Metadata-Version: 2.1
Name: linora
Version: 0.1.0
Summary: Easy automatic hyperparameter optimization algorithms and libraries for XGBoost and LightGBM.
Home-page: https://github.com/Hourout/linora
Author: JinQing Lee, Gaojie Wei
Author-email: hourout@163.com
License: MIT
Keywords: hyperparameter-optimization,XGBoost,LightGBM
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Description-Content-Type: text/markdown
Requires-Dist: pandas (>=0.20.3)
Requires-Dist: scikit-learn (>=0.19.1)
Requires-Dist: xgboost (>=0.81)

# Linora



![PyPI version](https://img.shields.io/pypi/pyversions/linora.svg)
![PyPI license](https://img.shields.io/pypi/l/linora.svg)
[![PyPI](https://img.shields.io/pypi/v/linora.svg)](https://pypi.python.org/pypi/linora)
![PyPI format](https://img.shields.io/pypi/format/linora.svg)

Beefly is efficient visualization training packages of Keras, enabling the live visualization of loss function and metrics during training process.

Beefly is process in the Jupyter Notebook, so we recommend Jupyter Notebook as Beefly's developing environment.


## [API Document](https://github.com/Hourout/linora/blob/master/document/English_API.md)
## [API文档](https://github.com/Hourout/linora/blob/master/document/Chinese_API.md)
## [中文介绍](https://github.com/Hourout/linora/blob/master/document/Chinese.md)

## Installation

To install [this verson from PyPI](https://pypi.org/project/linora/), type:

```
pip install linora
```

To get the newest one from this repo (note that we are in the alpha stage, so there may be frequent updates), type:

```
pip install git+git://github.com/Hourout/linora.git
```

## Feature



## Example
- [linora.XGBRanker](https://github.com/Hourout/linora/blob/master/example/XGBRanker.ipynb)
- [linora.XGBClassifier](https://github.com/Hourout/linora/blob/master/example/XGBClassifier.ipynb)
- [linora.XGBRegressor](https://github.com/Hourout/linora/blob/master/example/XGBRegressor.ipynb)


