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Angelos Chatzimparmpas 4 years ago
parent b258259d70
commit 207d8837c8
6 changed files with 363 additions and 209 deletions
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  1. BIN
      __pycache__/run.cpython-38.pyc
  2. 280
      frontend/src/components/FeatureSpaceDetail.vue
  3. 54
      frontend/src/components/FeatureSpaceOverview.vue
  4. 6
      frontend/src/components/Heatmap.vue
  5. 27
      frontend/src/components/Main.vue
  6. 197
      run.py

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__pycache__/run.cpython-38.pyc
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frontend/src/components/FeatureSpaceDetail.vue
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@ -1,7 +1,7 @@
<template> <template>
<div class="column"> <div class="column">
<svg id="chartID" class="chart"></svg> <svg id="chartID" class="chart"></svg>
<div id="FeatureGraph" style="border-style: solid; border-width: 2px; border-color: yellow; min-height: 819px; max-height: 819px; min-width: 819px"></div> <div id="FeatureGraph" style="border-style: solid; border-width: 3px; border-color: yellow; min-height: 819px; max-height: 819px; min-width: 819px"></div>
<div id="toolbar" style="min-height: 67px; max-height: 67px; margin-top: 25px"> <div id="toolbar" style="min-height: 67px; max-height: 67px; margin-top: 25px">
<div class="panel panel-default" data-placement="center"> <div class="panel panel-default" data-placement="center">
<div class="panel-body" id="resetAllFilters" data-placement="center" style="margin-top: -20px"> <div class="panel-body" id="resetAllFilters" data-placement="center" style="margin-top: -20px">
@ -102,6 +102,7 @@ export default {
this.graphVizualization() this.graphVizualization()
}, },
computeOnce () { computeOnce () {
var numberOfTransformations = 4 // change that
var listofNodes = this.dataFS[34] var listofNodes = this.dataFS[34]
var dataLocOnce = [] var dataLocOnce = []
@ -109,6 +110,8 @@ export default {
dataLocOnce.push(JSON.parse(this.dataFS[loop+2])) dataLocOnce.push(JSON.parse(this.dataFS[loop+2]))
} }
var featureNames = JSON.parse(this.dataFS[35])
var pushEach var pushEach
var oldVal var oldVal
var newVal var newVal
@ -124,14 +127,15 @@ export default {
var pushEachFinal = [] var pushEachFinal = []
this.dataFSTrans.forEach(function(element, index) { this.dataFSTrans.forEach(function(element, index) {
var round = element.round
round = JSON.parse(round[loop-1]) var transf1 = element.transf1
transf1 = JSON.parse(transf1[loop-1])
oldVal = 0 oldVal = 0
newVal = 0 newVal = 0
outcome = 0 outcome = 0
countLoc = 0 countLoc = 0
pushEach = [] pushEach = []
Object.entries(round).forEach( Object.entries(transf1).forEach(
function ([feature, value]) { function ([feature, value]) {
var key = Object.keys(value) var key = Object.keys(value)
var retrieveData = dataLocOnce[loop-1] var retrieveData = dataLocOnce[loop-1]
@ -143,15 +147,15 @@ export default {
oldVal = oldVal / listofNodes.length oldVal = oldVal / listofNodes.length
newVal = newVal / listofNodes.length newVal = newVal / listofNodes.length
outcome = oldVal - newVal outcome = oldVal - newVal
pushEach.push({keyIns: "r", valueIns: outcome}) pushEach.push({keyIns: featureNames[(index)*numberOfTransformations+0], valueIns: outcome})
var roundLogE = element.roundLogE var transf2 = element.transf2
roundLogE = JSON.parse(roundLogE[loop-1]) transf2 = JSON.parse(transf2[loop-1])
oldVal = 0 oldVal = 0
newVal = 0 newVal = 0
outcome = 0 outcome = 0
countLoc = 0 countLoc = 0
Object.entries(roundLogE).forEach( Object.entries(transf2).forEach(
function ([feature, value]) { function ([feature, value]) {
var key = Object.keys(value) var key = Object.keys(value)
var retrieveData = dataLocOnce[loop-1] var retrieveData = dataLocOnce[loop-1]
@ -163,15 +167,15 @@ export default {
oldVal = oldVal / listofNodes.length oldVal = oldVal / listofNodes.length
newVal = newVal / listofNodes.length newVal = newVal / listofNodes.length
outcome = oldVal - newVal outcome = oldVal - newVal
pushEach.push({keyIns: "r_E", valueIns: outcome}) pushEach.push({keyIns: featureNames[(index)*numberOfTransformations+1], valueIns: outcome})
var roundLog2 = element.roundLog2 var transf3 = element.transf3
roundLog2 = JSON.parse(roundLog2[loop-1]) transf3 = JSON.parse(transf3[loop-1])
oldVal = 0 oldVal = 0
newVal = 0 newVal = 0
outcome = 0 outcome = 0
countLoc = 0 countLoc = 0
Object.entries(roundLog2).forEach( Object.entries(transf3).forEach(
function ([feature, value]) { function ([feature, value]) {
var key = Object.keys(value) var key = Object.keys(value)
var retrieveData = dataLocOnce[loop-1] var retrieveData = dataLocOnce[loop-1]
@ -183,15 +187,15 @@ export default {
oldVal = oldVal / listofNodes.length oldVal = oldVal / listofNodes.length
newVal = newVal / listofNodes.length newVal = newVal / listofNodes.length
outcome = oldVal - newVal outcome = oldVal - newVal
pushEach.push({keyIns: "r_2", valueIns: outcome}) pushEach.push({keyIns: featureNames[(index)*numberOfTransformations+2], valueIns: outcome})
var roundLog10 = element.roundLog10 var transf4 = element.transf4
roundLog10 = JSON.parse(roundLog10[loop-1]) transf4 = JSON.parse(transf4[loop-1])
oldVal = 0 oldVal = 0
newVal = 0 newVal = 0
outcome = 0 outcome = 0
countLoc = 0 countLoc = 0
Object.entries(roundLog10).forEach( Object.entries(transf4).forEach(
function ([feature, value]) { function ([feature, value]) {
var key = Object.keys(value) var key = Object.keys(value)
var retrieveData = dataLocOnce[loop-1] var retrieveData = dataLocOnce[loop-1]
