func TestCART(t *testing.T) {
fds := "../../testdata/iris/iris.dsv"
ds := tabula.Claset{}
_, e := dsv.SimpleRead(fds, &ds)
if nil != e {
t.Fatal(e)
}
fmt.Println("[cart_test] class index:", ds.GetClassIndex())
// copy target to be compared later.
targetv := ds.GetClassAsStrings()
assert(t, NRows, ds.GetNRow(), true)
// Build CART tree.
CART, e := cart.New(&ds, cart.SplitMethodGini, 0)
if e != nil {
t.Fatal(e)
}
fmt.Println("[cart_test] CART Tree:\n", CART)
// Create test set
testset := tabula.Claset{}
_, e = dsv.SimpleRead(fds, &testset)
if nil != e {
t.Fatal(e)
}
testset.GetClassColumn().ClearValues()
// Classifiy test set
e = CART.ClassifySet(&testset)
if nil != e {
t.Fatal(e)
}
assert(t, targetv, testset.GetClassAsStrings(), true)
}
func TestReaderWithClaset(t *testing.T) {
fcfg := "testdata/claset.dsv"
claset := tabula.Claset{}
_, e := dsv.NewReader(fcfg, &claset)
if e != nil {
t.Fatal(e)
}
assert(t, 3, claset.GetClassIndex(), true)
claset.SetMajorityClass("regular")
claset.SetMinorityClass("vandalism")
clone := claset.Clone().(tabula.ClasetInterface)
assert(t, 3, clone.GetClassIndex(), true)
assert(t, "regular", clone.MajorityClass(), true)
assert(t, "vandalism", clone.MinorityClass(), true)
}
func main() {
defer un(trace("cart"))
flag.Parse()
if len(flag.Args()) <= 0 {
usage()
os.Exit(1)
}
fcfg := flag.Arg(0)
// Parsing config file and check command parameter values.
cartrt, e := createCart(fcfg)
if e != nil {
panic(e)
}
// Get dataset
dataset := tabula.Claset{}
_, e = dsv.SimpleRead(fcfg, &dataset)
if e != nil {
panic(e)
}
if DEBUG >= 1 {
fmt.Printf("[cart] Class index: %v\n", dataset.GetClassIndex())
}
e = cartrt.Build(&dataset)
if e != nil {
panic(e)
}
if DEBUG >= 1 {
fmt.Println("[cart] CART tree:\n", cartrt)
}
}
func getSamples() (train, test tabula.ClasetInterface) {
samples := tabula.Claset{}
_, e := dsv.SimpleRead(SampleDsvFile, &samples)
if nil != e {
log.Fatal(e)
}
if !DoTest {
return &samples, nil
}
ntrain := int(float32(samples.Len()) * (float32(NBootstrap) / 100.0))
bag, oob, _, _ := tabula.RandomPickRows(&samples, ntrain, false)
train = bag.(tabula.ClasetInterface)
test = oob.(tabula.ClasetInterface)
train.SetClassIndex(samples.GetClassIndex())
test.SetClassIndex(samples.GetClassIndex())
return train, test
}