Skip to content

Latest commit

 

History

History
90 lines (61 loc) · 3.64 KB

RiskAnalyticsMlClassificationApi.md

File metadata and controls

90 lines (61 loc) · 3.64 KB

ibm_gdsc_sdk_saas.RiskAnalyticsMlClassificationApi

All URIs are relative to http://localhost

Method HTTP request Description
risk_analytics_ml_classification_reset_model_to_defaults POST /api/v3/classification/ml/models/reset Summary: Reset the model to its default weights. Description: Load the initial model instead of the existing model - this action is irreversible.

risk_analytics_ml_classification_reset_model_to_defaults

Riskanalyticsmlclassificationv3ResetModelToDefaultsResponse risk_analytics_ml_classification_reset_model_to_defaults()

Summary: Reset the model to its default weights. Description: Load the initial model instead of the existing model - this action is irreversible.

Example

  • Basic Authentication (BasicAuth):
  • Api Key Authentication (ApiKeyAuth):
import ibm_gdsc_sdk_saas,os
from ibm_gdsc_sdk_saas.models.riskanalyticsmlclassificationv3_reset_model_to_defaults_response import Riskanalyticsmlclassificationv3ResetModelToDefaultsResponse
from ibm_gdsc_sdk_saas.rest import ApiException
from pprint import pprint

# Defining the host is optional and defaults to http://localhost
# See configuration.py for a list of all supported configuration parameters.
configuration = ibm_gdsc_sdk_saas.Configuration(
    host = "http://localhost"
)

# The client must configure the authentication and authorization parameters
# in accordance with the API server security policy.
# Examples for each auth method are provided below, use the example that
# satisfies your auth use case.

# Configure HTTP basic authorization: BasicAuth
configuration = ibm_gdsc_sdk_saas.Configuration(
    username = os.environ["USERNAME"],
    password = os.environ["PASSWORD"]
)

# Configure API key authorization: ApiKeyAuth
configuration.api_key['ApiKeyAuth'] = os.environ["API_KEY"]

# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['ApiKeyAuth'] = 'Bearer'

# Enter a context with an instance of the API client
with ibm_gdsc_sdk_saas.ApiClient(configuration) as api_client:
    # Create an instance of the API class
    api_instance = ibm_gdsc_sdk_saas.RiskAnalyticsMlClassificationApi(api_client)

    try:
        # Summary: Reset the model to its default weights. Description: Load the initial model instead of the existing model - this action is irreversible.
        api_response = api_instance.risk_analytics_ml_classification_reset_model_to_defaults()
        print("The response of RiskAnalyticsMlClassificationApi->risk_analytics_ml_classification_reset_model_to_defaults:\n")
        pprint(api_response)
    except Exception as e:
        print("Exception when calling RiskAnalyticsMlClassificationApi->risk_analytics_ml_classification_reset_model_to_defaults: %s\n" % e)

Parameters

This endpoint does not need any parameter.

Return type

Riskanalyticsmlclassificationv3ResetModelToDefaultsResponse

Authorization

BasicAuth, ApiKeyAuth

HTTP request headers

  • Content-Type: Not defined
  • Accept: application/json

HTTP response details

Status code Description Response headers
200 A successful response. -
0 An unexpected error response. -

[Back to top] [Back to API list] [Back to Model list] [Back to README]