REQUIRED |
KEY |
TYPE |
DESCRIPTION |
Yes |
projectId |
str |
The unique ID associated with the project.
|
Yes |
featureGroupId |
str |
The unique ID of the prediction data feature group.
|
Yes |
name |
str |
The name you want your model monitor to have. Defaults to " EDA".
|
No |
refreshSchedule |
str |
A cron-style string that describes a schedule in UTC to automatically retrain the created EDA.
|
No |
includeCollinearity |
bool |
Set to True if the EDA type is collinearity.
|
No |
includeDataConsistency |
bool |
Set to True if the EDA type is data consistency.
|
No |
collinearityKeys |
list |
List of features to use for collinearity
|
No |
primaryKeys |
list |
List of features that corresponds to the primary keys or item ids for the given feature group for Data Consistency analysis or Forecasting analysis respectively.
|
No |
dataConsistencyTestConfig |
dict |
Test feature group version selection strategy for Data Consistency EDA type.
|
No |
dataConsistencyReferenceConfig |
dict |
Reference feature group version selection strategy for Data Consistency EDA type.
|
No |
featureMappings |
dict |
A JSON map to override features for the given feature_group, where keys are column names and the values are feature data use types. (In forecasting, used to set the timestamp column and target value)
|
No |
forecastFrequency |
str |
The frequency of the data. It can be either HOURLY, DAILY, WEEKLY, MONTHLY, QUARTERLY, YEARLY.
|
Note: The arguments for the API methods follow camelCase but for Python SDK underscore_case is followed.