January 2023
Intermediate to advanced
288 pages
6h 6m
Chinese
Content preview from 移动端AI与ML应用开发：基于iOS和Android
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为简单的
iOS
应用程序创建
ML
和
Core ML
|
245
反正玩够了。让我们回去工作吧。要构建使用它的应用程序，你首先需要导出你的模
型。你可以在“ Output ”选项卡上执行此操作。使用“ Get ”按钮来保存它并为其指定
一个易于记忆的名称。就我而言，我称它为
emotion.mlmodel
。
13.3
在应用程序中使用模型
像这样的语言模型在应用程序中使用起来非常简单。创建一个新应用程序并添加一个带
有输出
txtInput
的 UITextView、一个带有输出
txtOutput
的 UILabel，以及一个带有
名为
classifyText
的动作的按钮。你的故事板应如图 13-16 所示。
图
13-16
：一个简单的语言应用程序的故事板
在
classifyText
动作中，添加对
doInference()
的调用。此功能尚不存在，你很快就
会添加它。类顶部的代码应如下所示：
@IBOutlet weak var txtInput: UITextView!
@IBOutlet weak var txtOutput: UILabel!
@IBAction func classifyText(_ sender: Any) {
doInference()
}
要将 Core ML 与自然语言处理一起使用，你还应该确保使用以下方法导入这两个库：
import NaturalLanguage
import CoreML
现在你可以做你的推理了。将你之前创建的模型拖放到 Xcode 中，它会为你生成一个与
保存的模型同名的类。我将其称为“ ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.