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dev-rinchin authored Aug 9, 2024
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![Read the Docs](https://img.shields.io/readthedocs/lightautoml)
### [Documentation](https://lightautoml.readthedocs.io/) | [Installation](#installation) | [Examples](#resources) | [Telegram chat](https://t.me/joinchat/sp8P7sdAqaU0YmRi) | [Telegram channel](https://t.me/lightautoml)

LightAutoML (LAMA) allows you to create machine learning models using just a few lines of code, or build your own custom pipeline using ready blocks. It supports tabular, time series, image and text data.
LightAutoML (LAMA) allows you create machine learning models using just a few lines of code, or build your own custom pipeline using ready blocks. It supports tabular, time series, image and text data.

**Authors**: [Alexander Ryzhkov](https://kaggle.com/alexryzhkov), [Anton Vakhrushev](https://kaggle.com/btbpanda), [Dmitry Simakov](https://kaggle.com/simakov), Rinchin Damdinov, Vasilii Bunakov, Alexander Kirilin, Pavel Shvets.
Authors: [Alexander Ryzhkov](https://kaggle.com/alexryzhkov), [Anton Vakhrushev](https://kaggle.com/btbpanda), [Dmitry Simakov](https://kaggle.com/simakov), Rinchin Damdinov, Vasilii Bunakov, Alexander Kirilin, Pavel Shvets.

<a name="quicktour"></a>
# Quick tour

There are two main ways to solve machine learning problems using LightAutoML:
* Ready to use preset
There are two ways to solve machine learning problems using LightAutoML:
* Ready-to-use preset:
```python
from lightautoml.automl.presets.tabular_presets import TabularAutoML
from lightautoml.tasks import Task
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test_preds = automl.predict(test_df).data
```

* As a framework</br>
* As a framework:</br>
LighAutoML framework has a lot of ready-to-use parts and extensive customization options, to learn more check out the [resources](#resources) section.

<a name="resources"></a>
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