semvec/pypi-packages huggingface dataset:
djulcac-django-accounts 0.0.1
Accounts manager for django
Requires Python: >=3.8

# DJANGO-ACCOUNTS

## Packaging

Based on this [documentation](https://packaging.python.org/en/latest/tutorials/packaging-projects/)


Generating distribution archives

    python3 -m pip install --upgrade build
    python3 -m build

Uploading the distribution archives

    python3 -m pip install --upgrade twine
    python3 -m twine upload dist/*
logistic-regression-model-trainer 0.1.0
A brief description of your package

# Logistic Regression Model Trainer

[![GitHub issues](https://img.shields.io/github/issues/your-username/your-repo)](https://github.com/your-username/your-repo/issues)
[![GitHub stars](https://img.shields.io/github/stars/your-username/your-repo)](https://github.com/your-username/your-repo/stargazers)
[![GitHub license](https://img.shields.io/github/license/your-username/your-repo)](https://github.com/your-username/your-repo/blob/master/LICENSE)

这是一个命令行工具，旨在简化逻辑回归模型的训练流程。它支持从命令行接收numpy数组格式的特征和标签数据，训练逻辑回归模型，并提供了生成PMML文件的功能，便于模型的跨平台部署。

## 特性

- **简单易用**：通过命令行界面快速训练模型。
- **灵活配置**：支持生成PMML模型文件，便于集成到其他系统。
- **高效模型**：基于Scikit-learn的逻辑回归实现，支持大规模数据集。

## 安装

确保已安装Python 3.8+，然后通过pip安装：
```bash
pip install logistic-regression-model-trainer
owl2else 0.9.5
Utilities to transform ontology OWL2 files to other formats
Requires Python: >=3.7

owl2else
=========

Scripts to transform ontology OWL 2 files to other languages
  
- owl2clips transforms OWL 2 ontologies to COOL CLIPS language
- owl2plot transforms OWL 2 ontologies to a plot using graphviz
- owl2rdflib transforms OWL 2 to a python file with a RDFlib 
  ClosedNamespace object with the vocabulary of the ontology