protected override PoissonRegressionPredictor CreatePredictor()
{
VBuffer <float> weights = default(VBuffer <float>);
CurrentWeights.CopyTo(ref weights, 1, CurrentWeights.Length - 1);
float bias = 0;
CurrentWeights.GetItemOrDefault(0, ref bias);
return(new PoissonRegressionPredictor(Host, ref weights, bias));
}
public override ParameterMixingCalibratedPredictor CreatePredictor()
{
// Logistic regression is naturally calibrated to
// output probabilities when transformed using
// the logistic function, so there is no need to
// train a separate calibrator.
VBuffer <Float> weights = default(VBuffer <Float>);
Float bias = 0;
CurrentWeights.GetItemOrDefault(0, ref bias);
CurrentWeights.CopyTo(ref weights, 1, CurrentWeights.Length - 1);
return(new ParameterMixingCalibratedPredictor(Host,
new LinearBinaryPredictor(Host, ref weights, bias, _stats),
new PlattCalibrator(Host, -1, 0)));
}