Optional
auto_If set to true
then the result of the training, if successful, will be uploaded to the repository as a
model.
Optional
customUser defined properties specified as key-value pairs.
Trained model id
Optional
prompt_Properties to control the prompt tuning.
The training results. Normally this is specified as type=container
which means that it is stored in the
space or project. Note that the training will add some fields that point to the training status, the model
request and the assets.
The model_request_path
is the request body that should be used when creating the trained model in the API, if
this model is to be deployed. If auto_update_model
was set to true
then this file is not needed.
Status of the training job.
Optional
training_Training datasets.
Status of the training job.