This Fiddler object is used to define custom features based on the columns of a dataset. Custom features are mainly used for monitoring multi-dimensional vectors in NLP and CV use cases. This object holds information about which data columns constitute a custom feature, and information that specifies the settings for monitoring this custom feature.
| Attribute | Type | Default | Description |
|---|---|---|---|
| name | str | None | The name of the custom feature |
| columns | [srt] | None | A list of column name in the dataset which define this custom feature. |
| type | None | ||
| transformation | str | None | |
| n_clusters | int | 10 | |
| monitor | bool | True |
In order to initiate a custom feature whose elements are stored across columns of the baseline DataFrame, use the fdl.CustomFeature.from_columns() constructor function.