semvec/pypi-packages huggingface dataset:
kuaciyuan-hulianwang 2022.8.5.0
跨次元互联网：祖夫雅的魔法通道
Requires Python: >=3.6

# 跨次元互联网：祖夫雅的魔法通道

## 下载

### Docker

```
docker pull apachecn0/kuaciyuan-hulianwang
docker run -tid -p <port>:80 apachecn0/kuaciyuan-hulianwang
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install kuaciyuan-hulianwang
kuaciyuan-hulianwang <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g kuaciyuan-hulianwang
kuaciyuan-hulianwang <port>
# 访问 http://localhost:{port} 查看文档
```
jinqian-mofa 2022.8.5.0
金钱魔法
Requires Python: >=3.6

# 金钱魔法

## 下载

### Docker

```
docker pull apachecn0/jinqian-mofa
docker run -tid -p <port>:80 apachecn0/jinqian-mofa
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install jinqian-mofa
jinqian-mofa <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g jinqian-mofa
jinqian-mofa <port>
# 访问 http://localhost:{port} 查看文档
```
huoxi-mofa 2022.8.5.0
火系魔法
Requires Python: >=3.6

# 火系魔法

## 下载

### Docker

```
docker pull apachecn0/huoxi-mofa
docker run -tid -p <port>:80 apachecn0/huoxi-mofa
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install huoxi-mofa
huoxi-mofa <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g huoxi-mofa
huoxi-mofa <port>
# 访问 http://localhost:{port} 查看文档
```
hundun-mofa-xuexi-shouce 2022.8.5.0
混沌魔法学习手册
Requires Python: >=3.6

# 混沌魔法学习手册

## 下载

### Docker

```
docker pull apachecn0/hundun-mofa-xuexi-shouce
docker run -tid -p <port>:80 apachecn0/hundun-mofa-xuexi-shouce
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install hundun-mofa-xuexi-shouce
hundun-mofa-xuexi-shouce <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g hundun-mofa-xuexi-shouce
hundun-mofa-xuexi-shouce <port>
# 访问 http://localhost:{port} 查看文档
```
huaying-taluo-zhidao-shouce 2022.8.5.0
花影塔罗指导手册
Requires Python: >=3.6

# 花影塔罗指导手册

## 下载

### Docker

```
docker pull apachecn0/huaying-taluo-zhidao-shouce
docker run -tid -p <port>:80 apachecn0/huaying-taluo-zhidao-shouce
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install huaying-taluo-zhidao-shouce
huaying-taluo-zhidao-shouce <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g huaying-taluo-zhidao-shouce
huaying-taluo-zhidao-shouce <port>
# 访问 http://localhost:{port} 查看文档
```
huadiaodeqian-douhui-ziji-liuhuilai 2022.8.5.0
花掉的钱都会自己流回来
Requires Python: >=3.6

# 花掉的钱都会自己流回来

## 下载

### Docker

```
docker pull apachecn0/huadiaodeqian-douhui-ziji-liuhuilai
docker run -tid -p <port>:80 apachecn0/huadiaodeqian-douhui-ziji-liuhuilai
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install huadiaodeqian-douhui-ziji-liuhuilai
huadiaodeqian-douhui-ziji-liuhuilai <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g huadiaodeqian-douhui-ziji-liuhuilai
huadiaodeqian-douhui-ziji-liuhuilai <port>
# 访问 http://localhost:{port} 查看文档
```
genzhe-dashi-xuetaluo 2022.8.5.0
跟着大师学塔罗
Requires Python: >=3.6

# 跟着大师学塔罗

## 下载

### Docker

```
docker pull apachecn0/genzhe-dashi-xuetaluo
docker run -tid -p <port>:80 apachecn0/genzhe-dashi-xuetaluo
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install genzhe-dashi-xuetaluo
genzhe-dashi-xuetaluo <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g genzhe-dashi-xuetaluo
genzhe-dashi-xuetaluo <port>
# 访问 http://localhost:{port} 查看文档
```
fengxi-mofa 2022.8.5.0
风系魔法
Requires Python: >=3.6

# 风系魔法

## 下载

### Docker

```
docker pull apachecn0/fengxi-mofa
docker run -tid -p <port>:80 apachecn0/fengxi-mofa
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install fengxi-mofa
fengxi-mofa <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g fengxi-mofa
fengxi-mofa <port>
# 访问 http://localhost:{port} 查看文档
```
dangshenmixue-laiqiaomen 2022.8.5.0
当神秘学来敲门
Requires Python: >=3.6

