From fb9b306c18aca0b93b492f8324b921ecc4a353af Mon Sep 17 00:00:00 2001
From: linlin <jajupmochi@gmail.com>
Date: Tue, 6 Oct 2020 17:27:41 +0200
Subject: [PATCH] New translations svm_model.java (French)

---
 .../lib/libsvm.3.22/java/libsvm/svm_model.java     | 22 ++++++++++++++++++++++
 1 file changed, 22 insertions(+)
 create mode 100644 lang/fr/gklearn/gedlib/lib/libsvm.3.22/java/libsvm/svm_model.java

diff --git a/lang/fr/gklearn/gedlib/lib/libsvm.3.22/java/libsvm/svm_model.java b/lang/fr/gklearn/gedlib/lib/libsvm.3.22/java/libsvm/svm_model.java
new file mode 100644
index 0000000..a38be3f
--- /dev/null
+++ b/lang/fr/gklearn/gedlib/lib/libsvm.3.22/java/libsvm/svm_model.java
@@ -0,0 +1,22 @@
+//
+// svm_model
+//
+package libsvm;
+public class svm_model implements java.io.Serializable
+{
+	public svm_parameter param;	// parameter
+	public int nr_class;		// number of classes, = 2 in regression/one class svm
+	public int l;			// total #SV
+	public svm_node[][] SV;	// SVs (SV[l])
+	public double[][] sv_coef;	// coefficients for SVs in decision functions (sv_coef[k-1][l])
+	public double[] rho;		// constants in decision functions (rho[k*(k-1)/2])
+	public double[] probA;         // pariwise probability information
+	public double[] probB;
+	public int[] sv_indices;       // sv_indices[0,...,nSV-1] are values in [1,...,num_traning_data] to indicate SVs in the training set
+
+	// for classification only
+
+	public int[] label;		// label of each class (label[k])
+	public int[] nSV;		// number of SVs for each class (nSV[k])
+				// nSV[0] + nSV[1] + ... + nSV[k-1] = l
+};