Obtaining a Built-in Algorithm¶
Sample Code¶
In ModelArts notebook, you do not need to enter authentication parameters for session authentication. For details about session authentication of other development environments, see Session Authentication.
from modelarts.session import Session
from modelarts.estimator import Estimator
session = Session()
algo_info = Estimator.get_built_in_algorithms(modelarts_session=session)
Parameter Description¶
Parameter | Mandatory | Type | Description |
|---|---|---|---|
modelarts_session | Yes | Object | Session object. For details about the initialization method, see Session Authentication. |
Parameter | Type | Description |
|---|---|---|
error_msg | String | Error message when the API call fails. This parameter is not included when the API call succeeds. |
error_code | String | Error code when the API fails to be called. For details, see Error Codes in ModelArts API Reference. This parameter is not included when the API call succeeds. |
model_total_count | Integer | Number of models |
models | JSON Array | Parameter list of a model |
is_success | Boolean | Whether the API call succeeds |
Parameter | Type | Description |
|---|---|---|
model_id | Integer | Model ID |
model_name | String | Model name |
model_usage | Integer | Model usage. The options are as follows:
|
model_precision | String | Model precision |
model_size | Long | Model size, in bytes |
model_train_dataset | String | Model training dataset |
model_dataset_format | String | Dataset format required by a model |
model_description_url | String | URL of the model description |
parameter | JSON Array | Running parameters of a model. It is a collection of label-value pairs. This parameter is a container environment variable when a job uses a custom image. For details, see the sample request. |
create_time | Long | Time when a model is created |
engine_id | Long | Engine ID of a model |
engine_name | String | Engine name of a model |
engine_version | String | Engine version of a model |