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This adds manually designed features to the OpenSeeData.

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This commit is contained in:
Emiliana 2020-03-01 14:23:56 +01:00
parent 7706372a7a
commit 04d7f5b8b3
7 changed files with 421 additions and 49 deletions
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8
Unity/Plugins/SVMModel.cs
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@ -118,10 +118,10 @@ public class SVMModel {
}
// features is a rows*cols long float array with rows written one after another. labels is a rows long float array with the corresponding classes as integral numbers from 0 to num_classes-1, where all classes have to exist. Training on more than 10000 rows is disabled.
public bool TrainModel(float[] features, float[] labels, int rows, int cols, int probability) {
public bool TrainModel(float[] features, float[] labels, int rows, int cols, int probability, float C) {
DestroyModel();
if (rows > 10000)
return false;
//if (rows > 10000)
// return false;
if (cols < 1 || rows < 1 || features.Length < rows * cols || labels.Length < rows)
return false;
@ -143,7 +143,7 @@ public class SVMModel {
maxClasses = max + 1;
this.cols = cols;
model = trainModel(features, labels, rows, cols, maxClasses, probability, 2f);
model = trainModel(features, labels, rows, cols, maxClasses, probability, C);
haveModel = true;
return true;