@ -203,7 +207,7 @@ export default {
oldVal = oldVal / listofNodes.length oldVal = oldVal / listofNodes.length
newVal = newVal / listofNodes.length newVal = newVal / listofNodes.length
outcome = oldVal - newVal outcome = oldVal - newVal
pushEach.push({keyIns: "r_10", valueIns: outcome}) pushEach.push({keyIns: featureNames[(index)*numberOfTransformations+3], valueIns: outcome})
pushEachFinal.push({key: listofNodes[index], value: pushEach}) pushEachFinal.push({key: listofNodes[index], value: pushEach})
}) })
pushEachFinalFinal.push(pushEachFinal) pushEachFinalFinal.push(pushEachFinal)
@ -213,6 +217,10 @@ export default {
}, },
initializeNetwork () { initializeNetwork () {
var numberOfTransformations = 4 // change that
var featureNames = JSON.parse(this.dataFS[35])
this.jsonData = [] this.jsonData = []
var threshLoc = this.threshold var threshLoc = this.threshold
@ -238,18 +246,18 @@ export default {
var MIRemainingLoc = [] var MIRemainingLoc = []
this.dataFSTrans.forEach(function(element, index) { this.dataFSTrans.forEach(function(element, index) {
var round = element.round var transf1 = element.transf1
corrMatrixCombLoc.push(Object.values(JSON.parse(round[5+quadrantNumberLocal]))) corrMatrixCombLoc.push(Object.values(JSON.parse(transf1[5+quadrantNumberLocal])))
corrMatrixCombTotalLoc.push(Object.values(JSON.parse(round[10+quadrantNumberLocal]))[0] * 100) corrMatrixCombTotalLoc.push(Object.values(JSON.parse(transf1[10+quadrantNumberLocal]))[0] * 100)
VIFRemainingLoc.push(Object.values(JSON.parse(round[15+quadrantNumberLocal]))[0]) VIFRemainingLoc.push(Object.values(JSON.parse(transf1[15+quadrantNumberLocal]))[0])
MIRemainingLoc.push(JSON.parse(round[20+quadrantNumberLocal])) MIRemainingLoc.push(JSON.parse(transf1[20+quadrantNumberLocal]))
round = JSON.parse(round[quadrantNumberLocal]) transf1 = JSON.parse(transf1[quadrantNumberLocal])
oldVal = 0 oldVal = 0
newVal = 0 newVal = 0
outcome = 0 outcome = 0
countLoc = 0 countLoc = 0
pushEach = [] pushEach = []
Object.entries(round).forEach( Object.entries(transf1).forEach(
function ([feature, value]) { function ([feature, value]) {
var key = Object.keys(value) var key = Object.keys(value)
var search = Object.values(dataLoc[key]) var search = Object.values(dataLoc[key])
@ -260,19 +268,19 @@ export default {
oldVal = oldVal / listofNodes.length oldVal = oldVal / listofNodes.length
newVal = newVal / listofNodes.length newVal = newVal / listofNodes.length
outcome = oldVal - newVal outcome = oldVal - newVal
pushEach.push({keyIns: "r", valueIns: outcome}) pushEach.push({keyIns: featureNames[(index)*numberOfTransformations+0], valueIns: outcome})
var roundLogE = element.roundLogE var transf2 = element.transf2
corrMatrixCombLoc.push(Object.values(JSON.parse(roundLogE[5+quadrantNumberLocal]))) corrMatrixCombLoc.push(Object.values(JSON.parse(transf2[5+quadrantNumberLocal])))
corrMatrixCombTotalLoc.push(Object.values(JSON.parse(roundLogE[10+quadrantNumberLocal]))[0] * 100) corrMatrixCombTotalLoc.push(Object.values(JSON.parse(transf2[10+quadrantNumberLocal]))[0] * 100)
VIFRemainingLoc.push(Object.values(JSON.parse(roundLogE[15+quadrantNumberLocal]))[0]) VIFRemainingLoc.push(Object.values(JSON.parse(transf2[15+quadrantNumberLocal]))[0])
MIRemainingLoc.push(JSON.parse(roundLogE[20+quadrantNumberLocal])) MIRemainingLoc.push(JSON.parse(transf2[20+quadrantNumberLocal]))
roundLogE = JSON.parse(roundLogE[quadrantNumberLocal]) transf2 = JSON.parse(transf2[quadrantNumberLocal])
oldVal = 0 oldVal = 0
newVal = 0 newVal = 0
outcome = 0 outcome = 0
countLoc = 0 countLoc = 0
Object.entries(roundLogE).forEach( Object.entries(transf2).forEach(
function ([feature, value]) { function ([feature, value]) {
var key = Object.keys(value) var key = Object.keys(value)
var search = Object.values(dataLoc[key]) var search = Object.values(dataLoc[key])
@ -283,19 +291,19 @@ export default {
oldVal = oldVal / listofNodes.length oldVal = oldVal / listofNodes.length
newVal = newVal / listofNodes.length newVal = newVal / listofNodes.length
outcome = oldVal - newVal outcome = oldVal - newVal
pushEach.push({keyIns: "r_E", valueIns: outcome}) pushEach.push({keyIns: featureNames[(index)*numberOfTransformations+1], valueIns: outcome})
var roundLog2 = element.roundLog2 var transf3 = element.transf3
corrMatrixCombLoc.push(Object.values(JSON.parse(roundLog2[5+quadrantNumberLocal]))) corrMatrixCombLoc.push(Object.values(JSON.parse(transf3[5+quadrantNumberLocal])))
corrMatrixCombTotalLoc.push(Object.values(JSON.parse(roundLog2[10+quadrantNumberLocal]))[0] * 100) corrMatrixCombTotalLoc.push(Object.values(JSON.parse(transf3[10+quadrantNumberLocal]))[0] * 100)
VIFRemainingLoc.push(Object.values(JSON.parse(roundLog2[15+quadrantNumberLocal]))[0]) VIFRemainingLoc.push(Object.values(JSON.parse(transf3[15+quadrantNumberLocal]))[0])
MIRemainingLoc.push(JSON.parse(roundLog2[20+quadrantNumberLocal])) MIRemainingLoc.push(JSON.parse(transf3[20+quadrantNumberLocal]))
roundLog2 = JSON.parse(roundLog2[quadrantNumberLocal]) transf3 = JSON.parse(transf3[quadrantNumberLocal])
oldVal = 0 oldVal = 0
newVal = 0 newVal = 0
outcome = 0 outcome = 0
countLoc = 0 countLoc = 0
Object.entries(roundLog2).forEach( Object.entries(transf3).forEach(
function ([feature, value]) { function ([feature, value]) {
var key = Object.keys(value) var key = Object.keys(value)
var search = Object.values(dataLoc[key]) var search = Object.values(dataLoc[key])
@ -306,19 +314,19 @@ export default {
oldVal = oldVal / listofNodes.length oldVal = oldVal / listofNodes.length
