create_ml_project
Create an AutoML pipeline automation project by specifying a project name, training data table URI, and target variable. Optionally set prediction type, target event level, and auto-run pipelines.
Instructions
Create a new AutoML pipeline automation project.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| project_name | Yes | Name for the project. | |
| data_table_uri | Yes | URI of the training data table (e.g. '/dataTables/dataSources/cas~fs~cas-shared-default~fs~Public/tables/HMEQ'). | |
| target_variable | Yes | Name of the target/response variable. | |
| description | No | Optional project description. | |
| prediction_type | No | 'binary', 'interval', or 'nominal' (default 'binary'). | binary |
| target_event_level | No | Target event level for binary/nominal classification (default '1'). | 1 |
| auto_run | No | Whether to automatically run pipelines after creation (default True). |
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||