Method
Validates that the specified project has all required feature group types for its use case and that all required feature columns are set.
| REQUIRED |
KEY |
TYPE |
DESCRIPTION |
| Yes |
projectId |
str |
The unique ID associated with the project.
|
| No |
featureGroupIds |
List[str] |
The list of feature group IDs to validate.
|
Note: The arguments for the API methods follow camelCase but for Python SDK underscore_case is followed.
| KEY |
TYPE |
DESCRIPTION |
| success |
Boolean |
true if the call succeeded, false if there was an error |
| result |
ProjectValidation |
| KEY |
TYPE |
Description |
| valid |
bool |
`true` if the project is valid and ready to be trained, otherwise `false`. |
| datasetErrors |
List[dict] |
A list of errors keeping the dataset from being valid |
| columnHints |
dict |
Hints for what to set on the columns |
|
| TYPE |
WHEN |
| DataNotFoundError |
`projectId` is not found. |
| DataNotFoundError |
`featureGroupIds` is not found. |