new

frontend/src/components/FeatureSpaceDetail.vue

@@ -832,7 +832,8 @@ export default {
         var VIFVar = JSON.parse(this.dataFS[23+this.quadrantNumber])
         var MIVar = JSON.parse(this.dataFS[28+this.quadrantNumber])
         MIVar = MIVar.concat(this.MIRemaining)
-        var colorCateg = d3.scaleOrdinal(d3.schemeDark2)
+        //var colorCateg = d3.scaleOrdinal(d3.schemeDark2)
+        var colorCateg = d3.scaleOrdinal().domain([0, 1, 2, 4]).range(['#808000','#7570b3','#1b9e77','#d95f02'])
 
         var corrTargetFormatted = []
         for (let i = 0; i < Object.keys(corrTarget).length; i++) {

frontend/src/components/FeatureSpaceOverview.vue

@@ -1185,8 +1185,8 @@ export default {
         
         var legendRectSize = 14;                                
         var legendSpacing = 3;                                    
-        var color = d3v5.scaleOrdinal(d3v5.schemeDark2)
         var labelsData = JSON.parse(this.overallData[1])
+        var color = d3v5.scaleOrdinal().domain(labelsData).range(['#808000','#7570b3','#1b9e77','#d95f02'])
 
         var svgLegend = d3v5.select('#legendTarget').append('svg')                    
             .attr('width', 130)
@@ -1199,7 +1199,7 @@ export default {
           .attr('class', 'legend')                                // NEW
           .attr('transform', function(d, i) {                     // NEW
             var height = legendRectSize + legendSpacing;          // NEW
-            var offset =  height * color.domain().length / 2;
+            var offset =  height * 0 / 2;
             var horz = 25     // NEW
             var vert = i * height - offset;                       // NEW
             return 'translate(' + horz + ',' + vert + ')';        // NEW
@@ -1208,14 +1208,14 @@ export default {
         legend.append('rect')                                    
           .attr('width', legendRectSize)               
           .attr('height', legendRectSize)                     
-          .style('fill', function (d) { return color(d) })
+          .style('fill', function (d) { var d_string = String(d); return color(d_string) })
           .style('opacity', "0.5");             
           
         legend.append('text')   
           .attr('class', 'legendLab')                               
           .attr('x', legendRectSize + legendSpacing)       
           .attr('y', legendRectSize - legendSpacing)      
-          .text(function(d) { return d; });       
+          .text(function(d) { return d; });    
       }
     },
   mounted () {

run.py

@@ -470,9 +470,11 @@ def dataSetSelection():
     XData, yData = ArrayDataResults, AllTargetsFloatValues
 
     global keepOriginalFeatures
+    global OrignList
     keepOriginalFeatures = XData.copy()
     keepOriginalFeatures.columns = [str(col) + ' F'+str(idx+1)+'' for idx, col in enumerate(keepOriginalFeatures.columns)]
     columnsNewGen = keepOriginalFeatures.columns.values.tolist()
+    OrignList = keepOriginalFeatures.columns.values.tolist()
 
     XData.columns = ['F'+str(idx+1) for idx, col in enumerate(XData.columns)]
 
@@ -526,6 +528,7 @@ def executeModel(exeCall, flagEx, nodeTransfName):
     global listofTransformations
     global XDataStoredOriginal
     global finalResultsData
+    global OrignList
     global tracker
 
     global XDataNoRemoval
@@ -539,11 +542,12 @@ def executeModel(exeCall, flagEx, nodeTransfName):
         if (flagEx == 3):
             XDataStored = XData.copy()
             XDataNoRemovalOrig = XDataNoRemoval.copy()
+            OrignList = columnsNewGen
         elif (flagEx == 2):
             XData = XDataStored.copy()
             XDataStoredOriginal = XDataStored.copy()
             XDataNoRemoval = XDataNoRemovalOrig.copy()
-            columnsNewGen = keepOriginalFeatures.columns.values.tolist()
+            columnsNewGen = OrignList
         else:
             XData = XDataStored.copy()
             XDataNoRemoval = XDataNoRemovalOrig.copy()
@@ -552,13 +556,12 @@ def executeModel(exeCall, flagEx, nodeTransfName):
         if (flagEx == 4):
             XDataStored = XData.copy()
             XDataNoRemovalOrig = XDataNoRemoval.copy()
-            print('edw!')
             #XDataStoredOriginal = XDataStored.copy()
         elif (flagEx == 2):
             XData = XDataStored.copy()
             XDataStoredOriginal = XDataStored.copy()
             XDataNoRemoval = XDataNoRemovalOrig.copy()
-            columnsNewGen = keepOriginalFeatures.columns.values.tolist()
+            columnsNewGen = OrignList
         else:    
             XData = XDataStored.copy()
             #XDataNoRemoval = XDataNoRemovalOrig.copy()
@@ -572,12 +575,20 @@ def executeModel(exeCall, flagEx, nodeTransfName):
         bayesopt.maximize(init_points=10, n_iter=5, acq='ucb') # 35 and 15
         bestParams = bayesopt.max['params']
         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 = keepOriginalFeatures.columns.values.tolist()
+        columnsNewGen = OrignList
+
+
+    print(columnsNewGen)
 
     if (len(exeCall) != 0):
         if (flagEx == 1):
-            XData = XData.drop(XData.columns[exeCall], axis=1)
-            XDataStoredOriginal = XDataStoredOriginal.drop(XDataStoredOriginal.columns[exeCall], axis=1)
+            currentColumnsDeleted = []
+            for uniqueValue in exeCall:
+                currentColumnsDeleted.append(tracker[uniqueValue])
+            for column in XData.columns:
+                if (column in currentColumnsDeleted):
+                    XData = XData.drop(column, axis=1)
+                    XDataStoredOriginal = XDataStoredOriginal.drop(column, axis=1)
         elif (flagEx == 2):
             columnsKeepNew = []
             columns = XDataGen.columns.values.tolist()
@@ -665,29 +676,6 @@ def executeModel(exeCall, flagEx, nodeTransfName):
             
     columnsNamesLoc = XData.columns.values.tolist()
 
-    tracker = []
-    for value in columnsNewGen:
-        value = value.split(' ')
-        if (len(value) > 1):
-            tracker.append(value[1])
-        else:
-            tracker.append(value[0])
-
-
-    storeIndices = []
-    valuesStore = []
-    for ind, col in enumerate(tracker):
-        for value in XDataStoredOriginal.columns.values.tolist():
-            if col in value:
-                storeIndices.append(ind)
-                valuesStore.append(valuesStore)
-                tracker[ind] = tracker[ind].replace(col, value)
-            else:
-                break
-    # FIX THAT!
-    #for el in storeIndices:
-    #    columnsNewGen[el] = columnsNewGen[el].replace(columnsNewGen[el],valuesStore[el])
-    #print(columnsNewGen)
     for col in columnsNamesLoc:
         splittedCol = col.split('_')
         if (len(splittedCol) == 1):
@@ -704,6 +692,23 @@ def executeModel(exeCall, flagEx, nodeTransfName):
     print(XDataStored)
     print(XDataStoredOriginal.columns)
     print(XDataNoRemoval)
+
+    tracker = []
+    for value in columnsNewGen:
+        value = value.split(' ')
+        if (len(value) > 1):
+            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)
     yPredictProb = cross_val_predict(estimator, XData, yData, cv=crossValidation, method='predict_proba')