public static LogTableFactor makeFromValues (Variable var, double[] vals2) { return makeFromValues (new Variable[]{var}, vals2); }
public static LogTableFactor makeFromValues (Variable var, double[] vals2) { return makeFromValues (new Variable[]{var}, vals2); }
public void testTblTblPlusEquals () { Variable var = new Variable (4); double[] vals = new double[]{ 2.0, 4.0, 6.0, 8.0 }; double[] vals2 = new double [] { 0.25, 0.5, 0.75, 1.0 }; double[] vals3 = new double [] { 2.25, 4.5, 6.75, 9.0, }; LogTableFactor ans = LogTableFactor.makeFromValues (var, vals3); LogTableFactor ptl1 = LogTableFactor.makeFromValues (var, vals); LogTableFactor ptl2 = LogTableFactor.makeFromValues (var, vals2); ptl1.plusEquals (ptl2); assertTrue (ans.almostEquals (ptl1)); }
public void testTblTblPlusEquals () { Variable var = new Variable (4); double[] vals = new double[]{ 2.0, 4.0, 6.0, 8.0 }; double[] vals2 = new double [] { 0.25, 0.5, 0.75, 1.0 }; double[] vals3 = new double [] { 2.25, 4.5, 6.75, 9.0, }; LogTableFactor ans = LogTableFactor.makeFromValues (var, vals3); LogTableFactor ptl1 = LogTableFactor.makeFromValues (var, vals); LogTableFactor ptl2 = LogTableFactor.makeFromValues (var, vals2); ptl1.plusEquals (ptl2); assertTrue (ans.almostEquals (ptl1)); }
public void testRetainMass () { Variable v = new Variable (4); LogTableFactor ptl = LogTableFactor.makeFromValues (v, new double[] { 0.75, 0, 0.05, 0.2 }); TableFactor actual = Factors.retainMass (ptl, 0.9); System.out.println (actual); // comparePotentials (actual, new double[] { Math.log (0.75), Math.log (0.2) }); }
public void testRetainMass () { Variable v = new Variable (4); LogTableFactor ptl = LogTableFactor.makeFromValues (v, new double[] { 0.75, 0, 0.05, 0.2 }); TableFactor actual = Factors.retainMass (ptl, 0.9); System.out.println (actual); // comparePotentials (actual, new double[] { Math.log (0.75), Math.log (0.2) }); }
public void testTwoVarSlice () { double[] vals = { 0.0, 1, 2, 3, 4, 5, 6, 7 }; Variable v1 = new Variable (2); Variable v2 = new Variable (2); Variable v3 = new Variable (2); Variable[] vars = new Variable[]{v1, v2, v3}; Factor ptl = LogTableFactor.makeFromValues(vars, vals); Assignment assn = new Assignment (v3, 0); LogTableFactor sliced = (LogTableFactor) ptl.slice (assn); LogTableFactor expected = LogTableFactor.makeFromValues (new Variable[] { v1, v2 }, new double[] { 0, 2, 4, 6 }); comparePotentialValues (sliced, expected); }
public void testRecenter () { Variable var = new Variable (4); double[] vals = new double[]{ 2.0, 4.0, 6.0, 8.0 }; LogTableFactor ltbl1 = LogTableFactor.makeFromValues (var, vals); ltbl1.recenter (); double[] expected = new double[] { Math.log (0.25), Math.log(0.5), Math.log (0.75), 0 }; LogTableFactor ans = LogTableFactor.makeFromLogValues (var, expected); assertTrue ("Error: expected "+ans.dumpToString ()+"but was "+ltbl1.dumpToString (), ans.almostEquals (ltbl1)); }
public void testRecenter () { Variable var = new Variable (4); double[] vals = new double[]{ 2.0, 4.0, 6.0, 8.0 }; LogTableFactor ltbl1 = LogTableFactor.makeFromValues (var, vals); ltbl1.recenter (); double[] expected = new double[] { Math.log (0.25), Math.log(0.5), Math.log (0.75), 0 }; LogTableFactor ans = LogTableFactor.makeFromLogValues (var, expected); assertTrue ("Error: expected "+ans.dumpToString ()+"but was "+ltbl1.dumpToString (), ans.almostEquals (ltbl1)); }
public void testMix () { Variable var = new Variable (2); AbstractTableFactor tf = new TableFactor (var, new double[] { 0.3, 0.7 }); AbstractTableFactor ltf = LogTableFactor.makeFromValues (var, new double[] { 0.5, 0.5 }); Factor mix = Factors.mix (tf, ltf, 0.5); AbstractTableFactor ans = new TableFactor (var, new double[] { 0.4, 0.6 }); assertTrue (ans.almostEquals (mix)); }
public void testEntropy () { Variable v1 = new Variable (2); TableFactor ptl = new TableFactor (v1, new double[] { 0.3, 0.7 }); double entropy = ptl.entropy (); assertEquals (0.61086, entropy, 1e-3); LogTableFactor logFactor = LogTableFactor.makeFromValues (v1, new double[] { 0.3, 0.7 }); double entropy2 = logFactor.entropy (); assertEquals (0.61086, entropy2, 1e-3); }
public void testEntropyLogSpace () { Variable v1 = new Variable (2); TableFactor ptl = new TableFactor (v1, new double[] { 0.3, 0.7 }); double entropy = ptl.entropy (); assertEquals (0.61086, entropy, 1e-3); LogTableFactor ptl2 = LogTableFactor.makeFromValues (v1, new double[] { 0.3, 0.7 }); double entropy2 = ptl2.entropy (); assertEquals (0.61086, entropy2, 1e-3); }
