---
metadata:
  - name: generator
    content: Diplodoc Platform v5.52.0
alternate:
  - https://catboost.ai/docs/en/concepts/python-reference_catboostregressor_set_params.md
  - href: en/concepts/python-reference_catboostregressor_set_params.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

# set_params

<!-- source: en/_includes/work_src/reusage/set_params--purpose.md -->
Set the training parameters.
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## Method call format {#call-format}

```
set_params(** params)
```

## Parameters {#parameters}

### **params

#### Description

A list of parameters to start training with.

If omitted, default values are used.

If set, the passed list of parameters overrides the default values.

Format:
```
parameter_1=<value>, parameter_2=<value>, ..., parameter_N=<value>
```

An example of the method call:

```
model.set_params(iterations=500, thread_count=2, use_best_model=True)
```

<!-- source: en/_includes/work_src/reusage/see-training-params.md -->
See [Python package training parameters](https://catboost.ai/docs/en/references/training-parameters/index.md) for the full list of parameters.
<!-- endsource: en/_includes/work_src/reusage/see-training-params.md -->

**Possible types**

key=value format

**Default value**

Required parameter