/// <summary>
/// ランダムツリーモデルの学習
/// </summary>
/// <param name="trainData"></param>
/// <param name="tflag"></param>
/// <param name="responses"></param>
/// <param name="varIdx"></param>
/// <param name="sampleIdx"></param>
/// <param name="varType"></param>
/// <param name="missingMask"></param>
/// <param name="param"></param>
/// <returns></returns>
#else
/// <summary>
/// Trains Random Trees model
/// </summary>
/// <param name="trainData"></param>
/// <param name="tflag"></param>
/// <param name="responses"></param>
/// <param name="varIdx"></param>
/// <param name="sampleIdx"></param>
/// <param name="varType"></param>
/// <param name="missingMask"></param>
/// <param name="param"></param>
/// <returns></returns>
#endif
public virtual bool Train(
Mat trainData,
DTreeDataLayout tflag,
Mat responses,
Mat varIdx = null,
Mat sampleIdx = null,
Mat varType = null,
Mat missingMask = null,
CvRTParams param = null)
{
if (trainData == null)
{
throw new ArgumentNullException("trainData");
}
if (responses == null)
{
throw new ArgumentNullException("responses");
}
if (param == null)
{
param = new CvRTParams();
}
return(NativeMethods.ml_CvRTrees_train_CvMat(
ptr,
trainData.CvPtr,
(int)tflag,
responses.CvPtr,
Cv2.ToPtr(varIdx),
Cv2.ToPtr(sampleIdx),
Cv2.ToPtr(varType),
Cv2.ToPtr(missingMask),
param.CvPtr) != 0);
}
/// <summary>
///
/// </summary>
/// <param name="data"></param>
/// <param name="param"></param>
/// <returns></returns>
#else
/// <summary>
///
/// </summary>
/// <param name="data"></param>
/// <param name="param"></param>
/// <returns></returns>
#endif
public bool Train(CvMLData data, CvRTParams param)
{
if (data == null)
{
throw new ArgumentNullException("data");
}
if (param == null)
{
param = new CvRTParams();
}
return(NativeMethods.ml_CvERTrees_train2(ptr, data.CvPtr, param.CvPtr) != 0);
}
/// <summary>
///
/// </summary>
/// <param name="trainData"></param>
/// <param name="tflag"></param>
/// <param name="responses"></param>
/// <param name="varIdx"></param>
/// <param name="sampleIdx"></param>
/// <param name="varType"></param>
/// <param name="missingMask"></param>
/// <param name="param"></param>
/// <returns></returns>
#else
/// <summary>
///
/// </summary>
/// <param name="trainData"></param>
/// <param name="tflag"></param>
/// <param name="responses"></param>
/// <param name="varIdx"></param>
/// <param name="sampleIdx"></param>
/// <param name="varType"></param>
/// <param name="missingMask"></param>
/// <param name="param"></param>
/// <returns></returns>
#endif
public virtual bool Train(
CvMat trainData,
int tflag,
CvMat responses,
CvMat varIdx = null,
CvMat sampleIdx = null,
CvMat varType = null,
CvMat missingMask = null,
CvRTParams param = null)
{
if (trainData == null)
{
throw new ArgumentNullException("trainData");
}
if (responses == null)
{
throw new ArgumentNullException("responses");
}
trainData.ThrowIfDisposed();
responses.ThrowIfDisposed();
if (param == null)
{
param = new CvRTParams();
}
return(NativeMethods.ml_CvERTrees_train1(
ptr,
trainData.CvPtr,
tflag,
responses.CvPtr,
Cv2.ToPtr(varIdx),
Cv2.ToPtr(sampleIdx),
Cv2.ToPtr(varType),
Cv2.ToPtr(missingMask),
param.CvPtr) != 0);
}
/// <summary>
///
/// </summary>
/// <param name="data"></param>
/// <param name="param"></param>
/// <returns></returns>
#else
/// <summary>
///
/// </summary>
/// <param name="data"></param>
/// <param name="param"></param>
/// <returns></returns>
#endif
public bool Train(CvMLData data, CvRTParams param)
{
if (data == null)
throw new ArgumentNullException("data");
if (param == null)
param = new CvRTParams();
return NativeMethods.ml_CvERTrees_train2(ptr, data.CvPtr, param.CvPtr) != 0;
}
/// <summary>
///
/// </summary>
/// <param name="trainData"></param>
/// <param name="tflag"></param>
/// <param name="responses"></param>
/// <param name="varIdx"></param>
/// <param name="sampleIdx"></param>
/// <param name="varType"></param>
/// <param name="missingMask"></param>
/// <param name="param"></param>
/// <returns></returns>
#else
/// <summary>
///
/// </summary>
/// <param name="trainData"></param>
/// <param name="tflag"></param>
/// <param name="responses"></param>
/// <param name="varIdx"></param>
/// <param name="sampleIdx"></param>
/// <param name="varType"></param>
/// <param name="missingMask"></param>
/// <param name="param"></param>
/// <returns></returns>
#endif
public virtual bool Train(
CvMat trainData,
int tflag,
CvMat responses,
CvMat varIdx = null,
CvMat sampleIdx = null,
CvMat varType = null,
CvMat missingMask = null,
CvRTParams param = null)
{
if (trainData == null)
throw new ArgumentNullException("trainData");
if (responses == null)
throw new ArgumentNullException("responses");
trainData.ThrowIfDisposed();
responses.ThrowIfDisposed();
if (param == null)
param = new CvRTParams();
return NativeMethods.ml_CvERTrees_train1(
ptr,
trainData.CvPtr,
tflag,
responses.CvPtr,
Cv2.ToPtr(varIdx),
Cv2.ToPtr(sampleIdx),
Cv2.ToPtr(varType),
Cv2.ToPtr(missingMask),
param.CvPtr) != 0;
}