_constant_defined?, #to_sorbet_type, to_sorbet_type

Constructor Details

#initialize ⇒ Object

# File 'sig/telnyx/models/ai/fine_tuning/job_create_params.rbs', line 32

def initialize: (

Instance Attribute Details

#hyperparameters ⇒ Telnyx::Models::AI::FineTuning::JobCreateParams::Hyperparameters^?

The hyperparameters used for the fine-tuning job.

Returns:

• (Telnyx::Models::AI::FineTuning::JobCreateParams::Hyperparameters, nil)

# File 'lib/telnyx/models/ai/fine_tuning/job_create_params.rb', line 28

optional :hyperparameters, -> { Telnyx::AI::FineTuning::JobCreateParams::Hyperparameters }

#model ⇒ String

The base model that is being fine-tuned.

Parameters:

• value (String)

Returns:

• (String)

# File 'lib/telnyx/models/ai/fine_tuning/job_create_params.rb', line 16

required :model, String

#suffix ⇒ String^?

Optional suffix to append to the fine tuned model's name.

Parameters:

• (String)

Returns:

• (String, nil)

# File 'lib/telnyx/models/ai/fine_tuning/job_create_params.rb', line 34

optional :suffix, String

#training_file ⇒ String

The storage bucket or object used for training.

Parameters:

• value (String)

Returns:

• (String)

# File 'lib/telnyx/models/ai/fine_tuning/job_create_params.rb', line 22

required :training_file, String

Instance Method Details

#to_hash ⇒ {

Returns:

• ({)

# File 'sig/telnyx/models/ai/fine_tuning/job_create_params.rbs', line 40

def to_hash: -> {