diff --git a/.gitignore b/.gitignore
index bf5e568..1b970cd 100644
--- a/.gitignore
+++ b/.gitignore
@@ -6,3 +6,4 @@
 
 /target
 /data
+*~
\ No newline at end of file
diff --git a/bin/build b/bin/build
new file mode 100755
index 0000000..e7b77ce
--- /dev/null
+++ b/bin/build
@@ -0,0 +1,3 @@
+#!/bin/bash
+
+java $SBT_OPTS -Dfile.encoding=UTF-8 -Xss4M -Xmx1024M -XX:MaxPermSize=256M -XX:NewSize=128M -XX:NewRatio=3 -jar `dirname $0`/sbt-launch.jar "$@"
diff --git a/bin/sbt-launch.jar b/bin/sbt-launch.jar
new file mode 100644
index 0000000..7492920
Binary files /dev/null and b/bin/sbt-launch.jar differ
diff --git a/build.sbt b/build.sbt
new file mode 100644
index 0000000..484abad
--- /dev/null
+++ b/build.sbt
@@ -0,0 +1,7 @@
+name := "liblinear"
+
+version := "1.91-tempest"
+
+organization := "de.bwaldvogel"
+
+crossPaths := false
diff --git a/src/main/java/de/bwaldvogel/liblinear/Function.java b/src/main/java/de/bwaldvogel/liblinear/Function.java
index 2ad02f9..2f70df8 100644
--- a/src/main/java/de/bwaldvogel/liblinear/Function.java
+++ b/src/main/java/de/bwaldvogel/liblinear/Function.java
@@ -1,7 +1,7 @@
 package de.bwaldvogel.liblinear;
 
 // origin: tron.h
-interface Function {
+public interface Function {
 
     double fun(double[] w);
 
diff --git a/src/main/java/de/bwaldvogel/liblinear/L2R_LrFunction.java b/src/main/java/de/bwaldvogel/liblinear/L2R_LrFunction.java
index 6b58ae0..596e5e4 100644
--- a/src/main/java/de/bwaldvogel/liblinear/L2R_LrFunction.java
+++ b/src/main/java/de/bwaldvogel/liblinear/L2R_LrFunction.java
@@ -1,6 +1,6 @@
 package de.bwaldvogel.liblinear;
 
-class L2R_LrFunction implements Function {
+public class L2R_LrFunction implements Function {
 
     private final double[] C;
     private final double[] z;
diff --git a/src/main/java/de/bwaldvogel/liblinear/Linear.java b/src/main/java/de/bwaldvogel/liblinear/Linear.java
index 27cc955..05285e1 100644
--- a/src/main/java/de/bwaldvogel/liblinear/Linear.java
+++ b/src/main/java/de/bwaldvogel/liblinear/Linear.java
@@ -90,12 +90,12 @@ public static void crossValidation(Problem prob, Parameter param, int nr_fold, d
     }
 
     /** used as complex return type */
-    private static class GroupClassesReturn {
+    public static class GroupClassesReturn {
 
-        final int[] count;
-        final int[] label;
-        final int   nr_class;
-        final int[] start;
+        public final int[] count;
+        public final int[] label;
+        public final int   nr_class;
+        public final int[] start;
 
         GroupClassesReturn( int nr_class, int[] label, int[] start, int[] count ) {
             this.nr_class = nr_class;
@@ -105,7 +105,7 @@ private static class GroupClassesReturn {
         }
     }
 
-    private static GroupClassesReturn groupClasses(Problem prob, int[] perm) {
+    public static GroupClassesReturn groupClasses(Problem prob, int[] perm) {
         int l = prob.l;
         int max_nr_class = 16;
         int nr_class = 0;
@@ -1746,7 +1746,7 @@ private static void checkProblemSize(int n, int nr_class) {
         }
     }
 
-    private static void train_one(Problem prob, Parameter param, double[] w, double Cp, double Cn) {
+    public static void train_one(Problem prob, Parameter param, double[] w, double Cp, double Cn) {
         double eps = param.eps;
         int pos = 0;
         for (int i = 0; i < prob.l; i++)
diff --git a/src/main/java/de/bwaldvogel/liblinear/Model.java b/src/main/java/de/bwaldvogel/liblinear/Model.java
index 280b134..aa382cc 100644
--- a/src/main/java/de/bwaldvogel/liblinear/Model.java
+++ b/src/main/java/de/bwaldvogel/liblinear/Model.java
@@ -19,19 +19,19 @@ public final class Model implements Serializable {
 
     private static final long serialVersionUID = -6456047576741854834L;
 
-    double                    bias;
+    public double                    bias;
 
     /** label of each class */
-    int[]                     label;
+    public int[]                     label;
 
-    int                       nr_class;
+    public int                       nr_class;
 
-    int                       nr_feature;
+    public int                       nr_feature;
 
-    SolverType                solverType;
+    public SolverType                solverType;
 
     /** feature weight array */
-    double[]                  w;
+    public double[]                  w;
 
     /**
      * @return number of classes
diff --git a/src/main/java/de/bwaldvogel/liblinear/Parameter.java b/src/main/java/de/bwaldvogel/liblinear/Parameter.java
index 46df099..68222e4 100644
--- a/src/main/java/de/bwaldvogel/liblinear/Parameter.java
+++ b/src/main/java/de/bwaldvogel/liblinear/Parameter.java
@@ -5,16 +5,16 @@
 
 public final class Parameter {
 
-    double     C;
+    public double     C;
 
     /** stopping criteria */
-    double     eps;
+    public double     eps;
 
-    SolverType solverType;
+    public SolverType solverType;
 
-    double[]   weight      = null;
+    public double[]   weight      = null;
 
-    int[]      weightLabel = null;
+    public int[]      weightLabel = null;
 
     double     p;
 
diff --git a/src/main/java/de/bwaldvogel/liblinear/Tron.java b/src/main/java/de/bwaldvogel/liblinear/Tron.java
index 23adf07..f30e745 100644
--- a/src/main/java/de/bwaldvogel/liblinear/Tron.java
+++ b/src/main/java/de/bwaldvogel/liblinear/Tron.java
@@ -5,7 +5,7 @@
 /**
  * Trust Region Newton Method optimization
  */
-class Tron {
+public class Tron {
 
     private final Function fun_obj;
 
@@ -27,7 +27,7 @@ public Tron( final Function fun_obj, double eps, int max_iter ) {
         this.max_iter = max_iter;
     }
 
-    void tron(double[] w) {
+    public void tron(double[] w) {
         // Parameters for updating the iterates.
         double eta0 = 1e-4, eta1 = 0.25, eta2 = 0.75;