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Angelos Chatzimparmpas 4 years ago
parent 923adaebed
commit d0fffd5c73
3 changed files with 249 additions and 63 deletions
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  1. BIN
      __pycache__/run.cpython-37.pyc
  2. 200
      frontend/src/components/FeatureSpace2.vue
  3. 14
      run.py

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__pycache__/run.cpython-37.pyc
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frontend/src/components/FeatureSpace2.vue
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@ -22,8 +22,9 @@ export default {
},
methods: {
initializeNetwork () {
var dataLoc = JSON.parse(this.dataFS2[3])
var listofNodes = this.dataFS2[0]
var dataLoc = JSON.parse(this.dataFS2[3])
var nodes = []
listofNodes.forEach(element => nodes.push({"name": element}))
@ -50,11 +51,79 @@ export default {
},
graphVizualization () {
var uniqueTarget = JSON.parse(this.dataFS2[15])
var corrTarget = JSON.parse(this.dataFS2[7])
var corrGlob = JSON.parse(this.dataFS2[11])
var VIFVar = JSON.parse(this.dataFS2[19])
var MIVar = JSON.parse(this.dataFS2[23])
var colorCateg = d3.scaleOrdinal(d3.schemeAccent)
var corrTargetFormatted = []
for (let i = 0; i < Object.keys(corrTarget).length; i++) {
var corrTargetFormattedLoc = []
for (let j = 0; j < Object.keys(corrTarget[i]).length; j++) {
if (j > uniqueTarget.length - 1) {
corrTargetFormattedLoc.push(Math.round(Object.values(corrTarget[i])[j] * 100))
}
}
corrTargetFormatted.push(corrTargetFormattedLoc)
}
var corrGlobFormatted = []
for (let i = 0; i < Object.keys(corrGlob).length; i++) {
if (i != 0) {
corrGlobFormatted.push(Math.round(Object.values(corrGlob)[i]['0'] * 100))
}
}
var VIFVarFormatted = []
for (let i = 0; i < Object.keys(VIFVar).length; i++) {
if (i != 0) {
if (Object.values(VIFVar)[i] > 10) {
VIFVarFormatted.push(2)
} else if (Object.values(VIFVar)[i] > 5) {
VIFVarFormatted.push(1)
} else {
VIFVarFormatted.push(0)
}
}
}
function min(input) {
if (toString.call(input) !== "[object Array]")
return false;
return Math.min.apply(null, input);
}
function max(input) {
if (toString.call(input) !== "[object Array]")
return false;
return Math.max.apply(null, input);
}
function normalize(min, max) {
var delta = max - min;
return function (val) {
return (val - min) / delta;
};
}
var MIMin = min(MIVar)
var MIMax = max(MIVar)
MIVar = MIVar.map(normalize(MIMin, MIMax))
var colorsScaleNodes = d3.scaleLinear()
.domain(d3.ticks(MIMin, MIMax, 5))
.range(['#fb6a4a','#ef3b2c','#cb181d','#a50f15','#67000d']);
var svg = d3.select("#FeatureGraph2");
svg.selectAll("*").remove();
var width = 600;
var height = 500;
var marginSVG = { top: 0, right: 50, bottom: 0, left: 50}
var width = 800;
var height = 600;
var numTicks = 200;
@ -64,8 +133,8 @@ export default {
var dispatch = d3.dispatch('layoutend');
svg = d3.select("#FeatureGraph2").append("svg")
.attr("width", width)
.attr("height", height);
.attr("width", width + marginSVG.left + marginSVG.right)
.attr("height", height + marginSVG.top + marginSVG.bottom);
var graph = this.jsonData
@ -142,8 +211,115 @@ export default {
++i;
if (i >= paramList.length) {
var circles = node.append("circle")
.attr("r", 5);
// var data = [[
// {value: 70, label: "", color: '#ff0000', lcolor: ''},
// {value: 33, label: "", color: '#00ff00', lcolor: ''},
// {value: 100, label: "44.5", color: '#000000', lcolor: 'black'}
