public void PredictCross()
{
if (this.model == null)
{
Debug.Log("Create model before");
return;
}
// Call lib to predict test spheres
foreach (var testSphere in testSpheres)
{
var position = testSphere.position;
var transformedPosition = TransformCross(position);
double[] inputs = { transformedPosition.x, transformedPosition.z };
var predicted = LinearClassification.linear_model_predict_classification(this.model.Value, 2, inputs);
position = new Vector3(
position.x,
predicted * (float)0.5,
position.z
);
testSphere.position = position;
}
}
public void PredictXor()
{
if (this.model == null)
{
Debug.Log("Create model before");
return;
}
// Call lib to predict test spheres
foreach (var testSphere in testSpheres)
{
var position = testSphere.position;
double[] inputs = { Math.Pow(position.x + position.z, 2) };
var predicted = LinearClassification.linear_model_predict_classification(this.model.Value, 1, inputs);
position = new Vector3(
position.x,
predicted * (float)0.5,
position.z
);
testSphere.position = position;
}
Debug.Log("Predicted");
}