public void testMix () { Variable var = new Variable (2); AbstractTableFactor tf = new TableFactor (var, new double[] { 0.3, 0.7 }); AbstractTableFactor ltf = LogTableFactor.makeFromValues (var, new double[] { 0.5, 0.5 }); Factor mix = Factors.mix (tf, ltf, 0.5); AbstractTableFactor ans = new TableFactor (var, new double[] { 0.4, 0.6 }); assertTrue (ans.almostEquals (mix)); }
public void testEntropyLogSpace () { Variable v1 = new Variable (2); TableFactor ptl = new TableFactor (v1, new double[] { 0.3, 0.7 }); double entropy = ptl.entropy (); assertEquals (0.61086, entropy, 1e-3); LogTableFactor ptl2 = LogTableFactor.makeFromValues (v1, new double[] { 0.3, 0.7 }); double entropy2 = ptl2.entropy (); assertEquals (0.61086, entropy2, 1e-3); }
public void testTimesTableFactor () { Variable var = new Variable (4); double[] vals = new double[]{ 2.0, 4.0, 6.0, 8.0 }; double[] vals2 = new double [] { 0.5, 0.5, 0.5, 0.5 }; double[] vals3 = new double [] { 1, 2, 3, 4, }; TableFactor ans = new TableFactor (var, vals3); TableFactor ptl1 = new TableFactor (var, vals); LogTableFactor lptl2 = LogTableFactor.makeFromValues (var, vals2); ptl1.multiplyBy (lptl2); assertTrue (ans.almostEquals (ptl1)); }
public void testSparseMarginalizeLogSpace () { Variable[] vars = new Variable[] { new Variable (2), new Variable (2) }; int[] szs = { 2, 2 }; int[] idxs1 = new int[] { 0, 1, 3 }; double[] vals1 = new double[]{ 2.0, 4.0, 8.0 }; LogTableFactor ptl1 = LogTableFactor.makeFromMatrix (vars, new SparseMatrixn (szs, idxs1, vals1)); LogTableFactor ans = LogTableFactor.makeFromValues (vars[0], new double[] { 6, 8 }); Factor ptl2 = ptl1.marginalize (vars[0]); assertTrue ("Tast failed! Expected: "+ans+" Actual: "+ptl2+" Orig: "+ptl1, ans.almostEquals (ptl2)); }
public void testSparseMarginalizeLogSpace () { Variable[] vars = new Variable[] { new Variable (2), new Variable (2) }; int[] szs = { 2, 2 }; int[] idxs1 = new int[] { 0, 1, 3 }; double[] vals1 = new double[]{ 2.0, 4.0, 8.0 }; LogTableFactor ptl1 = LogTableFactor.makeFromMatrix (vars, new SparseMatrixn (szs, idxs1, vals1)); LogTableFactor ans = LogTableFactor.makeFromValues (vars[0], new double[] { 6, 8 }); Factor ptl2 = ptl1.marginalize (vars[0]); assertTrue ("Tast failed! Expected: "+ans+" Actual: "+ptl2+" Orig: "+ptl1, ans.almostEquals (ptl2)); }
public void testOneVarSlice () { double[] vals = { 0.0, 1.3862943611198906, 0.6931471805599453, 1.791759469228055 }; Variable v1 = new Variable (2); Variable v2 = new Variable (2); Variable[] vars = new Variable[]{v1, v2}; Factor ptl = LogTableFactor.makeFromLogValues(vars, vals); Assignment assn = new Assignment (v1, 0); LogTableFactor sliced = (LogTableFactor) ptl.slice (assn); LogTableFactor expected = LogTableFactor.makeFromValues (v2, new double[] { 1.0, 4.0 }); comparePotentialValues (sliced, expected); assertEquals (1, assn.varSet ().size ()); }
public void testExtractMaxLogSpace () { Variable[] vars = new Variable[] { new Variable (2), new Variable (2) }; LogTableFactor ptl = LogTableFactor.makeFromValues (vars, new double[]{1, 2, 3, 4}); LogTableFactor ptl2 = (LogTableFactor) ptl.extractMax (vars[1]); assertEquals ("FAILURE: Potential has too many vars.\n "+ptl2, 1, ptl2.varSet ().size ()); assertTrue ("FAILURE: Potential does not contain "+vars[1]+":\n "+ptl2, ptl2.varSet ().contains (vars[1])); double[] expected = new double[] { 3, 4 }; assertTrue ("FAILURE: Potential has incorrect values. Expected "+ArrayUtils.toString (expected)+"was "+ptl2, Maths.almostEquals (ptl2.toValueArray (), expected, 1e-5)); }
public void testExtractMaxLogSpace () { Variable[] vars = new Variable[] { new Variable (2), new Variable (2) }; LogTableFactor ptl = LogTableFactor.makeFromValues (vars, new double[]{1, 2, 3, 4}); LogTableFactor ptl2 = (LogTableFactor) ptl.extractMax (vars[1]); assertEquals ("FAILURE: Potential has too many vars.\n "+ptl2, 1, ptl2.varSet ().size ()); assertTrue ("FAILURE: Potential does not contain "+vars[1]+":\n "+ptl2, ptl2.varSet ().contains (vars[1])); double[] expected = new double[] { 3, 4 }; assertTrue ("FAILURE: Potential has incorrect values. Expected "+ArrayUtils.toString (expected)+"was "+ptl2, Maths.almostEquals (ptl2.toValueArray (), expected, 1e-5)); }