add part of opencv

Lib/opencv/sources/modules/ml/misc/java/test/MLTest.java

@@ -0,0 +1,42 @@
+package org.opencv.test.ml;
+
+import org.opencv.ml.Ml;
+import org.opencv.ml.SVM;
+import org.opencv.core.Mat;
+import org.opencv.core.MatOfFloat;
+import org.opencv.core.MatOfInt;
+import org.opencv.core.CvType;
+import org.opencv.test.OpenCVTestCase;
+import org.opencv.test.OpenCVTestRunner;
+
+public class MLTest extends OpenCVTestCase {
+
+    public void testSaveLoad() {
+        Mat samples = new MatOfFloat(new float[] {
+            5.1f, 3.5f, 1.4f, 0.2f,
+            4.9f, 3.0f, 1.4f, 0.2f,
+            4.7f, 3.2f, 1.3f, 0.2f,
+            4.6f, 3.1f, 1.5f, 0.2f,
+            5.0f, 3.6f, 1.4f, 0.2f,
+            7.0f, 3.2f, 4.7f, 1.4f,
+            6.4f, 3.2f, 4.5f, 1.5f,
+            6.9f, 3.1f, 4.9f, 1.5f,
+            5.5f, 2.3f, 4.0f, 1.3f,
+            6.5f, 2.8f, 4.6f, 1.5f
+        }).reshape(1, 10);
+        Mat responses = new MatOfInt(new int[] {
+            0, 0, 0, 0, 0, 1, 1, 1, 1, 1
+        }).reshape(1, 10);
+        SVM saved = SVM.create();
+        assertFalse(saved.isTrained());
+
+        saved.train(samples, Ml.ROW_SAMPLE, responses);
+        assertTrue(saved.isTrained());
+
+        String filename = OpenCVTestRunner.getTempFileName("yml");
+        saved.save(filename);
+        SVM loaded = SVM.load(filename);
+        assertTrue(saved.isTrained());
+    }
+
+}