# CustomFeature

Base class for all custom feature types in Fiddler models.

CustomFeature provides the foundation for creating specialized feature types that enhance model monitoring and analysis. Custom features allow you to define derived metrics, embeddings, and enrichments that extend beyond basic model inputs and outputs for advanced drift detection and analysis.

This is an abstract base class that should not be instantiated directly. Instead, use one of its concrete subclasses: Multivariate, VectorFeature, TextEmbedding, ImageEmbedding, or Enrichment.

## Examples

Creating a multivariate feature from multiple columns:

```python
feature = CustomFeature.from_columns(
    custom_name="user_behavior_cluster",
    cols=["clicks", "views", "time_spent"],
    n_clusters=5
)
```

Creating a custom feature from a dictionary:

```python
feature_dict = {
    "name": "text_sentiment",
    "type": "FROM_TEXT_EMBEDDING",
    "column": "embedding_col",
    "source_column": "review_text"
}
feature = CustomFeature.from_dict(feature_dict)
```

## name *: str*

## type *: Any*

## *classmethod* from\_columns(custom\_name, cols, n\_clusters=5)

**Return type:** *Multivariate*

## *classmethod* from\_dict(deserialized\_json)

**Return type:** *Any*

## to\_dict()

**Return type:** *Dict*\[str, *Any*]


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.fiddler.ai/api/fiddler-python-client-sdk/schemas/custom-feature.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.