new

frontend/src/components/FeatureSpaceDetail.vue

@@ -122,6 +122,7 @@ export default {
           var VIFRemainingLoc = []
           var MIRemainingLoc = []
           var pushEachFinal = []
+
           this.dataFSTrans.forEach(function(element, index) {
               var round = element.round
               round = JSON.parse(round[loop-1])
@@ -369,15 +370,14 @@ export default {
           )
         })
 
-        var lengthFeatureAddRem = this.featureAddRemCount.length
-
         Object.entries(pushEachFinal).forEach(
             function ([index, feature]) {
               feature.value.forEach(function (element, indexIns) {
                 if (element.valueIns > 0) {
-                  links.push({"source": index, "target": (index*feature.value.length+feature.value.length+indexIns)-lengthFeatureAddRem, "value": Math.abs(element.valueIns) * 30, "lin_color": "#33a02c"})
-                } else {
-                  links.push({"source": index, "target": (index*feature.value.length+feature.value.length+indexIns)-lengthFeatureAddRem, "value": Math.abs(element.valueIns) * 30, "lin_color": "#e31a1c"})
+                  links.push({"source": index, "target": (index*feature.value.length+pushEachFinal.length+indexIns), "value": Math.abs(element.valueIns) * 30, "lin_color": "#33a02c"})
+                }
+                else {
+                  links.push({"source": index, "target": (index*feature.value.length+pushEachFinal.length+indexIns), "value": Math.abs(element.valueIns) * 30, "lin_color": "#e31a1c"})
                 }
               })
         })
@@ -624,7 +624,6 @@ export default {
                     EventBus.$emit('UpdateIDs', IDsGather)
                     EventBus.$emit('CompareThree', IDsGather)
                   } else {
-
                   }
                 }
               } else {
@@ -637,7 +636,7 @@ export default {
                 }
                 EventBus.$emit('UpdateIDs', IDsGather)
                 if (selectionCounter == 1) {
-                  EventBus.$emit('Default')
+                  EventBus.$emit('storeGeneration')
                 } else if (selectionCounter == 2) {
                   EventBus.$emit('UpdateIDs', IDsGather)
                   EventBus.$emit('CompareTwo', IDsGather)

frontend/src/components/Heatmap.vue

@@ -87,7 +87,6 @@ export default {
       } else {
         var Features = this.generKey
       }
-      console.log(Features)
       let arr = Object.values(featureUni.Score);
       let minUni = Math.min(...arr);
       let maxUni = Math.max(...arr);
@@ -249,9 +248,10 @@ export default {
               return d.count > 1 ? d.join("/") : d;
           })
           .style('font-weight', function(d) {
-            if (d[0] == "# Action #" || d[0] == "Average") {
-                return "bold"
-            }
+            // console.log(d)
+            // if (d[0] === "# Action #" || d[0] === "Average") {
+            //     return "bold"
+            // }
           })
           .attr("x", 0)
           .attr("y", function(d, i) {
@@ -293,9 +293,9 @@ export default {
           })
           .style("text-anchor", "left")
           .style('font-weight',function(d,i){
-              /*if (d[0] === "Average") {
+            if (d[0] === "# Action #" || d[0] === "Average") {
                 return "bold"
-              }*/
+            }
           })
           .attr("transform", function(d, i) {
               return "translate(" + cellSize / 2 + ", -3) rotate(-90) rotate(45, 0, " + (i * cellSize) + ")";
@@ -311,9 +311,10 @@ export default {
               d3.select('#colLabel_' + i).classed("hover", false);
           })
           .on("click", function(d, i) {
+            console.log(d)
               colSortOrder = !colSortOrder;
               sortByValues("c", i, colSortOrder);
-              d3.select("#order").property("selectedIndex", 0);
+              d3.select("#order").property("selectedIndex", 3);
           });
 
       var row = svg.selectAll(".row")
@@ -401,7 +402,7 @@ export default {
                 } else {
                   if (d == -4) {
                     const index = featuresGen.indexOf(k);
-                    console.log(index)
+
                     if (index > -1) {
                       featuresGen.splice(index, 1);
                     }
@@ -535,6 +536,7 @@ export default {
             });
 
         //==================================================
+      d3.select('#colLabel_3').dispatch('click');
     },
     changeOrder(newOrder, heatmapId) {
   var svg = d3.select(heatmapId);

frontend/src/components/Main.vue

@@ -459,7 +459,6 @@ export default Vue.extend({
       .then(response => {
         console.log('Server successfully send the importances!')
         this.Importance = response.data.Importance
-        console.log(this.Importance)
         this.featureNames = []
         EventBus.$emit('Generation', this.featureNames)
         EventBus.$emit('HeatmapCall', this.Importance)
@@ -549,7 +548,7 @@ export default Vue.extend({
     axios.post(path, postData, axiosConfig)
       .then(response => {
         console.log('Store newly generated features!')
-        EventBus.$emit('updateFeatureImp')
+        this.threshold()
         EventBus.$emit('Default')
       })
       .catch(error => {

frontend/src/components/Results.vue

@@ -62,7 +62,7 @@ export default {
       var data = []
       
       var features = this.featuresReceived[33]
-      var labelsX = ['Add', 'Remove', 'Transform', 'Generate']
+      var labelsX = ['Include', 'Exclude', 'Transform', 'Generate']
       for (let i=0; i< features.length; i++) {
         data.push({
           label: features[i],

run.py

@@ -475,7 +475,6 @@ def executeModel(exeCall, flagEx):
 
             XDataTemp = XDataGen[columnsKeepNew]
             XData[columnsKeepNew] = XDataTemp.values
-    print(XDataStored)
     print(XData)
     featureImportanceData = estimatorFeatureSelection(XData, estimator)
     estimator.fit(XData, yData)
@@ -646,7 +645,6 @@ def Transformation(quadrant1, quadrant2, quadrant3, quadrant4, quadrant5):
             illusion = locals()[quadrantVariable]
             d["DataRows{0}".format(number)] = XDataNumericCopy.iloc[illusion, :]
         dicTransf["roundLog10"] = NewComputationTransf(d['DataRows1'], d['DataRows2'], d['DataRows3'], d['DataRows4'], d['DataRows5'], quadrant1, quadrant2, quadrant3, quadrant4, quadrant5, i, count)
-    
         packCorrTransformed.append(dicTransf)
 
     return 'Everything Okay'