new

frontend/src/components/Main.vue

@@ -709,7 +709,6 @@ export default Vue.extend({
     EventBus.$on('OpenModal', data =>{ flagLocalSkip = false }) 
     for (i = 0; i < coll.length; i++) {
       coll[i].addEventListener("click", function() {
-        console.log(flagLocalSkip)
         if (flagLocalSkip) {
           var content = document.getElementsByClassName("content")
           var value = "370px"

frontend/src/components/Results.vue

@@ -83,7 +83,6 @@ export default {
       } else {
 
       }
-      console.log(this.valuesGlobal)
       var toWhichTrans = this.historyKey
       var toWhichPosition = this.whereIsChange
       var counterSet = -1

run.py

@@ -536,8 +536,6 @@ def executeModel(exeCall, flagEx, nodeTransfName):
 
     columnsNames = []
     scores = []
-    print(exeCall)
-    print(flagEx)
     if (len(exeCall) == 0):
         if (flagEx == 3):
             XDataStored = XData.copy()
@@ -577,9 +575,6 @@ def executeModel(exeCall, flagEx, nodeTransfName):
         estimator = XGBClassifier(n_estimators=int(bestParams.get('n_estimators')), eta=bestParams.get('eta'), max_depth=int(bestParams.get('max_depth')), probability=True, random_state=RANDOM_SEED, silent=True, verbosity = 0, use_label_encoder=False)
         columnsNewGen = OrignList
 
-
-    print(columnsNewGen)
-
     if (len(exeCall) != 0):
         if (flagEx == 1):
             currentColumnsDeleted = []
@@ -688,10 +683,6 @@ def executeModel(exeCall, flagEx, nodeTransfName):
                 else:
                     columnsNames.append(splittedCol[0]+'_'+tran)
     featureImportanceData = estimatorFeatureSelection(XDataNoRemoval, estimator)
-    print(XData)
-    print(XDataStored)
-    print(XDataStoredOriginal.columns)
-    print(XDataNoRemoval)
 
     tracker = []
     for value in columnsNewGen:
@@ -700,14 +691,6 @@ def executeModel(exeCall, flagEx, nodeTransfName):
             tracker.append(value[1])
         else:
             tracker.append(value[0])
-    print(tracker)
-
-    # for ind, col in enumerate(tracker):
-    #     for value in XDataStoredOriginal.columns.values.tolist():
-    #         if col in value:
-    #             tracker[ind] = tracker[ind].replace(col, value)
-    #         else:
-    #             break
             
     estimator.fit(XData, yData)
     yPredict = estimator.predict(XData)