semvec/pypi-packages huggingface dataset:
blocktorch 1.33.2
Blocktorch is a library that builds, optimizes, and evaluates machine learning pipelines

<p align="center">
<img width=50% src="https://jamesturrell.com/wp-content/uploads/2015/11/Stufe-White-1967_Sergio-Martucci1.jpg" alt="Blocktorch" />
</p>

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blocktorch is an AutoML library which builds, optimizes, and evaluates machine learning pipelines using domain-specific objective functions.

**Key Functionality**

* **Automation** - Makes machine learning easier. Avoid training and tuning models by hand. Includes data quality checks, cross-validation and more.
* **Data Checks** - Catches and warns of problems with your data and problem setup before modeling.
* **End-to-end** - Constructs and optimizes pipelines that include state-of-the-art preprocessing, feature engineering, feature selection, and a variety of modeling techniques.
* **Model Understanding** - Provides tools to understand and introspect on models, to learn how they'll behave in your problem domain.
* **Domain-specific** - Includes repository of domain-specific objective functions and an interface to define your own.

## Install [from PyPI](https://pypi.org/project/blocktorch/)
```shell
pip install blocktorch
```
### Add-ons

#### Update checker

Receive automatic notifications of new blocktorch releases
```shell
pip install blocktorch[update_checker]
```

## Start

#### Load and split example data 
```python
import blocktorch
X, y = blocktorch.demos.load_breast_cancer()
X_train, X_test, y_train, y_test = blocktorch.preprocessing.split_data(X, y, problem_type='binary')
```

#### Run AutoML
```python
from blocktorch.automl import AutoMLSearch
automl = AutoMLSearch(X_train=X_train, y_train=y_train, problem_type='binary')
automl.search()
```

#### View pipeline rankings
```python
automl.rankings
```

#### Get best pipeline and predict on new data
```python
pipeline = automl.best_pipeline
pipeline.predict(X_test)
```

## Next Steps

Read more about blocktorch on our [documentation page](https://blocktorch.ai/):

* [Installation](https://blocktorch.ai/en/stable/install.html) and [getting started](https://blocktorch.ai/en/stable/start.html).
* [Tutorials](https://blocktorch.ai/en/stable/tutorials.html) on how to use blocktorch.
* [User guide](https://blocktorch.ai/en/stable/user_guide.html) which describes blocktorch's features.
* Full [API reference](https://blocktorch.ai/en/stable/api_reference.html)

## Built by Blocktorch
<a href="https://www.blocktorch.ai">
    <img width=50% src="https://jamesturrell.com/wp-content/uploads/2015/11/Stufe-White-1967_Sergio-Martucci1.jpg" alt="Blocktorch" />
</a>