# machine-learnning

**Repository Path**: JerrfyChern/machine-learnning

## Basic Information

- **Project Name**: machine-learnning
- **Description**: 毕业设计存放目录
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-04-18
- **Last Updated**: 2021-12-06

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

### 2021-06-* Graduation Project
-----
#### Consists Of The Project -- Directory tree
```text
.
├── NerveNets
│   ├── DataProcesserForNerveNet.py
│   ├── LSTMNerveNet.py
│   ├── OrdinaryNerveNet.py
│   ├── SVMModel.py
│   └── __init__.py
├── README.EN.md
├── README.md
├── console
│   ├── __init__.py
│   └── logger.py
├── data
│   ├── LSTM-model.pkl
│   ├── NerveNetModel.pkl
│   ├── SVMModel.pkl
│   ├── data.db
│   ├── requirements.txt
│   ├── search_word.txt
│   ├── sentence.txt
│   ├── stopwords.txt
│   ├── word2vec.pkl
│   └── word2vec.txt
├── dataprocesser
│   ├── __init__.py
│   ├── handler.py
│   ├── loader.py
│   ├── saver.py
│   └── word2vec.py
├── ui
│   ├── main.py
│   └── main_ui.py
└── web
    └── reptile.py
```

* NerveNet -- Define some normal nerve net and provide the train function of the model, give the interface to the outer file to get the trained model and device that adapt to the model
* console  -- Show the colorful console information, include four printing types  `infor`, `warning`, `debug`, `error` 
* data     -- The saving path of the model and some data files
* dataprocesser     -- Provide some functions of data handler, `loader`, `saver`, `handler`, in `loader` there has the unified interface: `data_path`
* ui       -- Use the inner module `tkinter` to give the interactive method, more friendly to use
* web      -- The reptile module, to get the information(actually the comment from Jindong) from Internet

#### Dependency
* The version of my Python <strong>Python 3.7.6</strong>
* Developing environment <strong>Pycharm 2020.1 & virtualenv & Windows 10</strong>
* See also the file `requirements.txt` in directory `data`, or you can use the order `pip install -r data/requirements.txt` to install the necessary module

#### Other
  As my first machine-learning project which started from 0, I'm glad to finish it. For the better future maybe.