Programming-Language-Classifier
所属分类：人工智能/神经网络/深度学习
开发工具：Swift
文件大小：3442KB
下载次数：0
上传日期：2018-06-12 12:12:09
上 传 者：
sh-1993
说明： 编程语言分类器，如何在Xcode 10中使用CreateML创建用于对文本进行分类的核心ML模型的示例
(Programming-Language-Classifier,An example of how to use CreateML in Xcode 10 to create a Core ML model for classifying text)
文件列表:
Classifier Demo.playground (0, 2018-06-12)
Classifier Demo.playground\Contents.swift (505, 2018-06-12)
Classifier Demo.playground\Resources (0, 2018-06-12)
Classifier Demo.playground\Resources\ProgrammingLanguageClassifier.mlmodelc (0, 2018-06-12)
Classifier Demo.playground\Resources\ProgrammingLanguageClassifier.mlmodelc\coremldata.bin (2760888, 2018-06-12)
Classifier Demo.playground\Sources (0, 2018-06-12)
Classifier Demo.playground\Sources\Decorate.swift (366, 2018-06-12)
Classifier Demo.playground\Sources\DragAndDropView.swift (1989, 2018-06-12)
Classifier Demo.playground\contents.xcplayground (167, 2018-06-12)
LICENSE.md (1064, 2018-06-12)
ProgrammingLanguageClassifier.mlmodel (2731699, 2018-06-12)
Trainer.swift (3342, 2018-06-12)
code-corpora (0, 2018-06-12)
# Programming Language Classifier
An example of how to use CreateML and Xcode 10
to train a CoreML model that is used by the Natural Language framework
to classify the programming language of source code.
```swift
let code = """
struct Plane: Codable {
var manufacturer: String
var model: String
var seats: Int
}
"""
let url = Bundle.main.url(forResource: "Classifier",
withExtension: "mlmodelc")!
let model = try! NLModel(contentsOf: url)
model.predictedLabel(for: code) // Swift
```
## Requirements
- macOS Mojave Beta
- Xcode 10 Beta
_These are available for Apple Developer account members to download
at _
## Usage
This project includes a pre-trained programming language classifier model.
To see it in action, open `Classifier Demo.playground`,
run the playground with the Assistant editor showing the Live View,
and then drag and drop a source code file.
The model will predict the language of the file based on its contents.
## Training Instructions
- Clone and setup the repository by running the following commands:
```terminal
$ git clone https://github.com/flight-school/Programming-Language-Classifier.git`
$ cd Programming-Language-Classifier
$ git submodule update --init
```
- Open `Trainer.swift` in an editor and fill in the placeholder values
for `destinationPath` and `corpusPath`:
```terminal
$ open ./Trainer.swift
```
- Run `Trainer.swift` and wait for the model to be trained
_(on a 2017 MacBook Pro, this took a few minutes)_:
```terminal
$ swift ./Trainer.swift
```
- Compile the generated `.mlmodel` bundle using the following command:
```terminal
$ xcrun coremlc compile path/to/ProgrammingLanguageClassifier.mlmodel .
```
- Move the compiled `.mlmodelc` bundle into the Resources directory
of `Classifier Demo.playground`, replacing any existing resource.
## License
MIT
See [code-corpora](https://github.com/source-foundry/code-corpora)
for licensing information of the included projects.
## About Flight School
Flight School is a new book series for Swift developers.
Each month, we'll explore an essential part of
iOS, macOS, and Swift development through concise, focused books.
If you'd like to get in touch,
feel free to message us on Twitter
([@flightdotschool](https://twitter.com/flightdotschool))
or email us at .
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