This resource allows you to manage specific Machine Learning configurations, which are also known as Machine Learning Models. Machine Learning is a self-tuning forecast method which is able to overcome limited history or sparsity, combine information from similar locations, and produce more accurate forecasts.
Operations
Create Machine Learning Model
POST /v2/forecasting/machine_learning_models
Create Machine Learning Models
POST /v2/forecasting/machine_learning_models/multi_create
Delete Machine Learning Model by ID
DELETE /v2/forecasting/machine_learning_models/{id}
Delete Machine Learning Model by Name
DELETE /v2/forecasting/machine_learning_models
Delete Machine Learning Models
POST /v2/forecasting/machine_learning_models/multi_delete
Retrieve All Machine Learning Models or by Name
GET /v2/forecasting/machine_learning_models
Retrieve Machine Learning Model by ID
GET /v2/forecasting/machine_learning_models/{id}
Retrieve Machine Learning Models
POST /v2/forecasting/machine_learning_models/multi_read
Update Machine Learning Model by ID
PUT /v2/forecasting/machine_learning_models/{id}
Update Machine Learning Models
POST /v2/forecasting/machine_learning_models/multi_update