Using MLMultiArray as input of an mlmodel in Xcode

Question

Hi,

I'm struggling to implement my model in Xcode using CoreML tools.

The implemented model looks like this :

The code of the viewController looks like this :

let model=blackjack()
let mlMultiArray = try? MLMultiArray (shape:[13,1,1],dataType : MLMultiArrayDataType.double)  
for (index,element) in vecteurCarte.enumerated() {
  print(type(of: element))
  mlMultiArray![index] = NSNumber(floatLiteral: element)
  }

let i = blackjackInput(cardPlayed: mlMultiArray!)
let prediction = try? model.prediction(input : i)
print("prediction label: ")
print(prediction?.classLabel ?? "No prediction possible")
print("probability per label :")
print(prediction?.output ?? "No prediction possible")

The error I get using this is : [coreml] Failure verifying inputs.

Any idea what I'm doing wrong? Thanks in advance for your help.

Alex

Core ML

2k

Posted by

alexandre R

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Answer 1

Hey Alex,

I found this example!, I hope help you.

Code Block import Foundation
import CoreML
class HeightWeightModelWrapper {
    enum *** {
        case Female
        case Male
    }
    let cmToInch = Float(0.393701)
    let poundToKilo = Float(0.453592)
    let model = HeightWeightExtended_model()
    
    func predictHeight(inches: Float, ***: ***) -> Float {
        do {
            let mlMultiArrayInput = try? MLMultiArray(shape:[3], dataType:MLMultiArrayDataType.double)
            mlMultiArrayInput![0] = NSNumber(floatLiteral: Double(inches))
            switch *** {
            case .Female:
                mlMultiArrayInput![1] = NSNumber(floatLiteral: Double(1))
                mlMultiArrayInput![2] = NSNumber(floatLiteral: Double(0))
            case .Male:
                mlMultiArrayInput![1] = NSNumber(floatLiteral: Double(0))
                mlMultiArrayInput![2] = NSNumber(floatLiteral: Double(1))
            }
            let heightWeightExtended_modelOutput = try model.prediction(input: HeightWeightExtended_modelInput(matrixHeightFemaleMale: mlMultiArrayInput!))
            return heightWeightExtended_modelOutput.weight[0].floatValue
        }
        catch let error {
            print(error)
        }
        return -1
    }
    func predictHeight(cm: Float, ***: ***) -> Float {
        return predictHeight(inches: cm * cmToInch, ***: ***) * poundToKilo
    }
}

Robert
🤖

Posted by

preto

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Using MLMultiArray as input of an mlmodel in Xcode

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