/// <summary>
/// 決定木を学習する
/// </summary>
/// <param name="trainData"></param>
/// <param name="subsampleIdx"></param>
/// <returns></returns>
#else
/// <summary>
/// Trains decision tree
/// </summary>
/// <param name="trainData"></param>
/// <param name="subsampleIdx"></param>
/// <returns></returns>
#endif
public virtual bool Train(CvDTreeTrainData trainData, CvMat subsampleIdx)
{
if (trainData == null)
{
throw new ArgumentNullException(nameof(trainData));
}
if (subsampleIdx == null)
{
throw new ArgumentNullException(nameof(subsampleIdx));
}
return(NativeMethods.ml_CvDTree_train2(
ptr, trainData.CvPtr, subsampleIdx.CvPtr) != 0);
}
/// <summary>
/// 決定木を学習する
/// </summary>
/// <param name="trainData"></param>
/// <param name="subsampleIdx"></param>
/// <param name="ensemble"></param>
/// <returns></returns>
#else
/// <summary>
/// Trains decision tree
/// </summary>
/// <param name="trainData"></param>
/// <param name="subsampleIdx"></param>
/// <param name="ensemble"></param>
/// <returns></returns>
#endif
public virtual bool Train(CvDTreeTrainData trainData, CvMat subsampleIdx, CvBoost ensemble)
{
if (trainData == null)
{
throw new ArgumentNullException("trainData");
}
if (subsampleIdx == null)
{
throw new ArgumentNullException("subsampleIdx");
}
return(NativeMethods.ml_CvBoostTree_train(
ptr, trainData.CvPtr, subsampleIdx.CvPtr, Cv2.ToPtr(ensemble)) != 0);
}
/// <summary>
/// ファイルストレージからモデルを読み込む
/// </summary>
/// <param name="fs"></param>
/// <param name="node"></param>
/// <param name="data"></param>
#else
/// <summary>
/// Reads the model from file storage
/// </summary>
/// <param name="fs"></param>
/// <param name="node"></param>
/// <param name="data"></param>
#endif
public virtual void Read(CvFileStorage fs, CvFileNode node, CvDTreeTrainData data)
{
if (fs == null)
{
throw new ArgumentNullException(nameof(fs));
}
if (node == null)
{
throw new ArgumentNullException(nameof(node));
}
if (data == null)
{
throw new ArgumentNullException(nameof(data));
}
NativeMethods.ml_CvDTree_read(ptr, fs.CvPtr, node.CvPtr, data.CvPtr);
}
/// <summary>
///
/// </summary>
/// <param name="trainData"></param>
/// <param name="subsampleIdx"></param>
/// <param name="forest"></param>
/// <returns></returns>
#else
/// <summary>
///
/// </summary>
/// <param name="trainData"></param>
/// <param name="subsampleIdx"></param>
/// <param name="forest"></param>
/// <returns></returns>
#endif
public virtual bool Train(CvDTreeTrainData trainData, CvMat subsampleIdx, CvRTrees forest)
{
if (trainData == null)
{
throw new ArgumentNullException("trainData");
}
if (subsampleIdx == null)
{
throw new ArgumentNullException("subsampleIdx");
}
if (forest == null)
{
throw new ArgumentNullException("forest");
}
return(NativeMethods.ml_CvForestTree_train(
ptr, trainData.CvPtr, subsampleIdx.CvPtr, forest.CvPtr) != 0);
}
/// <summary>
///
/// </summary>
/// <param name="fs"></param>
/// <param name="node"></param>
/// <param name="forest"></param>
/// <param name="data"></param>
#else
/// <summary>
///
/// </summary>
/// <param name="fs"></param>
/// <param name="node"></param>
/// <param name="forest"></param>
/// <param name="data"></param>
#endif
public virtual void Read(CvFileStorage fs, CvFileNode node, CvRTrees forest, CvDTreeTrainData data)
{
if (fs == null)
{
throw new ArgumentNullException("fs");
}
if (node == null)
{
throw new ArgumentNullException("node");
}
if (forest == null)
{
throw new ArgumentNullException("forest");
}
if (data == null)
{
throw new ArgumentNullException("data");
}
NativeMethods.ml_CvForestTree_read(
ptr, fs.CvPtr, node.CvPtr, forest.CvPtr, data.CvPtr);
}
/// <summary>
///
/// </summary>
/// <param name="fs"></param>
/// <param name="node"></param>
