public void Read(ModelLoadContext ctx, IHost host)
{
string sr = ctx.Reader.ReadString();
columns = Column1x1.ParseMulti(sr);
scaling = (ScalerStrategy)ctx.Reader.ReadInt32();
}
public void Read(ModelLoadContext ctx, IHost host)
{
seed = ctx.Reader.ReadInt32();
string sr = ctx.Reader.ReadString();
columns = Column1x1.ParseMulti(sr);
}
public void Read(ModelLoadContext ctx, IHost host)
{
string sr = ctx.Reader.ReadString();
columns = Column1x1.ParseMulti(sr);
timeColumn = ctx.Reader.ReadString();
var opt = ctx.Reader.ReadString();
optim = new ScikitSubComponent <ITrainer, SignatureRegressorTrainer>(opt);
}
public void Read(ModelLoadContext ctx, IHost host)
{
string sr = ctx.Reader.ReadString();
columns = Column1x1.ParseMulti(sr);
degree = ctx.Reader.ReadInt32();
int nb = ctx.Reader.ReadInt32();
numThreads = nb > 0 ? (int?)nb : null;
}
public void Write(ModelSaveContext ctx, IHost host)
{
ctx.Writer.Write(seed);
ctx.Writer.Write(Column1x1.ArrayToLine(columns));
}
public void Write(ModelSaveContext ctx, IHost host)
{
ctx.Writer.Write(Column1x1.ArrayToLine(columns));
ctx.Writer.Write(timeColumn);
ctx.Writer.Write(optim.ToString());
}
public void Write(ModelSaveContext ctx, IHost host)
{
ctx.Writer.Write(Column1x1.ArrayToLine(columns));
ctx.Writer.Write(degree);
ctx.Writer.Write(numThreads ?? -1);
}