newVal = newVal / listofNodes.length newVal = newVal / listofNodes.length
outcome = oldVal - newVal outcome = oldVal - newVal
pushEach.push({keyIns: "r_2", valueIns: outcome}) pushEach.push({keyIns: featureNames[(index)*numberOfTransformations+2], valueIns: outcome})
var roundLog10 = element.roundLog10 var transf4 = element.transf4
corrMatrixCombLoc.push(Object.values(JSON.parse(roundLog10[5+quadrantNumberLocal]))) corrMatrixCombLoc.push(Object.values(JSON.parse(transf4[5+quadrantNumberLocal])))
corrMatrixCombTotalLoc.push(Object.values(JSON.parse(roundLog10[10+quadrantNumberLocal]))[0] * 100) corrMatrixCombTotalLoc.push(Object.values(JSON.parse(transf4[10+quadrantNumberLocal]))[0] * 100)
VIFRemainingLoc.push(Object.values(JSON.parse(roundLog10[15+quadrantNumberLocal]))[0]) VIFRemainingLoc.push(Object.values(JSON.parse(transf4[15+quadrantNumberLocal]))[0])
MIRemainingLoc.push(JSON.parse(roundLog10[20+quadrantNumberLocal])) MIRemainingLoc.push(JSON.parse(transf4[20+quadrantNumberLocal]))
roundLog10 = JSON.parse(roundLog10[quadrantNumberLocal]) transf4 = JSON.parse(transf4[quadrantNumberLocal])
oldVal = 0 oldVal = 0
newVal = 0 newVal = 0
outcome = 0 outcome = 0
countLoc = 0 countLoc = 0
Object.entries(roundLog10).forEach( Object.entries(transf4).forEach(
function ([feature, value]) { function ([feature, value]) {
var key = Object.keys(value) var key = Object.keys(value)
var search = Object.values(dataLoc[key]) var search = Object.values(dataLoc[key])
@ -329,7 +337,7 @@ export default {
oldVal = oldVal / listofNodes.length oldVal = oldVal / listofNodes.length
newVal = newVal / listofNodes.length newVal = newVal / listofNodes.length
outcome = oldVal - newVal outcome = oldVal - newVal
pushEach.push({keyIns: "r_10", valueIns: outcome}) pushEach.push({keyIns: featureNames[(index)*numberOfTransformations+3], valueIns: outcome})
pushEachFinal.push({key: listofNodes[index], value: pushEach}) pushEachFinal.push({key: listofNodes[index], value: pushEach})
}) })
@ -360,14 +368,16 @@ export default {
}) })
groupID = 0 groupID = 0
var featureNumber = 0
listofNodes.forEach( function(element) { listofNodes.forEach( function(element) {
groupID++ groupID++
nodes.push( nodes.push(
{"name": "r", "group": groupID, "active": false}, {"name": featureNames[(featureNumber)*numberOfTransformations+0], "group": groupID, "active": false},
{"name": "r_E", "group": groupID, "active": false}, {"name": featureNames[(featureNumber)*numberOfTransformations+1], "group": groupID, "active": false},
{"name": "r_2", "group": groupID, "active": false}, {"name": featureNames[(featureNumber)*numberOfTransformations+2], "group": groupID, "active": false},
{"name": "r_10", "group": groupID, "active": false}, {"name": featureNames[(featureNumber)*numberOfTransformations+3], "group": groupID, "active": false},
) )
featureNumber++
}) })
Object.entries(pushEachFinal).forEach( Object.entries(pushEachFinal).forEach(
@ -528,92 +538,104 @@ export default {
.data(graph.nodes) .data(graph.nodes)
.enter().append('g') .enter().append('g')
.on("click", function(id, index) { .on("click", function(id, index) {
// This is for transformation
if (modeLoc == 0) { if (modeLoc == 0) {
for (let i = 0; i < listofNodes.length; i++) { var clickedNode = document.getElementById('svg'+index).getAttribute('class')
var numb = graph.nodes[i]['group'].match(/\d/g) if (!clickedNode.includes("root")) {
numb = parseInt(numb.join("")) var clearSendNode = []
var items = document.getElementsByClassName(numb) clearSendNode.push(id.name)
items.forEach( function (it) { clearSendNode.push(clickedNode-1)
it.childNodes[0].style.visibility = "hidden"; EventBus.$emit('transformNodes', clearSendNode)
it.childNodes[1].setAttribute("transform", "translate(50,50) scale(0.28) rotate(180)"); } else {
it.childNodes[1].childNodes[0].style.fill = "#D3D3D3"; for (let i = 0; i < listofNodes.length; i++) {
it.childNodes[2].style.visibility = "hidden"; var numb = graph.nodes[i]['group'].match(/\d/g)
}) numb = parseInt(numb.join(""))
} var items = document.getElementsByClassName(numb)
for (let i = 0; i < graph.nodes.length; i++) {
var str = String(graph.nodes[i].group)
if (!str.includes("root")) {
graph.nodes[i].active = false
}
}
node.selectAll('text').remove();
var labels = node.append("text")
.text(function(d) {
return d.name;
})
.attr('x', 39)
.attr('y', function(d) {
if(d.active)
return 8
else
return 35
});
node.append('title').text(function (d) { return d.name; });
var groupLoc = index + 1 items.forEach( function (it) {
var items = document.getElementsByClassName(groupLoc)
items.forEach( function (it) {
if (it.childNodes[0].style.visibility == "hidden") {
it.childNodes[0].style.visibility = "visible";
it.childNodes[1].setAttribute("transform", "translate(50,50) scale(1) rotate(180)");
it.childNodes[1].childNodes[0].style.fill = "none";
it.childNodes[2].style.visibility = "visible";
} else {
it.childNodes[0].style.visibility = "hidden"; it.childNodes[0].style.visibility = "hidden";
it.childNodes[1].setAttribute("transform", "translate(50,50) scale(0.28) rotate(180)"); it.childNodes[1].setAttribute("transform", "translate(50,50) scale(0.28) rotate(180)");
it.childNodes[1].childNodes[0].style.fill = "#D3D3D3"; it.childNodes[1].childNodes[0].style.fill = "#D3D3D3";
it.childNodes[2].style.visibility = "hidden"; it.childNodes[2].style.visibility = "hidden";
})
} }
})
var regex = /\d+/g
var string = id.group
var matches = parseInt(string.match(regex)[0])
for (let i = 0; i < graph.nodes.length; i++) { for (let i = 0; i < graph.nodes.length; i++) {