/// <param name="ensemble"></param>
/// <param name="data"></param>
#else
/// <summary>
///
/// </summary>
/// <param name="fs"></param>
/// <param name="node"></param>
/// <param name="ensemble"></param>
/// <param name="data"></param>
#endif
public virtual void Read(CvFileStorage fs, CvFileNode node, CvBoost ensemble, CvDTreeTrainData data)
{
if (fs == null)
throw new ArgumentNullException("fs");
if (node == null)
throw new ArgumentNullException("node");
if (ensemble == null)
throw new ArgumentNullException("ensemble");
if (data == null)
throw new ArgumentNullException("data");
NativeMethods.ml_CvBoostTree_read(
ptr, fs.CvPtr, node.CvPtr, ensemble.CvPtr, data.CvPtr);
}
/// <summary>
/// 決定木を学習する
/// </summary>
/// <param name="trainData"></param>
/// <param name="subsampleIdx"></param>
/// <param name="ensemble"></param>
/// <returns></returns>
#else
/// <summary>
/// Trains decision tree
/// </summary>
/// <param name="trainData"></param>
/// <param name="subsampleIdx"></param>
/// <param name="ensemble"></param>
/// <returns></returns>
#endif
public virtual bool Train(CvDTreeTrainData trainData, CvMat subsampleIdx, CvBoost ensemble)
{
if (trainData == null)
throw new ArgumentNullException("trainData");
if (subsampleIdx == null)
throw new ArgumentNullException("subsampleIdx");
return NativeMethods.ml_CvBoostTree_train(
ptr, trainData.CvPtr, subsampleIdx.CvPtr, Cv2.ToPtr(ensemble)) != 0;
}
/// <summary>
///
/// </summary>
/// <param name="fs"></param>
/// <param name="node"></param>
/// <param name="ensemble"></param>
/// <param name="data"></param>
#else
/// <summary>
///
/// </summary>
/// <param name="fs"></param>
/// <param name="node"></param>
/// <param name="ensemble"></param>
/// <param name="data"></param>
#endif
public virtual void Read(CvFileStorage fs, CvFileNode node, CvBoost ensemble, CvDTreeTrainData data)
{
if (fs == null)
{
throw new ArgumentNullException("fs");
}
if (node == null)
{
throw new ArgumentNullException("node");
}
if (ensemble == null)
{
throw new ArgumentNullException("ensemble");
}
if (data == null)
{
throw new ArgumentNullException("data");
}
NativeMethods.ml_CvBoostTree_read(
ptr, fs.CvPtr, node.CvPtr, ensemble.CvPtr, data.CvPtr);
}
/// <summary>
///
/// </summary>
/// <param name="fs"></param>
/// <param name="node"></param>
/// <param name="forest"></param>
/// <param name="data"></param>
#else
/// <summary>
///
/// </summary>
/// <param name="fs"></param>
/// <param name="node"></param>
/// <param name="forest"></param>
/// <param name="data"></param>
#endif
public virtual void Read(CvFileStorage fs, CvFileNode node, CvRTrees forest, CvDTreeTrainData data)
{
if (fs == null)
throw new ArgumentNullException("fs");
if (node == null)
throw new ArgumentNullException("node");
if (forest == null)
throw new ArgumentNullException("forest");
if (data == null)
throw new ArgumentNullException("data");
NativeMethods.ml_CvForestTree_read(
ptr, fs.CvPtr, node.CvPtr, forest.CvPtr, data.CvPtr);
}
/// <summary>
///
/// </summary>
/// <param name="trainData"></param>
/// <param name="subsampleIdx"></param>
/// <param name="forest"></param>
/// <returns></returns>
#else
/// <summary>
///
/// </summary>
/// <param name="trainData"></param>
/// <param name="subsampleIdx"></param>
/// <param name="forest"></param>
/// <returns></returns>
#endif
public virtual bool Train( CvDTreeTrainData trainData, CvMat subsampleIdx, CvRTrees forest )
{
if (trainData == null)
throw new ArgumentNullException("trainData");
if (subsampleIdx == null)
throw new ArgumentNullException("subsampleIdx");
if (forest == null)
throw new ArgumentNullException("forest");
return NativeMethods.ml_CvForestTree_train(
ptr, trainData.CvPtr, subsampleIdx.CvPtr, forest.CvPtr) != 0;
}
