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.

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

• macOS Mojave Beta
• Xcode 10 Beta

These are available for Apple Developer account members to download at https://developer.apple.com/download/

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.

• Clone and setup the repository by running the following commands:

$ 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:

$ open ./Trainer.swift

• Run Trainer.swift and wait for the model to be trained (on a 2017 MacBook Pro, this took a few minutes):

$ swift ./Trainer.swift

• Compile the generated .mlmodel bundle using the following command:

$ xcrun coremlc compile path/to/ProgrammingLanguageClassifier.mlmodel .

• Move the compiled .mlmodelc bundle into the Resources directory of Classifier Demo.playground, replacing any existing resource.

MIT

See code-corpora for licensing information of the included projects.

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.

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