var str = String(graph.nodes[i].group)
if (!str.includes("root")) {
graph.nodes[i].active = false
} else {
document.getElementById('svg'+index).childNodes[0].childNodes[1].style.fill = "black"
}
}
node.selectAll('text').remove();
var labels = node.append("text")
.text(function(d) {
return d.name;
})
.attr('x', 39)
.attr('y', function(d) {
if(d.active)
return 8
else
return 35
});
node.append('title').text(function (d) { return d.name; });
var groupLoc = index + 1
var items = document.getElementsByClassName(groupLoc)
items.forEach( function (it) {
if (it.childNodes[0].style.visibility == "hidden") {
it.childNodes[0].style.visibility = "visible";
it.childNodes[1].setAttribute("transform", "translate(50,50) scale(1) rotate(180)");
it.childNodes[1].childNodes[0].style.fill = "none";
it.childNodes[2].style.visibility = "visible";
} else {
it.childNodes[0].style.visibility = "hidden";
it.childNodes[1].setAttribute("transform", "translate(50,50) scale(0.28) rotate(180)");
it.childNodes[1].childNodes[0].style.fill = "#D3D3D3";
it.childNodes[2].style.visibility = "hidden";
}
})
var regex = /\d+/g
var string = id.group
var matches = parseInt(string.match(regex)[0])
for (let i = 0; i < graph.nodes.length; i++) {
if (graph.nodes[i].group == matches) { if (graph.nodes[i].group == matches) {
graph.nodes[i].active = true graph.nodes[i].active = true
}
} }
}
node.selectAll('text').remove(); node.selectAll('text').remove();
var labels = node.append("text") var labels = node.append("text")
.text(function(d) { .text(function(d) {
return d.name; return d.name;
}) })
.attr('x', 39) .attr('x', 39)
.attr('y', function(d) { .attr('y', function(d) {
if(d.active) if(d.active)
return 8 return 8
else else
return 35 return 35
}); });
node.append('title').text(function (d) { return d.name; }); node.append('title').text(function (d) { return d.name; });
EventBus.$emit('brushLink', groupLoc-1) EventBus.$emit('brushLink', groupLoc-1)
}
} else { } else {
var groupsColor = d3.select('#svg'+index)._groups['0'][0].childNodes[0].childNodes[1] var groupsColor = d3.select('#svg'+index)._groups['0'][0].childNodes[0].childNodes[1]
var regex = /\d+/g var regex = /\d+/g
var idLocal = parseInt(d3.select('#svg'+index)._groups['0'][0].getAttribute("id").match(regex)) var idLocal = parseInt(d3.select('#svg'+index)._groups['0'][0].getAttribute("id").match(regex))
if (groupsColor.getAttribute('fill') == "black") { if (groupsColor.getAttribute('fill') == "#D3D3D3") {
if (selectionCounter < 3) { if (selectionCounter < 3) {
// add here the different states of comparison! (=2 and =3) // add here the different states of comparison! (=2 and =3)
groupsColor.setAttribute('fill', '#D3D3D3') groupsColor.setAttribute('fill', '#black')
selectionCounter = selectionCounter + 1 selectionCounter = selectionCounter + 1
EventBus.$emit('Counter', selectionCounter) EventBus.$emit('Counter', selectionCounter)
IDsGather.push(idLocal); IDsGather.push(idLocal);
@ -627,7 +649,7 @@ export default {
} }
} }
} else { } else {
groupsColor.setAttribute('fill', 'black') groupsColor.setAttribute('fill', '#D3D3D3')
selectionCounter = selectionCounter - 1 selectionCounter = selectionCounter - 1
EventBus.$emit('Counter', selectionCounter) EventBus.$emit('Counter', selectionCounter)
var index = IDsGather.indexOf(idLocal); var index = IDsGather.indexOf(idLocal);
@ -666,6 +688,8 @@ export default {
if (graph.nodes[i].group == matches) { if (graph.nodes[i].group == matches) {
graph.nodes[i].active = false graph.nodes[i].active = false
} else {
document.getElementById('svg'+index).childNodes[0].childNodes[1].style.fill = "#D3D3D3"
} }
} }
@ -815,9 +839,9 @@ export default {
var data = [] var data = []
var barchartData = [] var barchartData = []
if (IDsGather.includes(indexNode)) { if (IDsGather.includes(indexNode)) {
data.push({value: VIFVarFormatted[indexNode], color: '#D3D3D3'})
} else {
data.push({value: VIFVarFormatted[indexNode], color: 'black'}) data.push({value: VIFVarFormatted[indexNode], color: 'black'})
} else {
data.push({value: VIFVarFormatted[indexNode], color: '#D3D3D3'})
} }
data.push({value: corrGlobFormatted[indexNode], color: colorsScaleNodes(MIVar[indexNode])}) data.push({value: corrGlobFormatted[indexNode], color: colorsScaleNodes(MIVar[indexNode])})
@ -1076,7 +1100,7 @@ export default {
var binaryBarLegend = [] var binaryBarLegend = []
var exemplaryValues = [25, 75] var exemplaryValues = [25, 75]
dataLegend.push({value: 25, color: 'black'}) dataLegend.push({value: 25, color: '#D3D3D3'})
dataLegend.push({value: 50, color: '#6baed6'}) dataLegend.push({value: 50, color: '#6baed6'})
for(let k = 0; k < 2; k++) { for(let k = 0; k < 2; k++) {
@ -1203,7 +1227,7 @@ export default {
textLine.append('line') textLine.append('line')
.style("stroke", "black") .style("stroke", "black")
.style("stroke-width", 3) .style("stroke-width", 3)
.attr("x1", 35 + marginBorderX) .attr("x1", 36 + marginBorderX)
.attr("y1", 50 - marginBorder) .attr("y1", 50 - marginBorder)
.attr("x2", 74 + marginBorderX) .attr("x2", 74 + marginBorderX)
.attr("y2", 50 - marginBorder) .attr("y2", 50 - marginBorder)

54
frontend/src/components/FeatureSpaceOverview.vue
Unescape View File

@ -106,48 +106,48 @@ export default {
for (let i = 0; i < features[4].length; i++) { for (let i = 0; i < features[4].length; i++) {
featuresQuad1.push({"name": features[0][i].key, featuresQuad1.push({"name": features[0][i].key,
"children": [ "children": [
{"name": "r", "lin_color": features[0][i].value[0].valueIns}, {"name": features[0][i].value[0].keyIns, "lin_color": features[0][i].value[0].valueIns},
