/// <summary>
/// 学習データを与えて初期化
/// </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>
#else
/// <summary>
/// Training constructor
/// </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>
#endif
public CvBoost(
CvMat trainData,
DTreeDataLayout tflag,
CvMat responses,
CvMat varIdx = null,
CvMat sampleIdx = null,
CvMat varType = null,
CvMat missingMask = null,
CvBoostParams 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 CvBoostParams();
ptr = NativeMethods.ml_Boost_new_CvMat(
trainData.CvPtr,
(int)tflag,
responses.CvPtr,
Cv2.ToPtr(varIdx),
Cv2.ToPtr(sampleIdx),
Cv2.ToPtr(varType),
Cv2.ToPtr(missingMask),
param.CvPtr
);
}
/// <summary>
/// ブーストされた分類器の学習
/// </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>
/// <param name="update"></param>
/// <returns></returns>
#else
/// <summary>
/// Trains boosted tree classifier
/// </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>
/// <param name="update"></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,
CvBoostParams param = null,
bool update = false)
{
if (trainData == null)
{
throw new ArgumentNullException("trainData");
}
if (responses == null)
{
throw new ArgumentNullException("responses");
}
trainData.ThrowIfDisposed();
responses.ThrowIfDisposed();
if (param == null)
{
param = new CvBoostParams();
}
int ret = NativeMethods.ml_CvBoost_train_Mat(
ptr,
trainData.CvPtr,
(int)tflag,
responses.CvPtr,
Cv2.ToPtr(varIdx),
Cv2.ToPtr(sampleIdx),
Cv2.ToPtr(varType),
Cv2.ToPtr(missingMask),
param.CvPtr,
update ? 1 : 0);
return(ret != 0);
}
/// <summary>
/// 学習データを与えて初期化
/// </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>
#else
/// <summary>
/// Training constructor
/// </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>
#endif
public CvBoost(
CvMat trainData,
DTreeDataLayout tflag,
CvMat responses,
CvMat varIdx = null,
CvMat sampleIdx = null,
CvMat varType = null,
CvMat missingMask = null,
CvBoostParams 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 CvBoostParams();
}
ptr = NativeMethods.ml_CvBoost_new_CvMat(
trainData.CvPtr,
(int)tflag,
responses.CvPtr,
Cv2.ToPtr(varIdx),
Cv2.ToPtr(sampleIdx),
Cv2.ToPtr(varType),
Cv2.ToPtr(missingMask),
param.CvPtr
);
}
/// <summary>
/// ブーストされた分類器の学習
/// </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>
/// <param name="update"></param>
/// <returns></returns>
#else
/// <summary>
/// Trains boosted tree classifier
/// </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>
/// <param name="update"></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,
CvBoostParams param = null,
bool update = false)
{
if (trainData == null)
throw new ArgumentNullException("trainData");
if (responses == null)
throw new ArgumentNullException("responses");
trainData.ThrowIfDisposed();
responses.ThrowIfDisposed();
if (param == null)
param = new CvBoostParams();
int ret = NativeMethods.ml_CvBoost_train_Mat(
ptr,
trainData.CvPtr,
(int)tflag,
responses.CvPtr,
Cv2.ToPtr(varIdx),
Cv2.ToPtr(sampleIdx),
Cv2.ToPtr(varType),
Cv2.ToPtr(missingMask),
param.CvPtr,
update ? 1 : 0);
return ret != 0;
}