TestMLModel.swift

let model = try? VNCoreMLModel(for: DogNet().model)
let request = VNCoreMLRequest(model: model!) { (request, error) in
let results = request.results as! [VNClassificationObservation]
    for result in results {
        print("\(result.identifier) | \(result.confidence)")
    }
}
        
let handler = VNImageRequestHandler.init(cgImage: UIImage(named: "Chelsea.JPG")!.cgImage!, options: [:])
try? handler.perform([request])