/// <summary>
/// Selects an optimal combination of features to classify the provided data.
/// Instance represents: Handle of the training data.
/// </summary>
/// <param name="selectionMethod">Method to perform the selection. Default: "greedy"</param>
/// <param name="genParamName">Names of generic parameters to configure the selection process and the classifier. Default: []</param>
/// <param name="genParamValue">Values of generic parameters to configure the selection process and the classifier. Default: []</param>
/// <param name="selectedFeatureIndices">The selected feature set, contains indices referring.</param>
/// <param name="score">The achieved score using two-fold cross-validation.</param>
/// <returns>A trained MLP classifier using only the selected features.</returns>
public HClassMlp SelectFeatureSetMlp(
string selectionMethod,
string genParamName,
double genParamValue,
out HTuple selectedFeatureIndices,
out HTuple score)
{
IntPtr proc = HalconAPI.PreCall(1799);
this.Store(proc, 0);
HalconAPI.StoreS(proc, 1, selectionMethod);
HalconAPI.StoreS(proc, 2, genParamName);
HalconAPI.StoreD(proc, 3, genParamValue);
HalconAPI.InitOCT(proc, 0);
HalconAPI.InitOCT(proc, 1);
HalconAPI.InitOCT(proc, 2);
int err1 = HalconAPI.CallProcedure(proc);
HClassMlp hclassMlp;
int err2 = HClassMlp.LoadNew(proc, 0, err1, out hclassMlp);
int err3 = HTuple.LoadNew(proc, 1, err2, out selectedFeatureIndices);
int procResult = HTuple.LoadNew(proc, 2, HTupleType.DOUBLE, err3, out score);
HalconAPI.PostCall(proc, procResult);
GC.KeepAlive((object)this);
return(hclassMlp);
}
public static HClassMlp Deserialize(Stream stream)
{
HClassMlp hclassMlp = new HClassMlp();
hclassMlp.DeserializeClassMlp(HSerializedItem.Deserialize(stream));
return(hclassMlp);
}
public HClassMlp Clone()
{
HSerializedItem serializedItemHandle = this.SerializeClassMlp();
HClassMlp hclassMlp = new HClassMlp();
hclassMlp.DeserializeClassMlp(serializedItemHandle);
serializedItemHandle.Dispose();
return(hclassMlp);
}
/// <summary>
/// Add training data to a multilayer perceptron (MLP).
/// Instance represents: Training data for a classifier.
/// </summary>
/// <param name="MLPHandle">MLP handle which receives the training data.</param>
public void AddClassTrainDataMlp(HClassMlp MLPHandle)
{
IntPtr proc = HalconAPI.PreCall(1788);
this.Store(proc, 1);
HalconAPI.Store(proc, 0, (HTool)MLPHandle);
int procResult = HalconAPI.CallProcedure(proc);
HalconAPI.PostCall(proc, procResult);
GC.KeepAlive((object)this);
GC.KeepAlive((object)MLPHandle);
}
internal static int LoadNew(IntPtr proc, int parIndex, int err, out HClassMlp[] obj)
{
HTuple tuple;
err = HTuple.LoadNew(proc, parIndex, err, out tuple);
obj = new HClassMlp[tuple.Length];
for (int index = 0; index < tuple.Length; ++index)
{
obj[index] = new HClassMlp(tuple[index].IP);
}
return(err);
}
/// <summary>
/// Get the training data of a multilayer perceptron (MLP).
/// Modified instance represents: Handle of the training data of the classifier.
/// </summary>
/// <param name="MLPHandle">Handle of a MLP that contains training data.</param>
public void GetClassTrainDataMlp(HClassMlp MLPHandle)
{
this.Dispose();
IntPtr proc = HalconAPI.PreCall(1787);
HalconAPI.Store(proc, 0, (HTool)MLPHandle);
HalconAPI.InitOCT(proc, 0);
int err = HalconAPI.CallProcedure(proc);
int procResult = this.Load(proc, 0, err);
HalconAPI.PostCall(proc, procResult);
GC.KeepAlive((object)this);
GC.KeepAlive((object)MLPHandle);
}
/// <summary>
/// Create a look-up table using a multi-layer perceptron to classify byte images.
/// Modified instance represents: Handle of the LUT classifier.
/// </summary>
/// <param name="MLPHandle">MLP handle.</param>
/// <param name="genParamName">Names of the generic parameters that can be adjusted for the LUT classifier creation. Default: []</param>
/// <param name="genParamValue">Values of the generic parameters that can be adjusted for the LUT classifier creation. Default: []</param>
public HClassLUT(HClassMlp MLPHandle, HTuple genParamName, HTuple genParamValue)
{
IntPtr proc = HalconAPI.PreCall(1822);
HalconAPI.Store(proc, 0, (HTool)MLPHandle);
HalconAPI.Store(proc, 1, genParamName);
HalconAPI.Store(proc, 2, genParamValue);
HalconAPI.InitOCT(proc, 0);
int err = HalconAPI.CallProcedure(proc);
HalconAPI.UnpinTuple(genParamName);
HalconAPI.UnpinTuple(genParamValue);
int procResult = this.Load(proc, 0, err);
HalconAPI.PostCall(proc, procResult);
GC.KeepAlive((object)this);
GC.KeepAlive((object)MLPHandle);
}
internal static int LoadNew(IntPtr proc, int parIndex, int err, out HClassMlp obj)
{
obj = new HClassMlp(HTool.UNDEF);
return(obj.Load(proc, parIndex, err));
}
