Metadata-Version: 2.1
Name: hi-ml
Version: 0.1.12
Summary: Microsoft Health Intelligence package containing high level ML components
Home-page: https://github.com/microsoft/hi-ml
Author: Microsoft Research Cambridge InnerEye Team 
Author-email: innereyedev@microsoft.com
License: MIT License
Keywords: InnerEye,HealthIntelligence,AzureML
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
Requires-Dist: hi-ml-azure (>=0.1.8)
Requires-Dist: jinja2 (==3.0.2)
Requires-Dist: matplotlib (==3.4.3)
Requires-Dist: pandas (==1.3.4)
Requires-Dist: pytorch-lightning (>=1.4.9)
Requires-Dist: torch (>=1.8)

# Microsoft Health Intelligence Machine Learning Toolbox

## Overview

This toolbox aims at providing low-level and high-level building blocks for Machine Learning / AI researchers and
practitioners. It helps to simplify and streamline work on deep learning models for healthcare and life sciences,
by providing tested components (data loaders, pre-processing), and deep learning models.

## Installation

You can install the latest version from `pypi` via 

```
pip install hi-ml
```

## Documentation

The detailed package documentation, with examples and API reference, is on 
[readthedocs](https://hi-ml.readthedocs.io/en/latest/).

## Getting started

Examples that illustrate the use of the `hi-ml` toolbox can be found on 
[readthedocs](https://hi-ml.readthedocs.io/en/latest/).

## Changelog

A changelog is [maintained on Github](https://github.com/microsoft/hi-ml/blob/main/CHANGELOG.md)

## Links

* Github [https://github.com/microsoft/hi-ml](https://github.com/microsoft/hi-ml)
* Project InnerEye [http://aka.ms/InnerEye](http://aka.ms/InnerEye)