# 当神秘学来敲门

## 下载

### Docker

```
docker pull apachecn0/dangshenmixue-laiqiaomen
docker run -tid -p <port>:80 apachecn0/dangshenmixue-laiqiaomen
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install dangshenmixue-laiqiaomen
dangshenmixue-laiqiaomen <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g dangshenmixue-laiqiaomen
dangshenmixue-laiqiaomen <port>
# 访问 http://localhost:{port} 查看文档
```
dadi-mofa 2022.8.5.0
大地魔法
Requires Python: >=3.6

# 大地魔法

## 下载

### Docker

```
docker pull apachecn0/dadi-mofa
docker run -tid -p <port>:80 apachecn0/dadi-mofa
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install dadi-mofa
dadi-mofa <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g dadi-mofa
dadi-mofa <port>
# 访问 http://localhost:{port} 查看文档
```
chuangzao-zijide-shensheng-dianli 2022.8.5.0
创造自己的神圣典礼
Requires Python: >=3.6

# 创造自己的神圣典礼

## 下载

### Docker

```
docker pull apachecn0/chuangzao-zijide-shensheng-dianli
docker run -tid -p <port>:80 apachecn0/chuangzao-zijide-shensheng-dianli
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install chuangzao-zijide-shensheng-dianli
chuangzao-zijide-shensheng-dianli <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g chuangzao-zijide-shensheng-dianli
chuangzao-zijide-shensheng-dianli <port>
# 访问 http://localhost:{port} 查看文档
```
baimofa-rangni-gongzuo-chaoshunli 2022.8.5.0
白魔法让你工作超顺利
Requires Python: >=3.6

# 白魔法让你工作超顺利

## 下载

### Docker

```
docker pull apachecn0/baimofa-rangni-gongzuo-chaoshunli
docker run -tid -p <port>:80 apachecn0/baimofa-rangni-gongzuo-chaoshunli
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install baimofa-rangni-gongzuo-chaoshunli
baimofa-rangni-gongzuo-chaoshunli <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g baimofa-rangni-gongzuo-chaoshunli
baimofa-rangni-gongzuo-chaoshunli <port>
# 访问 http://localhost:{port} 查看文档
```
dpm360-lightsaber 0.3.0
Package to handle model training for dpm tasks

# Welcome to lightsaber

<!-- For full documentation visit [mkdocs.org](https://www.mkdocs.org). -->
## Overview

`lightsaber` is designed ground up to provide a _simple_, _composible_, and unified
model training framework. It has been designed based on state-of-the-art open source
tools and extended to support the common use cases for disease progression modeling (DPM). 

`lightsaber` provides four main components:

* Data ingestion modules
* Model Trainers
* DPM problem specific model evaluation
* Model tracking and support for post-hoc model evaluation.

Each of these components are designed such that a user should be able to pick some
or all of the modules and embed these seamlessly with their current workflow. 
Futhermore, when used in the recommended manner, `lightsaber` provides a _batteries included_
approach allowing the modeler to focus only on developing the logic of their model and
letting `lightsaber` handle the rest.

Currently, we support the following DPM use cases:

* classification: one or multi-class

Also, we support and extend the following frameworks:

* `scikit-learn` compliant models: for classical models
* `pytorch` compliant models: for general purpose models, including deep learning models.


To summarize, it is thus an `opinionated` take on how DPM should be conducted providing with a 
unified core to abstract and standardize out the engineering, evaluation, model training, and model tracking
to support: **(a) reproducible research, (b) accelarate model development, and (c) standardize model deployment**.

## Installation Instructions

`Lightsaber` is installable as a python package.  

It can be installed using `conda` as:
```
conda install -c conda-forge dpm360-lightsaber
```
 or from `pypi` as:
```
pip install dpm360-lightsaber
```
It can also be installed from source using pip as follows:
* barebones install of `Lightsaber`: `pip install .` 
* with doc support: `pip install .[doc]`
* with time-to-event modeling (T2E) support: `pip install .[t2e]`
* full install with all components: `pip install .[full]`

[![Downloads](https://pepy.tech/badge/lightsaber)](https://pepy.tech/project/dpm360-lightsaber)