all: remove any usage of debug.Value in all packages

Using global debug value for all packages turns out is not a good
idea.

1 files changed, 0 insertions, 54 deletions

diff --git a/lib/mining/classifier/cart/cart.go b/lib/mining/classifier/cart/cart.go
index 4ee79198..99eb5b5d 100644
--- a/lib/mining/classifier/cart/cart.go
+++ b/lib/mining/classifier/cart/cart.go
@@ -17,7 +17,6 @@ package cart
 import (
 	"fmt"
 
-	"github.com/shuLhan/share/lib/debug"
 	"github.com/shuLhan/share/lib/mining/gain/gini"
 	"github.com/shuLhan/share/lib/mining/tree/binary"
 	"github.com/shuLhan/share/lib/numbers"
@@ -105,11 +104,6 @@ func (runtime *Runtime) splitTreeByGain(claset tabula.ClasetInterface) (
 	nrow := claset.GetNRow()
 
 	if nrow <= 0 {
-		if debug.Value >= 2 {
-			fmt.Printf("[cart] empty dataset (%s) : %v\n",
-				claset.MajorityClass(), claset)
-		}
-
 		node.Value = NodeValue{
 			IsLeaf: true,
 			Class:  claset.MajorityClass(),
@@ -122,11 +116,6 @@ func (runtime *Runtime) splitTreeByGain(claset tabula.ClasetInterface) (
 	// is set to that class.
 	single, name := claset.IsInSingleClass()
 	if single {
-		if debug.Value >= 2 {
-			fmt.Printf("[cart] in single class (%s): %v\n", name,
-				claset.GetColumns())
-		}
-
 		node.Value = NodeValue{
 			IsLeaf: true,
 			Class:  name,
@@ -135,10 +124,6 @@ func (runtime *Runtime) splitTreeByGain(claset tabula.ClasetInterface) (
 		return node, nil
 	}
 
-	if debug.Value >= 2 {
-		fmt.Println("[cart] claset:", claset)
-	}
-
 	// calculate the Gini gain for each attribute.
 	gains := runtime.computeGain(claset)
 
@@ -149,12 +134,6 @@ func (runtime *Runtime) splitTreeByGain(claset tabula.ClasetInterface) (
 	// if maxgain value is 0, use majority class as node and terminate
 	// the process
 	if MaxGain.GetMaxGainValue() == 0 {
-		if debug.Value >= 2 {
-			fmt.Println("[cart] max gain 0 with target",
-				claset.GetClassAsStrings(),
-				" and majority class is ", claset.MajorityClass())
-		}
-
 		node.Value = NodeValue{
 			IsLeaf: true,
 			Class:  claset.MajorityClass(),
@@ -166,10 +145,6 @@ func (runtime *Runtime) splitTreeByGain(claset tabula.ClasetInterface) (
 	// using the sorted index in MaxGain, sort all field in dataset
 	tabula.SortColumnsByIndex(claset, MaxGain.SortedIndex)
 
-	if debug.Value >= 2 {
-		fmt.Println("[cart] maxgain:", MaxGain)
-	}
-
 	// Now that we have attribute with max gain in MaxGainIdx, and their
 	// gain dan partition value in Gains[MaxGainIdx] and
 	// GetMaxPartValue(), we split the dataset based on type of max-gain
@@ -187,11 +162,6 @@ func (runtime *Runtime) splitTreeByGain(claset tabula.ClasetInterface) (
 		splitV = attrSubV[0]
 	}
 
-	if debug.Value >= 2 {
-		fmt.Println("[cart] maxgainindex:", MaxGainIdx)
-		fmt.Println("[cart] split v:", splitV)
-	}
-
 	node.Value = NodeValue{
 		SplitAttrName: claset.GetColumn(MaxGainIdx).GetName(),
 		IsLeaf:        false,
@@ -286,11 +256,6 @@ func (runtime *Runtime) SelectRandomFeature(claset tabula.ClasetInterface) {
 		col := claset.GetColumn(idx)
 		col.Flag &^= ColFlagSkip
 	}
-
-	if debug.Value >= 1 {
-		fmt.Println("[cart] selected random features:", pickedIdx)
-		fmt.Println("[cart] selected columns        :", claset.GetColumns())
-	}
 }
 
 // computeGain calculate the gini index for each value in each attribute.
@@ -345,19 +310,10 @@ func (runtime *Runtime) computeGain(claset tabula.ClasetInterface) (
 			attr := col.ToStringSlice()
 			attrV := col.ValueSpace
 
-			if debug.Value >= 2 {
-				fmt.Println("[cart] attr :", attr)
-				fmt.Println("[cart] attrV:", attrV)
-			}
-
 			target := claset.GetClassAsStrings()
 			gains[x].ComputeDiscrete(&attr, &attrV, &target,
 				&classVS)
 		}
-
-		if debug.Value >= 2 {
-			fmt.Println("[cart] gain :", gains[x])
-		}
 	}
 	return gains
 }
@@ -415,11 +371,6 @@ func (runtime *Runtime) CountOOBError(oob tabula.Claset) (
 	// save the original target to be compared later.
 	origTarget := oob.GetClassAsStrings()
 
-	if debug.Value >= 2 {
-		fmt.Println("[cart] OOB:", oob.Columns)
-		fmt.Println("[cart] TREE:", &runtime.Tree)
-	}
-
 	// reset the target.
 	oobtarget := oob.GetClassColumn()
 	oobtarget.ClearValues()
@@ -434,11 +385,6 @@ func (runtime *Runtime) CountOOBError(oob tabula.Claset) (
 
 	target := oobtarget.ToStringSlice()
 
-	if debug.Value >= 2 {
-		fmt.Println("[cart] original target:", origTarget)
-		fmt.Println("[cart] classify target:", target)
-	}
-
 	// count how many target value is miss-classified.
 	runtime.OOBErrVal, _, _ = libstrings.CountMissRate(origTarget, target)