// ];]
var data = []
for(let k = 0; k < uniqueTarget.length; k++) {
data.push({value: corrTargetFormatted[k][0], label: '', color: colorCateg(uniqueTarget[k]), lcolor: ''})
}
data.push({value: 100, label: corrGlobFormatted[0], color: '#000000', lcolor: colorsScaleNodes(MIVar[0])})
var length = data.length
var border = VIFVarFormatted[0]
var widthLoc = 100;
var arcSize = (6 * widthLoc / 100);
var innerRadius = arcSize * 2;
var svgNodes = node.append('svg').attr('width', widthLoc).attr('height', widthLoc);
var arcs = data.map(function (obj, i) {
var data = []
for(let k = 0; k < uniqueTarget.length; k++) {
data.push({value: corrTargetFormatted[k][0], label: '', color: colorCateg(uniqueTarget[k]), lcolor: ''})
}
data.push({value: 100, label: corrGlobFormatted[0], color: '#000000', lcolor: colorsScaleNodes(MIVar[0])})
var length = data.length
var border = VIFVarFormatted[i]
if (i == length - 1) {
return d3.arc().innerRadius(i * arcSize + innerRadius).outerRadius((i + 1) * arcSize - (widthLoc / 100) + innerRadius + border);
} else {
return d3.arc().innerRadius(i * arcSize + innerRadius).outerRadius((i + 1) * arcSize - (widthLoc / 100) + innerRadius);
}
});
var arcsGrey = data.map(function (obj, i) {
return d3.arc().innerRadius(i * arcSize + (innerRadius + ((arcSize / 2) - 2))).outerRadius((i + 1) * arcSize - ((arcSize / 2)) + (innerRadius));
});
var pieData = data.map(function (obj, i) {
return [
{value: obj.value, arc: arcs[i], object: obj},
{value: (100 - obj.value), arc: arcsGrey[i], object: obj},
{value: 0, arc: arcs[i], object: obj}];
});
var pie = d3.pie().sort(null).value(function (d) {
return d.value;
});
var g = svgNodes.select('g').data(pieData).enter()
.append('g')
.attr('transform', 'translate(' + widthLoc / 2 + ',' + widthLoc / 2 + ') rotate(180)');
var gText = svgNodes.selectAll('g.textClass').data([{}]).enter()
.append('g')
.classed('textClass', true)
.attr('transform', 'translate(' + widthLoc / 2 + ',' + widthLoc / 2 + ') rotate(180)');
g.selectAll('path').data(function (d) {
return pie(d);
}).enter().append('path')
.attr('id', function (d, i) {
if (i == 1) {
return "Text" + d.data.object.label
}
})
.attr('d', function (d) {
return d.data.arc(d);
}).attr('fill', function (d, i) {
return i == 0 ? d.data.object.color : i == 1 ? '#D3D3D3' : 'none';
});
svgNodes.selectAll('g').each(function (d, index) {
var el = d3.select(this);
var path = el.selectAll('path').each(function (r, i) {
if (i === 1) {
var centroid = r.data.arc.centroid({
startAngle: r.startAngle + 0.05,
endAngle: r.startAngle + 0.001 + 0.05
});
var lableObj = r.data.object;
g.append('text')
.attr('font-size', ((2 * width) / 100))
.attr('dominant-baseline', 'central')
.append("textPath")
.attr("textLength", function (d, i) {
return 0;
})
.attr("startOffset", '5')
.attr("dy", '-3em')
.text(lableObj.value + '%');
}
if (i === 0) {
var centroidText = r.data.arc.centroid({
startAngle: r.startAngle,
endAngle: r.startAngle
});
var lableObj = r.data.object;
gText.append('text')
.attr('font-size', ((2 * width) / 100))
.text(lableObj.label)
.style('fill', lableObj.lcolor)
.attr('transform', "translate(" + (6) + "," + (0 + ") rotate(" + (180) + ")"))
.attr('dominant-baseline', 'central');
}
});
});
var drag_handler = d3.drag()
.on("start", drag_start)
@ -156,8 +332,8 @@ export default {
.text(function(d) {
return d.name;
})
.attr('x', 6)
.attr('y', 3);
.attr('x', 20)
.attr('y', 15);