{"name": "r_E", "lin_color": features[0][i].value[1].valueIns}, {"name": features[0][i].value[1].keyIns, "lin_color": features[0][i].value[1].valueIns},
{"name": "r_2", "lin_color": features[0][i].value[2].valueIns}, {"name": features[0][i].value[2].keyIns, "lin_color": features[0][i].value[2].valueIns},
{"name": "r_10", "lin_color": features[0][i].value[3].valueIns}, {"name": features[0][i].value[3].keyIns, "lin_color": features[0][i].value[3].valueIns},
], ],
"lin_color": features[0][i].value[0].valueIns+features[0][i].value[1].valueIns+features[0][i].value[3].valueIns+features[0][i].value[3].valueIns "lin_color": features[0][i].value[0].valueIns+features[0][i].value[1].valueIns+features[0][i].value[2].valueIns+features[0][i].value[3].valueIns
}) })
featuresQuad2.push({"name": features[1][i].key, featuresQuad2.push({"name": features[1][i].key,
"children": [ "children": [
{"name": "r", "lin_color": features[1][i].value[0].valueIns}, {"name": features[1][i].value[0].keyIns, "lin_color": features[1][i].value[0].valueIns},
{"name": "r_E", "lin_color": features[1][i].value[1].valueIns}, {"name": features[1][i].value[1].keyIns, "lin_color": features[1][i].value[1].valueIns},
{"name": "r_2", "lin_color": features[1][i].value[2].valueIns}, {"name": features[1][i].value[2].keyIns, "lin_color": features[1][i].value[2].valueIns},
{"name": "r_10", "lin_color": features[1][i].value[3].valueIns}, {"name": features[1][i].value[3].keyIns, "lin_color": features[1][i].value[3].valueIns},
], ],
"lin_color": features[1][i].value[0].valueIns+features[1][i].value[1].valueIns+features[1][i].value[3].valueIns+features[1][i].value[3].valueIns "lin_color": features[1][i].value[0].valueIns+features[1][i].value[1].valueIns+features[1][i].value[2].valueIns+features[1][i].value[3].valueIns
}) })
featuresQuad3.push({"name": features[2][i].key, featuresQuad3.push({"name": features[2][i].key,
"children": [ "children": [
{"name": "r", "lin_color": features[2][i].value[0].valueIns}, {"name": features[2][i].value[0].keyIns, "lin_color": features[2][i].value[0].valueIns},
{"name": "r_E", "lin_color": features[2][i].value[1].valueIns}, {"name": features[2][i].value[1].keyIns, "lin_color": features[2][i].value[1].valueIns},
{"name": "r_2", "lin_color": features[2][i].value[2].valueIns}, {"name": features[2][i].value[2].keyIns, "lin_color": features[2][i].value[2].valueIns},
{"name": "r_10", "lin_color": features[2][i].value[3].valueIns}, {"name": features[2][i].value[3].keyIns, "lin_color": features[2][i].value[3].valueIns},
], ],
"lin_color": features[2][i].value[0].valueIns+features[2][i].value[1].valueIns+features[2][i].value[3].valueIns+features[2][i].value[3].valueIns "lin_color": features[2][i].value[0].valueIns+features[2][i].value[1].valueIns+features[2][i].value[2].valueIns+features[2][i].value[3].valueIns
}) })
featuresQuad4.push({"name": features[3][i].key, featuresQuad4.push({"name": features[3][i].key,
"children": [ "children": [
{"name": "r", "lin_color": features[3][i].value[0].valueIns}, {"name": features[3][i].value[0].keyIns, "lin_color": features[3][i].value[0].valueIns},
{"name": "r_E", "lin_color": features[3][i].value[1].valueIns}, {"name": features[3][i].value[1].keyIns, "lin_color": features[3][i].value[1].valueIns},
{"name": "r_2", "lin_color": features[3][i].value[2].valueIns}, {"name": features[3][i].value[2].keyIns, "lin_color": features[3][i].value[2].valueIns},
{"name": "r_10", "lin_color": features[3][i].value[3].valueIns}, {"name": features[3][i].value[3].keyIns, "lin_color": features[3][i].value[3].valueIns},
], ],
"lin_color": features[3][i].value[0].valueIns+features[3][i].value[1].valueIns+features[3][i].value[3].valueIns+features[3][i].value[3].valueIns "lin_color": features[3][i].value[0].valueIns+features[3][i].value[1].valueIns+features[3][i].value[2].valueIns+features[3][i].value[3].valueIns
}) })
featuresQuad5.push({"name": features[4][i].key, featuresQuad5.push({"name": features[4][i].key,
"children": [ "children": [
{"name": "r", "lin_color": features[4][i].value[0].valueIns}, {"name": features[4][i].value[0].keyIns, "lin_color": features[4][i].value[0].valueIns},
{"name": "r_E", "lin_color": features[4][i].value[1].valueIns}, {"name": features[4][i].value[1].keyIns, "lin_color": features[4][i].value[1].valueIns},
{"name": "r_2", "lin_color": features[4][i].value[2].valueIns}, {"name": features[4][i].value[2].keyIns, "lin_color": features[4][i].value[2].valueIns},
{"name": "r_10", "lin_color": features[4][i].value[3].valueIns}, {"name": features[4][i].value[3].keyIns, "lin_color": features[4][i].value[3].valueIns},
], ],
"lin_color": features[4][i].value[0].valueIns+features[4][i].value[1].valueIns+features[4][i].value[3].valueIns+features[4][i].value[3].valueIns "lin_color": features[4][i].value[0].valueIns+features[4][i].value[1].valueIns+features[4][i].value[2].valueIns+features[4][i].value[3].valueIns
}) })
} }
@ -214,7 +214,7 @@ export default {
// current pan, zoom, and rotation // current pan, zoom, and rotation
var curX = width / 2; var curX = width / 2;
var curY = height / 2; var curY = height / 2;
var curZ = 1.28; // current zoom var curZ = 1.22; // current zoom
var curR = 270; // current rotation var curR = 270; // current rotation
// keyboard key codes // keyboard key codes
@ -348,7 +348,7 @@ export default {
} else { } else {
if (activeLeafLoc != -1) { if (activeLeafLoc != -1) {
if (d.name == listofNodes[activeLeafLoc]) { if (d.name == listofNodes[activeLeafLoc]) {
return d._children ? 'yellow' : 'yellow' return d._children ? 'black' : 'black'
