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Angelos Chatzimparmpas 5 years ago
parent 35ac0b2011
commit 2bd14c6470
18 changed files with 321 additions and 102 deletions
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  1. 1
      cachedir/joblib/run/randomSearch/0bdb0a3994557b46f8e06fc3ddb42976/metadata.json
  2. 1
      cachedir/joblib/run/randomSearch/20516fbabb68f3b95016dc6e7620c891/metadata.json
  3. 1
      cachedir/joblib/run/randomSearch/4c7c0701fcdc8bd6356e4638f53e5d81/metadata.json
  4. BIN
      cachedir/joblib/run/randomSearch/5a08a689ad06c9bdb904412b312337a8/output.pkl
  5. 1
      cachedir/joblib/run/randomSearch/97b072a4213180c78544732e6bf6bbb5/metadata.json
  6. BIN
      cachedir/joblib/run/randomSearch/b19e4bb2f21216f2a9f8149bdc53b595/output.pkl
  7. BIN
      cachedir/joblib/run/randomSearch/fd6b570dcb668227b263f665cb66167e/output.pkl
  8. BIN
      cachedir/joblib/run/randomSearch/fe4080e78f5622764cbad1b75bcf5ccd/output.pkl
  9. 79
      frontend/src/components/AlgorithmsController.vue
  10. 2
      frontend/src/components/Ensemble.vue
  11. 2
      frontend/src/components/Export.vue
  12. 16
      frontend/src/components/History.vue
  13. 2
      frontend/src/components/HyperParameterSpace.vue
  14. 19
      frontend/src/components/Main.vue
  15. 1
      frontend/src/components/PerformanceMetrics.vue
  16. 90
      frontend/src/components/Predictions.vue
  17. 115
      frontend/src/components/ValidationController.vue
  18. 93
      frontend/src/components/VotingResults.vue

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cachedir/joblib/run/randomSearch/0bdb0a3994557b46f8e06fc3ddb42976/metadata.json
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{"duration": 155.17029309272766, "input_args": {"XData": " Fbs Slope Trestbps Exang Thalach Age Chol Sex Oldpeak Restecg Cp Ca Thal\n0 1 0 145 0 150 63 233 1 2.3 0 3 0 1\n1 0 0 130 0 187 37 250 1 3.5 1 2 0 2\n2 0 2 130 0 172 41 204 0 1.4 0 1 0 2\n3 0 2 120 0 178 56 236 1 0.8 1 1 0 2\n4 0 2 120 1 163 57 354 0 0.6 1 0 0 2\n.. ... ... ... ... ... ... ... ... ... ... .. .. ...\n298 0 1 140 1 123 57 241 0 0.2 1 0 0 3\n299 0 1 110 0 132 45 264 1 1.2 1 3 0 3\n300 1 1 144 0 141 68 193 1 3.4 1 0 2 3\n301 0 1 130 1 115 57 131 1 1.2 1 0 1 3\n302 0 1 130 0 174 57 236 0 0.0 0 1 1 2\n\n[303 rows x 13 columns]", "yData": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]", "clf": "RandomForestClassifier(max_depth=12, n_estimators=58, random_state=42)", "params": "{'n_estimators': [20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99], 'max_depth': [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], 'criterion': ['gini', 'entropy']}", "eachAlgor": "'RF'", "AlgorithmsIDsEnd": "600"}}

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cachedir/joblib/run/randomSearch/4c7c0701fcdc8bd6356e4638f53e5d81/metadata.json
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{"duration": 212.6512849330902, "input_args": {"XData": " Fbs Slope Trestbps Exang Thalach Age Chol Sex Oldpeak Restecg Cp Ca Thal\n0 1 0 145 0 150 63 233 1 2.3 0 3 0 1\n1 0 0 130 0 187 37 250 1 3.5 1 2 0 2\n2 0 2 130 0 172 41 204 0 1.4 0 1 0 2\n3 0 2 120 0 178 56 236 1 0.8 1 1 0 2\n4 0 2 120 1 163 57 354 0 0.6 1 0 0 2\n.. ... ... ... ... ... ... ... ... ... ... .. .. ...\n298 0 1 140 1 123 57 241 0 0.2 1 0 0 3\n299 0 1 110 0 132 45 264 1 1.2 1 3 0 3\n300 1 1 144 0 141 68 193 1 3.4 1 0 2 3\n301 0 1 130 1 115 57 131 1 1.2 1 0 1 3\n302 0 1 130 0 174 57 236 0 0.0 0 1 1 2\n\n[303 rows x 13 columns]", "yData": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]", "clf": "MLPClassifier(alpha=0.00041000000000000005, hidden_layer_sizes=(71, 3),\n max_iter=100, random_state=42, solver='sgd',\n tol=0.0008100000000000001)", "params": "{'hidden_layer_sizes': [(60, 3), (61, 1), (62, 1), (63, 3), (64, 2), (65, 1), (66, 1), (67, 1), (68, 3), (69, 1), (70, 3), (71, 3), (72, 3), (73, 1), (74, 3), (75, 2), (76, 1), (77, 1), (78, 1), (79, 1), (80, 1), (81, 3), (82, 3), (83, 1), (84, 3), (85, 1), (86, 3), (87, 3), (88, 3), (89, 3), (90, 2), (91, 1), (92, 2), (93, 3), (94, 2), (95, 1), (96, 1), (97, 3), (98, 2), (99, 2), (100, 2), (101, 1), (102, 1), (103, 2), (104, 1), (105, 1), (106, 2), (107, 1), (108, 2), (109, 2), (110, 3), (111, 2), (112, 1), (113, 3), (114, 2), (115, 3), (116, 1), (117, 2), (118, 1), (119, 3)], 'alpha': [1e-05, 0.00021, 0.00041000000000000005, 0.0006100000000000001, 0.0008100000000000001], 'tol': [1e-05, 0.00041000000000000005, 0.0008100000000000001], 'max_iter': [100], 'activation': ['relu', 'identity', 'logistic', 'tanh'], 'solver': ['adam', 'sgd']}", "eachAlgor": "'MLP'", "AlgorithmsIDsEnd": "600"}}

