---
metadata:
  - name: generator
    content: Diplodoc Platform v5.54.5
alternate:
  - https://catboost.ai/docs/en/features/proceed-training.md
  - href: en/features/proceed-training.md
    type: text/markdown
    title: Markdown version
  - href: ../llms.txt
    type: text/markdown
    title: llms.txt
---
> **Documentation Index:** Fetch the complete configuration index at https://catboost.ai/docs/en/llms.txt

# Pre-trained data

Initial formula values can be set for all input objects in the Python package. The training starts from these values for all input objects instead of starting from zero.

This option is set in the starting parameters.

## Сlasses

### [Pool](https://catboost.ai/docs/en/concepts/python-reference_pool.md)

**Method**
 –

**Parameters**

`baseline`

**Description**

<!-- source: en/_includes/work_src/reusage/baseline--short-desc1.md -->
Array of formula values for all input objects. The training starts from these values for all input objects instead of starting from zero.
<!-- endsource: en/_includes/work_src/reusage/baseline--short-desc1.md -->

### [CatBoost](https://catboost.ai/docs/en/concepts/python-reference_catboost.md)

**Method**

 [fit](https://catboost.ai/docs/en/concepts/python-reference_catboost_fit.md)

### [CatBoostClassifier](https://catboost.ai/docs/en/concepts/python-reference_catboostclassifier.md)

**Method**

 [fit](https://catboost.ai/docs/en/concepts/python-reference_catboostclassifier_fit.md)

### [CatBoostRegressor](https://catboost.ai/docs/en/concepts/python-reference_catboostregressor.md)

**Method**

[fit](https://catboost.ai/docs/en/concepts/python-reference_catboostregressor_fit.md)

Refer to [the example](https://catboost.ai/docs/en/concepts/python-usages-examples.md) for more details.