public override IntPtr Operator(TTrainer trainer, float minLearningRate, int cacheSize)
{
BatchTrainerHelper.GetTypes <TScalar, TTrainer>(out _,
out var svmTrainerType,
out var svmKernelType,
out var sampleType);
if (!(minLearningRate > 0))
{
throw new ArgumentOutOfRangeException($"{nameof(minLearningRate)} must be greater than 0.");
}
if (!(cacheSize > 0))
{
throw new ArgumentOutOfRangeException($"{nameof(cacheSize)} must be greater than 0.");
}
var error = NativeMethods.verbose_batch_cached_float(svmKernelType.ToNativeKernelType(),
sampleType.ToNativeMatrixElementType(),
svmTrainerType,
trainer.NativePtr,
minLearningRate,
cacheSize,
out var ret);
switch (error)
{
case NativeMethods.ErrorType.MatrixElementTypeNotSupport:
throw new ArgumentException($"{sampleType} is not supported.");
case NativeMethods.ErrorType.SvmBatchTrainerNotSupport:
throw new ArgumentException($"{svmTrainerType} is not supported.");
case NativeMethods.ErrorType.SvmKernelNotSupport:
throw new ArgumentException($"{svmKernelType} is not supported.");
}
return(ret);
}
public abstract IntPtr Operator(TTrainer trainer, TScalar minLearningRate, int cacheSize);
