semvec/pypi-packages huggingface dataset:
auto-lm 0.1.0
Advanced Automated EDA Library for comprehensive data analysis
Requires Python: >=3.7
Keywords: eda exploratory-data-analysis data-science statistics machine-learning

# auto_lm - Advanced Automated EDA Library

[![PyPI version](https://badge.fury.io/py/auto_lm.svg)](https://badge.fury.io/py/auto_lm)
[![Python 3.7+](https://img.shields.io/badge/python-3.7+-blue.svg)](https://www.python.org/downloads/)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

**auto_lm** is a powerful Python library for automated Exploratory Data Analysis (EDA) that provides comprehensive statistical analysis with just a few lines of code.

## 🚀 Features

- **Comprehensive Analysis**: Univariate, Multivariate, Correlation, and Causation analysis
- **Statistical Tests**: Normality tests, ANOVA, Chi-square, and more
- **Automated Insights**: Detect outliers, multicollinearity, and data quality issues
- **Beautiful Output**: Results displayed in customized, easy-to-read tables
- **Google Colab Ready**: Works seamlessly in Google Colab environments
- **Target Analysis**: Special analysis for supervised learning scenarios

## 📦 Installation

```bash
pip install auto_lm
inferno-torch 0.0.8
Bayesian Deep Learning in PyTorch
Requires Python: >=3.10
Keywords: deep learning, variational inference, pytorch

<div align="center">
    <picture>
    <source srcset="docs/assets/logo/logo_text_black.svg" media="(prefers-color-scheme: light)"/>
    <source srcset="docs/assets/logo/logo_text_white.svg"  media="(prefers-color-scheme: dark)"/>
    <img align="center" src="docs/assets/logo/logo_text_black.svg" alt="Inferno" width="400" style="padding-right: 10px; padding left: 10px;"/>
    </picture>
    <h3>Blazingly-fast Bayesian Deep Learning in PyTorch</h3>
</div>

---

<h4 align="center">
  <a href="#installation">Installation</a> |  
  <a href="https://inferno-ml.github.io/inferno/">Documentation</a> | 
  <a href="https://inferno-ml.github.io/inferno/development_guidelines">Contributing</a>
</h4>



## Installation

You can install Inferno via: 
```bash
pip install inferno-torch
```

<!-- Alternatively, you can install the development version from source.
```bash
pip install git+https://github.com/inferno-ml/inferno.git
``` -->