/// <summary>
/// Make a prediction using the standard interface
/// </summary>
/// <param name="input">an instance of hate_coremlInput to predict from</param>
/// <param name="error">If an error occurs, upon return contains an NSError object that describes the problem.</param>
public hate_coremlOutput GetPrediction(hate_coremlInput input, out NSError error)
{
if (input == null)
{
throw new ArgumentNullException(nameof(input));
}
var prediction = model.GetPrediction(input, out error);
if (prediction == null)
{
return(null);
}
var output1Value = prediction.GetFeatureValue("output1").MultiArrayValue;
return(new hate_coremlOutput(output1Value));
}
/// <summary>
/// Make a prediction using the convenience interface
/// </summary>
/// <param name="input1"> as 1 1-dimensional array of doubles</param>
/// <param name="options">prediction options</param>
/// <param name="error">If an error occurs, upon return contains an NSError object that describes the problem.</param>
public hate_coremlOutput GetPrediction(MLMultiArray input1, MLPredictionOptions options, out NSError error)
{
var input = new hate_coremlInput(input1);
return(GetPrediction(input, options, out error));
}