semvec/pypi-packages huggingface dataset:
azuremlutils 0.2.1
azuremlutils is a Python package providing high-level APIs for Azure Machine Learning. It simplifies setup of Azure ML infrastructures, manages datasets, and streamlines authentication. Designed for AI researchers, data scientists, and ML engineers, it boosts productivity and accelerates Azure ML projects.
License: MIT
Requires Python: >=3.10,<4.0

# azuremlutils
azuremlutils is a Python utility package aimed at simplifying and streamlining workflows on Azure Machine Learning 
(Azure ML). It provides a set of high-level APIs that make it easy to set up Azure ML infrastructure such as clusters 
and environments, authenticate with Azure ML, and manage datasets. This package is designed with a focus on 
user-friendliness and efficiency, allowing users to achieve complex Azure ML tasks with minimal code. Whether you are 
an AI researcher, a data scientist, or a machine learning engineer, azuremlutils can help you seamlessly leverage the 
power of Azure ML and accelerate your machine learning projects.

## Installation

You can install the `azuremlutils` package via pip:

```shell
pip install azuremlutils
```

Or via poetry:

```shell
poetry add azuremlutils
```

## Usage
Here is a simple example of how to use azuremlutils:

```python
from azuremlutils import setup_infrastructure

# Your original directory and configuration
original_dir = <Your Original Directory>
cfg = <Your Hydra Configuration>

# Setting up the infrastructure
azure_credential, data, compute, env = setup_infrastructure(cfg, original_dir)
```

Please note that you need to provide your own directory and configuration parameters.

# Contributing

We appreciate all contributions. If you're planning to contribute back bug-fixes, please create an issue describing the 
bug. If you plan to contribute new features, utility functions, or extensions, please first open an issue and discuss 
the feature with us.

# License

This project is licensed under the MIT License - see the LICENSE.md file for details.


Please modify the contents to better match your project requirements and details. For instance, you might want to add 
more usage examples, a section about the project's dependencies, instructions for how to run tests, etc.


# Versioning
The versioning system that you mentioned, 0.0.0.0, is known as semantic versioning (SemVer). It's a versioning scheme 
for software that aims to convey meaning about the underlying changes in a release.

In general, SemVer's structure is MAJOR.MINOR.PATCH, where:

* MAJOR version increments indicate incompatible API changes. This means a user may need to make changes to their 
code to use the new version.
* MINOR version increments indicate the addition of functionality in a backwards-compatible manner. This means new 
features were added but existing functionality has not been removed or altered in a way that would break existing 
usage.
* PATCH version increments indicate backwards-compatible bug fixes. This means that issues or bugs within the software 
have been fixed and it should be even more reliable without any changes to the existing API or functionality.