public void TestNlClassify()
{
var advancedClassify = new AdvancedClassify();
var agesOnly = advancedClassify.LoadMatch(@"TestData\agesonly.csv", true);
var offset = advancedClassify.GetOffset(agesOnly);
TestOutput(advancedClassify.NlClassify(new[] { 30.0, 30 }, agesOnly, offset));
TestOutput(advancedClassify.NlClassify(new[] { 30.0, 25 }, agesOnly, offset));
TestOutput(advancedClassify.NlClassify(new[] { 25.0, 40 }, agesOnly, offset));
TestOutput(advancedClassify.NlClassify(new[] { 48.0, 20 }, agesOnly, offset));
}
public void TestNlClassifyMore()
{
var advancedClassify = new AdvancedClassify();
var numericalset = advancedClassify.LoadNumerical();
var result = advancedClassify.ScaleData(numericalset);
var scaledSet = result.Item1;
var scalef = result.Item2;
var ssoffset = advancedClassify.GetOffset(scaledSet);
TestOutput(numericalset[0].Match);
TestOutput(advancedClassify.NlClassify(scalef(numericalset[0].NumData), scaledSet, ssoffset));
TestOutput(numericalset[1].Match);
TestOutput(advancedClassify.NlClassify(scalef(numericalset[1].NumData), scaledSet, ssoffset));
TestOutput(numericalset[2].Match);
TestOutput(advancedClassify.NlClassify(scalef(numericalset[2].NumData), scaledSet, ssoffset));
var newrow = new[] { 28, -1, -1, 26, -1, 1, 2, 0.8 };//男士不想要小孩，而女士想要
TestOutput(advancedClassify.NlClassify(scalef(newrow), scaledSet, ssoffset));
newrow = new[] { 28, -1, 1, 26, -1, 1, 2, 0.8 };//双方都想要小孩
TestOutput(advancedClassify.NlClassify(scalef(newrow), scaledSet, ssoffset));
}