node.append('title').text(function (d) { return d.name; });
@ -175,7 +351,6 @@ export default {
}
function drag_start(d) {
console.log(d)
if (!d3.event.active) forceSim.alphaTarget(0.3).restart();
d.fx = d.x;
d.fy = d.y;
@ -207,7 +382,9 @@ export default {
.attr('y2', function (d) { return d.target.y; });
node
.attr("transform", function(d) {
.attr("transform", function(d, i) {
d.x = d.x - 50
d.y = d.y - 50
return "translate(" + d.x + "," + d.y + ")";
})
};
@ -298,7 +475,6 @@ export default {
text {
font-family: sans-serif;
font-size: 10px;
}
svg {

14
run.py
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@ -509,9 +509,13 @@ def Seperation():
DataRows4 = XData.iloc[quadrant4, :]
corrMatrix1 = DataRows1.corr()
corrMatrix1 = corrMatrix1.abs()
corrMatrix2 = DataRows2.corr()
corrMatrix2 = corrMatrix2.abs()
corrMatrix3 = DataRows3.corr()
corrMatrix3 = corrMatrix3.abs()
corrMatrix4 = DataRows4.corr()
corrMatrix4 = corrMatrix4.abs()
DataRows1 = DataRows1.reset_index(drop=True)
DataRows2 = DataRows2.reset_index(drop=True)
@ -540,6 +544,7 @@ def Seperation():
hotEncoderDF1 = pd.DataFrame(onehotEncoder1)
concatDF1 = pd.concat([DataRows1, hotEncoderDF1], axis=1)
corrMatrixComb1 = concatDF1.corr()
corrMatrixComb1 = corrMatrixComb1.abs()
corrMatrixComb1 = corrMatrixComb1.iloc[:,-len(uniqueTarget1):]
X1 = add_constant(DataRows1.dropna())
VIF1 = pd.Series([variance_inflation_factor(X1.values, i)
@ -562,6 +567,7 @@ def Seperation():
hotEncoderDF2 = pd.DataFrame(onehotEncoder2)
concatDF2 = pd.concat([DataRows2, hotEncoderDF2], axis=1)
corrMatrixComb2 = concatDF2.corr()
corrMatrixComb2 = corrMatrixComb2.abs()
corrMatrixComb2 = corrMatrixComb2.iloc[:,-len(uniqueTarget2):]
X2 = add_constant(DataRows2.dropna())
VIF2 = pd.Series([variance_inflation_factor(X2.values, i)
@ -584,14 +590,13 @@ def Seperation():
hotEncoderDF3 = pd.DataFrame(onehotEncoder3)
concatDF3 = pd.concat([DataRows3, hotEncoderDF3], axis=1)
corrMatrixComb3 = concatDF3.corr()
corrMatrixComb3 = corrMatrixComb3.abs()
corrMatrixComb3 = corrMatrixComb3.iloc[:,-len(uniqueTarget3):]
X3 = add_constant(DataRows3.dropna())
VIF3 = pd.Series([variance_inflation_factor(X3.values, i)
for i in range(X3.shape[1])],
index=X3.columns)
if (len(targetRows3Arr) > 2):
print(DataRows3)
print(targetRows3Arr)
MI3 = mutual_info_classif(DataRows3, targetRows3Arr)
MI3List = MI3.tolist()
else:
@ -608,6 +613,7 @@ def Seperation():
hotEncoderDF4 = pd.DataFrame(onehotEncoder4)
concatDF4 = pd.concat([DataRows4, hotEncoderDF4], axis=1)
corrMatrixComb4 = concatDF4.corr()
corrMatrixComb4 = corrMatrixComb4.abs()
corrMatrixComb4 = corrMatrixComb4.iloc[:,-len(uniqueTarget4):]
X4 = add_constant(DataRows4.dropna())
VIF4 = pd.Series([variance_inflation_factor(X4.values, i)
@ -634,9 +640,13 @@ def Seperation():
concatAllDF4 = pd.concat([DataRows4, targetRows4ArrDF], axis=1)
corrMatrixCombTotal1 = concatAllDF1.corr()
corrMatrixCombTotal1 = corrMatrixCombTotal1.abs()
corrMatrixCombTotal2 = concatAllDF2.corr()
corrMatrixCombTotal2 = corrMatrixCombTotal2.abs()
corrMatrixCombTotal3 = concatAllDF3.corr()
corrMatrixCombTotal3 = corrMatrixCombTotal3.abs()
corrMatrixCombTotal4 = concatAllDF4.corr()
corrMatrixCombTotal4 = corrMatrixCombTotal4.abs()
corrMatrixCombTotal1 = pd.concat([corrMatrixCombTotal1.tail(1)])
corrMatrixCombTotal2 = pd.concat([corrMatrixCombTotal2.tail(1)])

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