} }
else { else {
return d._children ? '#D3D3D3' : '#D3D3D3' return d._children ? '#D3D3D3' : '#D3D3D3'

6
frontend/src/components/Heatmap.vue
Unescape View File

@ -368,7 +368,7 @@ export default {
.style("fill", function(d) { .style("fill", function(d) {
if (d == -1) return "url(#diagonalHatch)" if (d == -1) return "url(#diagonalHatch)"
else if (d == -2) return "yellow" else if (d == -2) return "yellow"
else if (d == -3) return "#D3D3D3" else if (d == -3) return "black"
else if (d == -4) return "url(#diagonalHatch)" else if (d == -4) return "url(#diagonalHatch)"
else return colorScale(d) else return colorScale(d)
}) })
@ -394,7 +394,7 @@ export default {
EventBus.$emit('addFeature', featuresAddRem) EventBus.$emit('addFeature', featuresAddRem)
return 'yellow' return 'yellow'
} else if (d == -3) { } else if (d == -3) {
return '#D3D3D3' return 'black'
} else if (d == -4) { } else if (d == -4) {
// svg.selectAll("rect").each(function(d){ // svg.selectAll("rect").each(function(d){
// if (d == -4) { // if (d == -4) {
@ -424,7 +424,7 @@ export default {
} }
} else { } else {
if (d == -3) { if (d == -3) {
return '#D3D3D3' return 'black'
} else { } else {
return colorScale(d) return colorScale(d)
} }

27
frontend/src/components/Main.vue
Unescape View File

@ -104,6 +104,7 @@ export default Vue.extend({
}, },
data () { data () {
return { return {
storeDataTransf: [],
compareNumber: 0, compareNumber: 0,
IDToCompare: [], IDToCompare: [],
ImportanceCompare: [], ImportanceCompare: [],
@ -601,6 +602,29 @@ export default Vue.extend({
console.log(error) console.log(error)
}) })
}, },
transformNodesFun () {
const path = `http://127.0.0.1:5000/data/transformation`
const postData = {
nameClicked: this.storeDataTransf,
removeNode: this.storeDataTransf
}
const axiosConfig = {
headers: {
'Content-Type': 'application/json',
'Access-Control-Allow-Origin': '*',
'Access-Control-Allow-Headers': 'Origin, Content-Type, X-Auth-Token',
'Access-Control-Allow-Methods': 'GET, PUT, POST, DELETE, OPTIONS'
}
}
axios.post(path, postData, axiosConfig)
.then(response => {
console.log('Features transformation active!')
this.threshold()
})
.catch(error => {
console.log(error)
})
}
}, },
created () { created () {
@ -705,6 +729,9 @@ export default Vue.extend({
EventBus.$on('addFeatureGen', data => { this.featureAddRemGen = data }) EventBus.$on('addFeatureGen', data => { this.featureAddRemGen = data })
EventBus.$on('addFeatureGen', this.ManipulFeatureGen) EventBus.$on('addFeatureGen', this.ManipulFeatureGen)
EventBus.$on('transformNodes', data => { this.storeDataTransf = data })
EventBus.$on('transformNodes', this.transformNodesFun)
//Prevent double click to search for a word. //Prevent double click to search for a word.
document.addEventListener('mousedown', function (event) { document.addEventListener('mousedown', function (event) {
if (event.detail > 1) { if (event.detail > 1) {

197
run.py
Unescape View File

@ -123,6 +123,12 @@ def reset():
global columnsNewGen global columnsNewGen
columnsNewGen = [] columnsNewGen = []
global columnsNames
columnsNames = []
global listofTransformations
listofTransformations = ["r","rE","r2","r10"]
return 'The reset was done!' return 'The reset was done!'
# retrieve data from client and select the correct data set # retrieve data from client and select the correct data set
@ -226,6 +232,12 @@ def retrieveFileName():
global columnsNewGen global columnsNewGen
columnsNewGen = [] columnsNewGen = []
global columnsNames
columnsNames = []
global listofTransformations
listofTransformations = ["r","rE","r2","r10"]
DataRawLength = -1 DataRawLength = -1
DataRawLengthTest = -1 DataRawLengthTest = -1
data = json.loads(fileName) data = json.loads(fileName)
@ -316,6 +328,8 @@ def sendToServerData():
XDataStored = XData.copy() XDataStored = XData.copy()
yDataStored = yData.copy() yDataStored = yData.copy()
global XDataStoredOriginal
XDataStoredOriginal = XData.copy()
return 'Processed uploaded data set' return 'Processed uploaded data set'
def dataSetSelection(): def dataSetSelection():
@ -414,9 +428,12 @@ def dataSetSelection():
XDataStored = XData.copy() XDataStored = XData.copy()
yDataStored = yData.copy() yDataStored = yData.copy()
global XDataStoredOriginal
XDataStoredOriginal = XData.copy()
warnings.simplefilter('ignore') warnings.simplefilter('ignore')
executeModel([], 0) executeModel([], 0, '')
return 'Everything is okay' return 'Everything is okay'
@ -431,7 +448,7 @@ def create_global_function():
return np.mean(result['test_score']) return np.mean(result['test_score'])
# check this issue later because we are not getting the same results # check this issue later because we are not getting the same results
def executeModel(exeCall, flagEx): def executeModel(exeCall, flagEx, nodeTransfName):
global keyFirstTime global keyFirstTime
global estimator global estimator
@ -442,6 +459,9 @@ def executeModel(exeCall, flagEx):
global XDataStored global XDataStored
global previousState global previousState
global columnsNewGen global columnsNewGen
global columnsNames
global listofTransformations
columnsNames = []
scores = [] scores = []
if (len(exeCall) == 0): if (len(exeCall) == 0):
@ -450,7 +470,10 @@ def executeModel(exeCall, flagEx):
else: else:
XData = XDataStored.copy() XData = XDataStored.copy()
else: else:
XData = XDataStored.copy() if (flagEx == 4):
XDataStored = XData.copy()
else:
XData = XDataStored.copy()
columnsNewGen = keepOriginalFeatures.columns.values.tolist() columnsNewGen = keepOriginalFeatures.columns.values.tolist()
