Hello everybody, I am new to Machine Learning but I want to get started with developing CoreML models to try them out in a few apps of my own. What is the best way to build a dataset from Apple Watch data to build an activity model? Do I build an iPhone app that works with the Apple Watch in order to get the data I need, or is there a more direct way to do it through Xcode, maybe? Thank you for for help. Best regards, Tomás

Hello everyone, I trying to draw a custom view inside a for each (list style), that is inside a Scroll View, that is inside a Navigation view. Like this. Navigation View { ScrollView { ForEach(array of objects ...) { CustomView() } } } The custom view calls up a sheet that has a button that is able to delete elements inside the collection used in the foreach. Unless I use this asyncAfter after dismissing the sheet I always get index out of bounds when I try to remove the last element of the array of objects in the for each: DispatchQueue.main.asyncAfter(deadline: .now() + 0.5) {             workouts.removeAll(where: { $0.id == workoutToRemoveID })         } I have been trying to solve this bug, but so far no luck. Could you give me a hand? Thank you for your help!

Hello everyone! I am trying to implement push notifications in my WatchOS app. I have created the delegate class that handles the registration for remote notifications and that allows me to obtain the device token. Then I take the token and send it to Firebase, like this: func didRegisterForRemoteNotifications(withDeviceToken deviceToken: Data) {     FirebaseApp.configure()     var ref: DatabaseReference!     ref = Database.database().reference().ref.child("/")     let tokenParts = deviceToken.map { data in String(format: "%02.2hhx", data) }     let token = tokenParts.joined()      if let userID = UserDefaults.standard.object(forKey: "id") as? String {         ref.child("users/\(userID)/token").setValue(token)     } } Then I am using a Python Script to communicate with APNS. I am using the http library to get access to HTTP2. This is what I have got: payload = { "aps" : { "alert" : { "title" : "Hello Push", "message": "This is a notification!" }, "category": "myCategory" } } dev_server = "https://api.sandbox.push.apple.com:443" device_token = "9fe2814b6586bbb683b1a3efabdbe1ddd7c6918f51a3b83e90fce038dc058550" headers = { 'method': 'POST', 'path': '/3/device/{}'.format(device_token), 'autorization': 'bearer' + 'provider_token', 'apns-push-type': 'myCategory', 'apns-expiration': '0', 'apns-priority': '10', } async def test(): async with httpx.AsyncClient(http2=True) as client: client = httpx.AsyncClient(http2=True) r = await client.post(dev_server, headers=headers, data=payload) print(r.text) asyncio.run(test()) I have also downloaded the .p8 auth key file. But I don't really understand from the Apple Documentation what I have to do with it. What is the provider token in the headers? Am I doing the right thing with the token I receive from didRegisterForRemoteNotifications?

Hello everybody, I am trying to navigate from one view to another using NavigationView and NavigationLink. I can't figure out what I am doing wrong, but the way I am doing it I get a warning saying: "Result of NavigationLink<Label, Destination> is unused". In fact, I can't navigate to the view I want to open. Here is my code so far: NavigationView { VStack { Button(action: { let observation = self.createObservation() self.records.addObservation(observation) self.isPresented.toggle() NavigationLink(destination: ObservationDetails(observation: observation).environmentObject(self.records)) { EmptyView() } }) {   Text("Classify") } } Thank you for your help!

Hello everybody ,Two days ago I submitted my first iOS app. I was super excited. Yesterday my app came back rejected with “metadata rejected”. I am very inexperienced and I kind of panic and tried everything to solve it. I replied in the resolution center and then I made the mistake of clicking submit for review. And now I am waiting.Sorry to bother you but I really would like to hear from somebody with experience what is going to happen now...- Since I clicked submit for review will my app be again in the beginning of the queue?- what happens to my response in the resolution center? Will my reviewer still read it?- How long, in the worst case scenario will it take to get some feedback back?Thank you so much.Best regards,

Hello everybody,I am new to iOS development and I found an error that I can not get past. I have read a lot online and on Stackoverflow but I don't understand why this error keeps coming up.I have a table view controller and I want to write text to other view controller using:navigationController?.pushViewController(viewController, animated: true)I have this class where I already have an outlet for the label.import UIKit class PetitionDetailsViewController: UIViewController { @IBOutlet weak var PetitionDetailsOutlet: UILabel! override func viewDidLoad() { super.viewDidLoad() } }On the other class I have this code where I try to add text to the label in the PetitionDetailsViewController after tapping one of the rows in the table view.override func tableView(_ tableView: UITableView, didSelectRowAt indexPath: IndexPath) { let viewController = PetitionDetailsViewController() print(petitions[indexPath.row].body) viewController.PetitionDetailsOutlet.text = petitions[indexPath.row].body navigationController?.pushViewController(viewController, animated: true) }I don't understand why this error keeps coming up. I have the outlet and initially the label is empty.Why is it nil?

Hello everybody, I am trying to run inference on a CoreML Model created by me using CreateML. I am following the sample code provided by Apple on the CoreML documentation page and every time I try to classify an image I get this error: "Could not create Espresso context". Has this ever happened to anyone? How did you solve it? Here is my code: import Foundation import Vision import UIKit import ImageIO final class ButterflyClassification {          var classificationResult: Result?          lazy var classificationRequest: VNCoreMLRequest = {                  do {             let model = try VNCoreMLModel(for: ButterfliesModel_1(configuration: MLModelConfiguration()).model)                          return VNCoreMLRequest(model: model, completionHandler: { [weak self] request, error in                                  self?.processClassification(for: request, error: error)             })         }         catch {             fatalError("Failed to lead model.")         }     }()     func processClassification(for request: VNRequest, error: Error?) {                  DispatchQueue.main.async {                          guard let results = request.results else {                 print("Unable to classify image.")                 return             }                          let classifications = results as! [VNClassificationObservation]                          if classifications.isEmpty {                                  print("No classification was provided.")                 return             }             else {                                  let firstClassification = classifications[0]                 self.classificationResult = Result(speciesName: firstClassification.identifier, confidence: Double(firstClassification.confidence))             }         }     }     func classifyButterfly(image: UIImage) - Result? {                  guard let ciImage = CIImage(image: image) else {             fatalError("Unable to create ciImage")         }                  DispatchQueue.global(qos: .userInitiated).async {                          let handler = VNImageRequestHandler(ciImage: ciImage, options: [:])             do {                 try handler.perform([self.classificationRequest])             }             catch {                 print("Failed to perform classification.\n\(error.localizedDescription)")             }         }                  return classificationResult     } } Thank you for your help!