func TestLNSmote(t *testing.T) {
// Read sample dataset.
dataset := tabula.Claset{}
_, e := dsv.SimpleRead(fcfg, &dataset)
if nil != e {
t.Fatal(e)
}
fmt.Println("[lnsmote_test] Total samples:", dataset.GetNRow())
// Write original samples.
writer, e := dsv.NewWriter("")
if nil != e {
t.Fatal(e)
}
e = writer.OpenOutput("phoneme_lnsmote.csv")
if e != nil {
t.Fatal(e)
}
sep := dsv.DefSeparator
_, e = writer.WriteRawRows(dataset.GetRows(), &sep)
if e != nil {
t.Fatal(e)
}
// Initialize LN-SMOTE.
lnsmoteRun := lnsmote.New(100, 5, 5, "1", "lnsmote.outliers")
e = lnsmoteRun.Resampling(&dataset)
fmt.Println("[lnsmote_test] # synthetic:", lnsmoteRun.Synthetics.Len())
sep = dsv.DefSeparator
_, e = writer.WriteRawRows(lnsmoteRun.Synthetics.GetRows(), &sep)
if e != nil {
t.Fatal(e)
}
e = writer.Close()
if e != nil {
t.Fatal(e)
}
}
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)
}