semvec/pypi-packages huggingface dataset:
aliyunstoreplugin 1.0.0
Plugin that provides Aliyun oss Artifact Store functionality for MLflow

# Aliyun OSS store plugin for MLflow
This repository provides a MLflow plugin that allows users to use a aliyun oss as the artifact store for MLflow.

## Implementation overview
* `aliyunstoreplugin`: this package includes the `AliyunOssArtifactRepository` class that is used to read and write artifacts from Aliyun OSS storage.
* `setup.py` file defines entrypoints that tell MLflow to automatically associate the `oss` URIs with the `AliyunOssArtifactRepository` implementation when the `aliyunstoreplugin` library is installed. The entrypoints are configured as follows:

```
entry_points={
        "mlflow.artifact_repository": [
            "oss=aliyunstoreplugin.store.artifact.aliyun_oss_artifact_repo:AliyunOssArtifactRepository"
        ]
    },
```


# Usage
To store artifacts in Aliyun OSS Storage, specify a URI of the form ``oss://<bucket>/<path>``.
This plugin expects Aliyun Storage access credentials in the
``MLFLOW_OSS_ENDPOINT_URL``, ``MLFLOW_OSS_KEY_ID`` and ``MLFLOW_OSS_KEY_SECRET`` environment variables,
so you must set these variables on both your client
application and your MLflow tracking server. Finally, you must run ``pip install oss2``
separately (on both your client and the server) to access Aliyun OSS Storage
GEMA 0.4.2
A library to build and study Self-Organizing-Maps

# GEMA
GEMA is a Python library which can be used to develop and train Self-Organizing Maps (SOMs). It also allows users to classify new individuals, obtain reports and visualize the information with interactive graphs.
NOTE: GEMA has only been implemented in Python 3.0

### Installation
Gema is now available on pip and conda:
- Pip:
	`pip install GEMA`
- Conda (for now only for Windows x64):
	`conda install -c ceiecadmin gema`

## Usage instructions
For usage instructions refer to:
[Wiki](https://github.com/ufvceiec/GEMA/wiki)

### Requirements:
- NumPy
- tqdm
- Pandas
- matplotlib
- Plotly
- scikit-learn
- scipy
- numba
- imageio

## Contact
- Responsible: Alberto Nogales alberto.nogales@ceiec.es
- Supervisors: Alberto Nogales, Álvaro José García-Tejedor
- Main developers: Adrián Prieto, Gonzalo de las Heras de Matías, Antonio Pérez Morales(actual developer)
- Contributors: Santiago Donaher Naranjo

Under license of CEIEC http://www.ceiec.es
subutai-bazaar 0.0.6
Library for Subutai Bazaar REST API
Requires Python: >=3.6

# Subutai Bazaar

A Python library for the Bazaar REST API. Check out [Subutai](https://subutai.io) and [Bazaar](https://bazaar.subutai.io) websites for more information.

This library requires `requests` package, which can be installed with PyPi:

```
pip install requests
```