Constructor Detail

Method Detail

• grader

   final GraderRunParams.Grader grader()

  The grader used for the fine-tuning job.

• modelSample

   final String modelSample()

  The model sample to be evaluated. This value will be used to populate the sample namespace. See the guide for more details. The output_json variable will be populated if the model sample is a valid JSON string.

• _item

   final JsonValue _item()

  The dataset item provided to the grader. This will be used to populate the item namespace. See the guide for more details.

  This arbitrary value can be deserialized into a custom type using the convert method:

  MyClass myObject = graderRunParams.item().convert(MyClass.class);

• _grader

   final JsonField<GraderRunParams.Grader> _grader()

  Returns the raw JSON value of grader.

  Unlike grader, this method doesn't throw if the JSON field has an unexpected type.

• _modelSample

   final JsonField<String> _modelSample()

  Returns the raw JSON value of modelSample.

  Unlike modelSample, this method doesn't throw if the JSON field has an unexpected type.

• _additionalBodyProperties

   final Map<String, JsonValue> _additionalBodyProperties()

• _additionalHeaders

   final Headers _additionalHeaders()

  Additional headers to send with the request.

• _additionalQueryParams

   final QueryParams _additionalQueryParams()

  Additional query param to send with the request.

• toBuilder

   final GraderRunParams.Builder toBuilder()

• _body

   final GraderRunParams.Body _body()

• _headers

   Headers _headers()

  The full set of headers in the parameters, including both fixed and additional headers.

• _queryParams

   QueryParams _queryParams()

  The full set of query params in the parameters, including both fixed and additional query params.

• equals

   Boolean equals(Object other)

• hashCode

   Integer hashCode()

• toString

   String toString()

• builder

   final static GraderRunParams.Builder builder()

  Returns a mutable builder for constructing an instance of GraderRunParams.

  The following fields are required:

  .grader()
  .modelSample()