# Bayesian Optimization for 150 iterations # Bayesian Optimization for 150 iterations
@ -475,7 +498,38 @@ def executeModel(exeCall, flagEx):
XDataTemp = XDataGen[columnsKeepNew] XDataTemp = XDataGen[columnsKeepNew]
XData[columnsKeepNew] = XDataTemp.values XData[columnsKeepNew] = XDataTemp.values
elif (flagEx == 4):
splittedCol = nodeTransfName.split('_')
XData.rename(columns={ XData.columns[exeCall[0]]: nodeTransfName }, inplace = True)
if (len(splittedCol) == 1):
XData[nodeTransfName] = XDataStoredOriginal[nodeTransfName]
else:
if (splittedCol[1] == 'r'):
XData[nodeTransfName] = XData[nodeTransfName].round()
elif (splittedCol[1] == 'rE'):
XData[nodeTransfName] = np.log(XData[nodeTransfName])
XData[nodeTransfName] = XData[nodeTransfName].round()
elif (splittedCol[1] == 'r2'):
XData[nodeTransfName] = np.log2(XData[nodeTransfName])
XData[nodeTransfName] = XData[nodeTransfName].round()
else:
XData[nodeTransfName] = np.log10(XData[nodeTransfName])
XData[nodeTransfName] = XData[nodeTransfName].round()
print(XData) print(XData)
columnsNamesLoc = XData.columns.values.tolist()
for col in columnsNamesLoc:
splittedCol = col.split('_')
if (len(splittedCol) == 1):
for tran in listofTransformations:
columnsNames.append(splittedCol[0]+'_'+tran)
else:
for tran in listofTransformations:
if (splittedCol[1] == tran):
columnsNames.append(splittedCol[0])
else:
columnsNames.append(splittedCol[0]+'_'+tran)
print(columnsNames)
featureImportanceData = estimatorFeatureSelection(XData, estimator) featureImportanceData = estimatorFeatureSelection(XData, estimator)
estimator.fit(XData, yData) estimator.fit(XData, yData)
yPredict = estimator.predict(XData) yPredict = estimator.predict(XData)
@ -597,54 +651,92 @@ def sendFinalResults():
def Transformation(quadrant1, quadrant2, quadrant3, quadrant4, quadrant5): def Transformation(quadrant1, quadrant2, quadrant3, quadrant4, quadrant5):
XDataNumeric = XData.select_dtypes(include='number') XDataNumericColumn = XDataStored.select_dtypes(include='number')
XDataNumeric = XDataStoredOriginal.select_dtypes(include='number')
columns = list(XDataNumeric) columns = list(XDataNumericColumn)
global packCorrTransformed global packCorrTransformed
packCorrTransformed = [] packCorrTransformed = []
# FIX THAT!
for count, i in enumerate(columns): for count, i in enumerate(columns):
dicTransf = {} dicTransf = {}
d={} splittedCol = columnsNames[(count)*len(listofTransformations)+0]
XDataNumericCopy = XDataNumeric.copy() if(len(splittedCol) == 1):
XDataNumericCopy[i] = XDataNumericCopy[i].round() d={}
for number in range(1,6): XDataNumericCopy = XDataNumeric.copy()
quadrantVariable = str('quadrant%s' % number) for number in range(1,6):
illusion = locals()[quadrantVariable] quadrantVariable = str('quadrant%s' % number)
d["DataRows{0}".format(number)] = XDataNumericCopy.iloc[illusion, :] illusion = locals()[quadrantVariable]
dicTransf["round"] = NewComputationTransf(d['DataRows1'], d['DataRows2'], d['DataRows3'], d['DataRows4'], d['DataRows5'], quadrant1, quadrant2, quadrant3, quadrant4, quadrant5, i, count) d["DataRows{0}".format(number)] = XDataNumericCopy.iloc[illusion, :]
dicTransf["transf1"] = NewComputationTransf(d['DataRows1'], d['DataRows2'], d['DataRows3'], d['DataRows4'], d['DataRows5'], quadrant1, quadrant2, quadrant3, quadrant4, quadrant5, i, count)
d={} else:
XDataNumericCopy = XDataNumeric.copy() d={}
XDataNumericCopy[i] = np.log(XDataNumericCopy[i]) XDataNumericCopy = XDataNumeric.copy()
XDataNumericCopy[i] = XDataNumericCopy[i].round() XDataNumericCopy[i] = XDataNumericCopy[i].round()
for number in range(1,6): for number in range(1,6):
quadrantVariable = str('quadrant%s' % number) quadrantVariable = str('quadrant%s' % number)
illusion = locals()[quadrantVariable] illusion = locals()[quadrantVariable]
d["DataRows{0}".format(number)] = XDataNumericCopy.iloc[illusion, :] d["DataRows{0}".format(number)] = XDataNumericCopy.iloc[illusion, :]
dicTransf["roundLogE"] = NewComputationTransf(d['DataRows1'], d['DataRows2'], d['DataRows3'], d['DataRows4'], d['DataRows5'], quadrant1, quadrant2, quadrant3, quadrant4, quadrant5, i, count) dicTransf["transf1"] = NewComputationTransf(d['DataRows1'], d['DataRows2'], d['DataRows3'], d['DataRows4'], d['DataRows5'], quadrant1, quadrant2, quadrant3, quadrant4, quadrant5, i, count)
splittedCol = columnsNames[(count)*len(listofTransformations)+1]
d={} if(len(splittedCol) == 1):
XDataNumericCopy = XDataNumeric.copy() d={}
XDataNumericCopy[i] = np.log2(XDataNumericCopy[i]) XDataNumericCopy = XDataNumeric.copy()
XDataNumericCopy[i] = XDataNumericCopy[i].round() for number in range(1,6):
for number in range(1,6): quadrantVariable = str('quadrant%s' % number)
quadrantVariable = str('quadrant%s' % number) illusion = locals()[quadrantVariable]
illusion = locals()[quadrantVariable] d["DataRows{0}".format(number)] = XDataNumericCopy.iloc[illusion, :]
d["DataRows{0}".format(number)] = XDataNumericCopy.iloc[illusion, :] dicTransf["transf2"] = NewComputationTransf(d['DataRows1'], d['DataRows2'], d['DataRows3'], d['DataRows4'], d['DataRows5'], quadrant1, quadrant2, quadrant3, quadrant4, quadrant5, i, count)
dicTransf["roundLog2"] = NewComputationTransf(d['DataRows1'], d['DataRows2'], d['DataRows3'], d['DataRows4'], d['DataRows5'], quadrant1, quadrant2, quadrant3, quadrant4, quadrant5, i, count) else:
d={}
d={} XDataNumericCopy = XDataNumeric.copy()
XDataNumericCopy = XDataNumeric.copy() XDataNumericCopy[i] = np.log(XDataNumericCopy[i])
XDataNumericCopy[i] = np.log10(XDataNumericCopy[i]) XDataNumericCopy[i] = XDataNumericCopy[i].round()
