public KKMeans(KCentroid <TScalar, TKernel> kcentroid)
{
if (kcentroid == null)
{
throw new ArgumentNullException(nameof(kcentroid));
}
kcentroid.ThrowIfDisposed();
this._KCentroid = kcentroid;
var error = NativeMethods.kkmeans_new(this._KCentroid.Parameter.KernelType.ToNativeKernelType(),
this._KCentroid.Parameter.SampleType.ToNativeMatrixElementType(),
this._KCentroid.Parameter.TemplateRows,
this._KCentroid.Parameter.TemplateColumns,
kcentroid.NativePtr,
out var ret);
switch (error)
{
case NativeMethods.ErrorType.MatrixElementTypeNotSupport:
throw new ArgumentException($"{this._KCentroid.Parameter.SampleType} is not supported.");
case NativeMethods.ErrorType.MatrixElementTemplateSizeNotSupport:
throw new ArgumentException($"{nameof(this._KCentroid.Parameter.TemplateColumns)} or {nameof(this._KCentroid.Parameter.TemplateRows)} is not supported.");
case NativeMethods.ErrorType.SvmKernelNotSupport:
throw new ArgumentException($"{this._KCentroid.Parameter.KernelType} is not supported.");
}
this.NativePtr = ret;
}
public void SetKCentroid(KCentroid <TScalar, TKernel> kcentroid)
{
if (kcentroid == null)
{
throw new ArgumentNullException(nameof(kcentroid));
}
kcentroid.ThrowIfDisposed();
var ret = NativeMethods.kkmeans_set_kcentroid(this._KCentroid.Parameter.KernelType.ToNativeKernelType(),
this._KCentroid.Parameter.SampleType.ToNativeMatrixElementType(),
this._KCentroid.Parameter.TemplateRows,
this._KCentroid.Parameter.TemplateColumns,
this.NativePtr,
kcentroid.NativePtr);
}
public static Matrix <TScalar> RankFeatures <TScalar, TKernel>(KCentroid <TScalar, TKernel> kcentroid,
IEnumerable <Matrix <TScalar> > samples,
IEnumerable <TScalar> labels)
where TScalar : struct
where TKernel : KernelBase
{
if (kcentroid == null)
{
throw new ArgumentNullException(nameof(kcentroid));
}
if (samples == null)
{
throw new ArgumentNullException(nameof(samples));
}
if (labels == null)
{
throw new ArgumentNullException(nameof(labels));
}
var sampleArray = samples.ToArray();
var labelsArray = labels.ToArray();
var first = sampleArray.FirstOrDefault();
if (first == null)
{
throw new ArgumentException($"{nameof(samples)} contains null object", nameof(samples));
}
var templateRow = first.TemplateRows;
var templateColumn = first.TemplateColumns;
foreach (var sample in sampleArray)
{
if (sample == null)
{
throw new ArgumentException($"{nameof(samples)} contains null object", nameof(samples));
}
if (sample.TemplateRows != templateRow)
{
throw new ArgumentException($"{nameof(samples)} contains different {nameof(sample.TemplateRows)} of {typeof(Matrix<TScalar>).Name}", nameof(samples));
}
if (sample.TemplateColumns != templateColumn)
{
throw new ArgumentException($"{nameof(samples)} contains different {nameof(sample.TemplateColumns)} of {typeof(Matrix<TScalar>).Name}", nameof(samples));
}
}
var param = new MatrixTemplateSizeParameter(templateRow, templateColumn);
using (var inSamples = new StdVector <Matrix <TScalar> >(sampleArray, param))
using (var inLabels = new StdVector <TScalar>(labelsArray))
{
var type = first.MatrixElementType.ToNativeMatrixElementType();
var error = NativeMethods.rank_features(kcentroid.Parameter.KernelType.ToNativeKernelType(),
type,
templateRow,
templateColumn,
kcentroid.NativePtr,
inSamples.NativePtr,
inLabels.NativePtr,
out var ret);
switch (error)
{
case NativeMethods.ErrorType.MatrixElementTypeNotSupport:
throw new ArgumentException($"{type} is not supported.");
case NativeMethods.ErrorType.MatrixElementTemplateSizeNotSupport:
throw new ArgumentException($"{nameof(first.TemplateColumns)} or {nameof(first.TemplateRows)} is not supported.");
case NativeMethods.ErrorType.SvmKernelNotSupport:
throw new ArgumentException($"{kcentroid.Parameter.KernelType} is not supported.");
}
return(new Matrix <TScalar>(ret, 0, 2));
}
}
