DataViewRow ISchemaBoundRowMapper.GetRow(DataViewRow input, IEnumerable <DataViewSchema.Column> activeColumns)
{
var latentSum = new AlignedArray(_pred.FieldCount * _pred.FieldCount * _pred.LatentDimAligned, 16);
var featureBuffer = new VBuffer <float>();
var featureFieldBuffer = new int[_pred.FeatureCount];
var featureIndexBuffer = new int[_pred.FeatureCount];
var featureValueBuffer = new float[_pred.FeatureCount];
var inputGetters = new ValueGetter <VBuffer <float> > [_pred.FieldCount];
var activeIndices = activeColumns.Select(c => c.Index).ToArray();
var active0 = activeIndices.Contains(0);
var active1 = activeIndices.Contains(1);
if (active0 || active1)
{
for (int f = 0; f < _pred.FieldCount; f++)
{
inputGetters[f] = input.GetGetter <VBuffer <float> >(input.Schema[_inputColumnIndexes[f]]);
}
}
var getters = new Delegate[2];
if (active0)
{
ValueGetter <float> responseGetter = (ref float value) =>
{
value = _pred.CalculateResponse(inputGetters, featureBuffer, featureFieldBuffer, featureIndexBuffer, featureValueBuffer, latentSum);
};
getters[0] = responseGetter;
}
if (active1)
{
ValueGetter <float> probGetter = (ref float value) =>
{
value = _pred.CalculateResponse(inputGetters, featureBuffer, featureFieldBuffer, featureIndexBuffer, featureValueBuffer, latentSum);
value = MathUtils.SigmoidSlow(value);
};
getters[1] = probGetter;
}
return(new SimpleRow(OutputSchema, input, getters));
}
public DataViewRow GetRow(DataViewRow input, Func <int, bool> predicate)
{
var latentSum = new AlignedArray(_pred.FieldCount * _pred.FieldCount * _pred.LatentDimAligned, 16);
var featureBuffer = new VBuffer <float>();
var featureFieldBuffer = new int[_pred.FeatureCount];
var featureIndexBuffer = new int[_pred.FeatureCount];
var featureValueBuffer = new float[_pred.FeatureCount];
var inputGetters = new ValueGetter <VBuffer <float> > [_pred.FieldCount];
if (predicate(0) || predicate(1))
{
for (int f = 0; f < _pred.FieldCount; f++)
{
inputGetters[f] = input.GetGetter <VBuffer <float> >(_inputColumnIndexes[f]);
}
}
var getters = new Delegate[2];
if (predicate(0))
{
ValueGetter <float> responseGetter = (ref float value) =>
{
value = _pred.CalculateResponse(inputGetters, featureBuffer, featureFieldBuffer, featureIndexBuffer, featureValueBuffer, latentSum);
};
getters[0] = responseGetter;
}
if (predicate(1))
{
ValueGetter <float> probGetter = (ref float value) =>
{
value = _pred.CalculateResponse(inputGetters, featureBuffer, featureFieldBuffer, featureIndexBuffer, featureValueBuffer, latentSum);
value = MathUtils.SigmoidSlow(value);
};
getters[1] = probGetter;
}
return(new SimpleRow(OutputSchema, input, getters));
}