public static Polynomial.Output Add(this Microsoft.ML.Runtime.Experiment exp, Polynomial input)
{
var output = new Polynomial.Output();
exp.Add(input, output);
return(output);
}
public static NearestNeighborsMultiClass.Output Add(this Microsoft.ML.Runtime.Experiment exp, NearestNeighborsMultiClass input)
{
var output = new NearestNeighborsMultiClass.Output();
exp.Add(input, output);
return(output);
}
public static ULabelToR4Label.Output Add(this Microsoft.ML.Runtime.Experiment exp, ULabelToR4Label input)
{
var output = new ULabelToR4Label.Output();
exp.Add(input, output);
return(output);
}
public static PassThrough.Output Add(this Microsoft.ML.Runtime.Experiment exp, PassThrough input)
{
var output = new PassThrough.Output();
exp.Add(input, output);
return(output);
}
public static EP_NearestNeighbors.Output Add(this Microsoft.ML.Runtime.Experiment exp, EP_NearestNeighbors input)
{
var output = new EP_NearestNeighbors.Output();
exp.Add(input, output);
return(output);
}
public static Scaler.Output Add(this Microsoft.ML.Runtime.Experiment exp, Scaler input)
{
var output = new Scaler.Output();
exp.Add(input, output);
return(output);
}
public static void Add(this Microsoft.ML.Runtime.Experiment exp, Scikit.ML.XGBoostWrapper.XGBoostBinary input, Scikit.ML.XGBoostWrapper.XGBoostBinary.Output output)
{
// TODO: Internal API not available.
// _jsonNodes.Add(Serialize("ScikitML.XGBoostBinary", input, output));
// It could be replaced by:
// exp.AddSerialize("ScikitML.XGBoostBinary", input, output);
}
public static Scikit.ML.XGBoostWrapper.XGBoostBinary.Output Add(this Microsoft.ML.Runtime.Experiment exp, Scikit.ML.XGBoostWrapper.XGBoostBinary input)
{
var output = new Scikit.ML.XGBoostWrapper.XGBoostBinary.Output();
exp.Add(input, output);
return(output);
}
public static Resample.Output Add(this Microsoft.ML.Runtime.Experiment exp, Resample input)
{
var output = new Resample.Output();
exp.Add(input, output);
return(output);
}
public static void Add(this Microsoft.ML.Runtime.Experiment exp, Polynomial input, Polynomial.Output output)
{
exp.AddEntryPoint(EP_Polynomial.Name, input, output);
}
public static void Add(this Microsoft.ML.Runtime.Experiment exp, NearestNeighborsMultiClass input, NearestNeighborsMultiClass.Output output)
{
exp.AddEntryPoint(NearestNeighborsMultiClass.Name, input, output);
}
public static void Add(this Microsoft.ML.Runtime.Experiment exp, ULabelToR4Label input, ULabelToR4Label.Output output)
{
exp.AddEntryPoint(EP_ULabelToR4Label.Name, input, output);
}
public static void Add(this Microsoft.ML.Runtime.Experiment exp, Scaler input, Scaler.Output output)
{
exp.AddEntryPoint(EP_Scaler.Name, input, output);
}
public static void Add(this Microsoft.ML.Runtime.Experiment exp, PassThrough input, PassThrough.Output output)
{
exp.AddEntryPoint(EP_PassThrough.Name, input, output);
}
public static void Add(this Microsoft.ML.Runtime.Experiment exp, Resample input, Resample.Output output)
{
exp.AddEntryPoint(EP_Resample.Name, input, output);
}