protected void CreateFastValueMapper(int conc)
{
IDataTransform tr = _transforms.Last().transform;
if (_predictor != null && _predictor.predictor != null)
{
var roles = new RoleMappedData(tr, _roles ?? new List <KeyValuePair <RoleMappedSchema.ColumnRole, string> >());
tr = PredictorHelper.Predict(_env, _predictor.predictor, roles);
}
_fastValueMapperObject = new ValueMapperDataFrameFromTransform(_env, tr, conc: conc);
_fastValueMapper = _fastValueMapperObject.GetMapper <DataFrame, DataFrame>();
}
/// <summary>
/// Computes the predictions for data stored in a <see cref="IDataView"/>.
/// This method can be called from any thread as it creates new getters.
/// It must follow the same schema as the training data.
/// </summary>
public IDataView Predict(IDataView data)
{
IDataView features = null;
if (_transforms == null)
{
features = data;
}
else
{
var first = _transforms.First().transform;
var pass = first as PassThroughTransform;
pass.SetSource(data);
features = _transforms.Last().transform;
}
if (_predictor == null || _predictor.predictor == null)
{
return(features);
}
var roles = new RoleMappedData(features, _roles ?? new List <KeyValuePair <RoleMappedSchema.ColumnRole, string> >());
return(PredictorHelper.Predict(_env, _predictor.predictor, roles));
}