XDataNumericCopy[i] = XDataNumericCopy[i].round() for number in range(1,6):
for number in range(1,6): quadrantVariable = str('quadrant%s' % number)
quadrantVariable = str('quadrant%s' % number) illusion = locals()[quadrantVariable]
illusion = locals()[quadrantVariable] d["DataRows{0}".format(number)] = XDataNumericCopy.iloc[illusion, :]
d["DataRows{0}".format(number)] = XDataNumericCopy.iloc[illusion, :] dicTransf["transf2"] = NewComputationTransf(d['DataRows1'], d['DataRows2'], d['DataRows3'], d['DataRows4'], d['DataRows5'], quadrant1, quadrant2, quadrant3, quadrant4, quadrant5, i, count)
dicTransf["roundLog10"] = NewComputationTransf(d['DataRows1'], d['DataRows2'], d['DataRows3'], d['DataRows4'], d['DataRows5'], quadrant1, quadrant2, quadrant3, quadrant4, quadrant5, i, count) splittedCol = columnsNames[(count)*len(listofTransformations)+2]
if(len(splittedCol) == 1):
d={}
XDataNumericCopy = XDataNumeric.copy()
for number in range(1,6):
quadrantVariable = str('quadrant%s' % number)
illusion = locals()[quadrantVariable]
d["DataRows{0}".format(number)] = XDataNumericCopy.iloc[illusion, :]
dicTransf["transf3"] = NewComputationTransf(d['DataRows1'], d['DataRows2'], d['DataRows3'], d['DataRows4'], d['DataRows5'], quadrant1, quadrant2, quadrant3, quadrant4, quadrant5, i, count)
else:
d={}
XDataNumericCopy = XDataNumeric.copy()
XDataNumericCopy[i] = np.log2(XDataNumericCopy[i])
XDataNumericCopy[i] = XDataNumericCopy[i].round()
for number in range(1,6):
quadrantVariable = str('quadrant%s' % number)
illusion = locals()[quadrantVariable]
d["DataRows{0}".format(number)] = XDataNumericCopy.iloc[illusion, :]
dicTransf["transf3"] = NewComputationTransf(d['DataRows1'], d['DataRows2'], d['DataRows3'], d['DataRows4'], d['DataRows5'], quadrant1, quadrant2, quadrant3, quadrant4, quadrant5, i, count)
splittedCol = columnsNames[(count)*len(listofTransformations)+3]
if(len(splittedCol) == 1):
d={}
XDataNumericCopy = XDataNumeric.copy()
for number in range(1,6):
quadrantVariable = str('quadrant%s' % number)
illusion = locals()[quadrantVariable]
d["DataRows{0}".format(number)] = XDataNumericCopy.iloc[illusion, :]
dicTransf["transf4"] = NewComputationTransf(d['DataRows1'], d['DataRows2'], d['DataRows3'], d['DataRows4'], d['DataRows5'], quadrant1, quadrant2, quadrant3, quadrant4, quadrant5, i, count)
else:
d={}
XDataNumericCopy = XDataNumeric.copy()
XDataNumericCopy[i] = np.log10(XDataNumericCopy[i])
XDataNumericCopy[i] = XDataNumericCopy[i].round()
for number in range(1,6):
quadrantVariable = str('quadrant%s' % number)
illusion = locals()[quadrantVariable]
d["DataRows{0}".format(number)] = XDataNumericCopy.iloc[illusion, :]
dicTransf["transf4"] = NewComputationTransf(d['DataRows1'], d['DataRows2'], d['DataRows3'], d['DataRows4'], d['DataRows5'], quadrant1, quadrant2, quadrant3, quadrant4, quadrant5, i, count)
packCorrTransformed.append(dicTransf) packCorrTransformed.append(dicTransf)
return 'Everything Okay' return 'Everything Okay'
@ -1164,6 +1256,7 @@ def Seperation():
packCorr.append(list(XDataStored.columns.values.tolist())) packCorr.append(list(XDataStored.columns.values.tolist()))
packCorr.append(list(XData.columns.values.tolist())) packCorr.append(list(XData.columns.values.tolist()))
packCorr.append(json.dumps(columnsNames))
return 'Everything Okay' return 'Everything Okay'
@ -1203,7 +1296,7 @@ def ManipulFeat():
featureProcess = request.get_data().decode('utf8').replace("'", '"') featureProcess = request.get_data().decode('utf8').replace("'", '"')
featureProcess = json.loads(featureProcess) featureProcess = json.loads(featureProcess)
featureProcessExtract = featureProcess['featureAddRem'] featureProcessExtract = featureProcess['featureAddRem']
executeModel(featureProcessExtract, 1) executeModel(featureProcessExtract, 1, '')
return 'Okay' return 'Okay'
@cross_origin(origin='localhost',headers=['Content-Type','Authorization']) @cross_origin(origin='localhost',headers=['Content-Type','Authorization'])
@ -1212,7 +1305,7 @@ def ManipulFeatGen():
featureProcess = request.get_data().decode('utf8').replace("'", '"') featureProcess = request.get_data().decode('utf8').replace("'", '"')
featureProcess = json.loads(featureProcess) featureProcess = json.loads(featureProcess)
featureProcessExtract = featureProcess['featureAddRemGen'] featureProcessExtract = featureProcess['featureAddRemGen']
executeModel(featureProcessExtract, 2) executeModel(featureProcessExtract, 2, '')
return 'Okay' return 'Okay'
@cross_origin(origin='localhost',headers=['Content-Type','Authorization']) @cross_origin(origin='localhost',headers=['Content-Type','Authorization'])
@ -1314,5 +1407,15 @@ def CompareFunPy():
@cross_origin(origin='localhost',headers=['Content-Type','Authorization']) @cross_origin(origin='localhost',headers=['Content-Type','Authorization'])
@app.route('/data/storeGeneratedFeatures', methods=["GET", "POST"]) @app.route('/data/storeGeneratedFeatures', methods=["GET", "POST"])
def storeGeneratedFeat(): def storeGeneratedFeat():
executeModel([], 3) executeModel([], 3, '')
return 'Okay'
@cross_origin(origin='localhost',headers=['Content-Type','Authorization'])
@app.route('/data/transformation', methods=["GET", "POST"])
def transformFeatures():
retrieveTransform = request.get_data().decode('utf8').replace("'", '"')
retrieveTransform = json.loads(retrieveTransform)
clickedNodeName = retrieveTransform['nameClicked']
removeNodeID = retrieveTransform['removeNode']
executeModel([removeNodeID[1]], 4, clickedNodeName[0])
return 'Okay' return 'Okay'
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