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{"duration": 85.05796194076538, "input_args": {"XData": " Fbs Slope Trestbps Exang Thalach Age Chol Sex Oldpeak Restecg Cp Ca Thal\n0 1 0 145 0 150 63 233 1 2.3 0 3 0 1\n1 0 0 130 0 187 37 250 1 3.5 1 2 0 2\n2 0 2 130 0 172 41 204 0 1.4 0 1 0 2\n3 0 2 120 0 178 56 236 1 0.8 1 1 0 2\n4 0 2 120 1 163 57 354 0 0.6 1 0 0 2\n.. ... ... ... ... ... ... ... ... ... ... .. .. ...\n298 0 1 140 1 123 57 241 0 0.2 1 0 0 3\n299 0 1 110 0 132 45 264 1 1.2 1 3 0 3\n300 1 1 144 0 141 68 193 1 3.4 1 0 2 3\n301 0 1 130 1 115 57 131 1 1.2 1 0 1 3\n302 0 1 130 0 174 57 236 0 0.0 0 1 1 2\n\n[303 rows x 13 columns]", "yData": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]", "clf": "LogisticRegression(C=78, max_iter=150, random_state=42)", "params": "{'C': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99], 'max_iter': [50, 100, 150, 200, 250, 300, 350, 400, 450], 'solver': ['lbfgs', 'newton-cg', 'sag', 'saga'], 'penalty': ['l2', 'none']}", "eachAlgor": "'LR'", "AlgorithmsIDsEnd": "600"}}

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79
frontend/src/components/AlgorithmsController.vue
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@ -5,6 +5,10 @@
<script>
import * as Plotly from 'plotly.js'
import { EventBus } from '../main.js'
import * as d3Base from 'd3'
// attach all d3 plugins to the d3 library
const d3v5 = Object.assign(d3Base)
export default {
name: "AlgorithmsController",
@ -109,9 +113,9 @@ export default {
}
else {
if (this.selectedEnsem.includes(mergedStoreEnsembleLoc[i])) {
data.push({Algorithm:"GradB",value:this.PerF[i], size:4, sw:true})
data.push({Algorithm:"GradB",value:this.PerF[i], size:5, sw:true})
} else {
data.push({Algorithm:"GradB",value:this.PerF[i], size:4, sw:false})
data.push({Algorithm:"GradB",value:this.PerF[i], size:5, sw:false})
}
}
}
@ -1167,14 +1171,16 @@ export default {
if (cPlot.objs.points) {
if (dOpts.plotType == 'beeswarm') {
var swarmBounds = getObjWidth(100, cName);
console.log(swarmBounds)
var yPtScale = chart.yScale.copy()
.range([Math.floor(chart.yScale.range()[0] / dOpts.pointSize), 0])
.interpolate(d3.interpolateRound)
//.interpolate(d3.interpolateRound)
.domain(chart.yScale.domain());
var maxWidth = Math.ceil(chart.xScale.rangeBand() / dOpts.pointSize);
console.log(maxWidth)
var ptsObj = {};
var cYBucket = null;
// Bucket points
for (var pt = 0; pt < cGroup.values.length; pt++) {
cYBucket = yPtScale(cGroup.values[pt]);
@ -1195,38 +1201,37 @@ export default {
col++
}
}
} else { // For scatter points and points with no scatter
var plotBounds = null,
scatterWidth = 0,
width = 0;
if (dOpts.plotType == 'scatter' || typeof dOpts.plotType == 'number') {
//Default scatter percentage is 20% of box width
scatterWidth = typeof dOpts.plotType == 'number' ? dOpts.plotType : 20;
}
plotBounds = getObjWidth(scatterWidth, cName);
width = plotBounds.right - plotBounds.left;
for (var pt = 0; pt < cGroup.values.length; pt++) {
cPlot.objs.points.pts[pt]
.attr("cx", plotBounds.middle + addJitter(true, width))
.attr("cy", chart.yScale(cGroup.values[pt]));
}
}
// FIX THAT!
// let simulation = d3v5.forceSimulation(chart.data)
// .force("x", d3v5.forceX((d) => {
// return chart.xScale(d.Algorithm);
// }).strength(0.2))
// .force("y", d3v5.forceY((d) => {
// return chart.yScale(d.value);
// }).strength(1))
// .force("collide", d3v5.forceCollide((d) => {
// return d.size;
// }))
// .alphaDecay(0)
// .alpha(0.3)
// .on("tick", tick);
// function tick() {
// d3v5.selectAll(".CirclePoint")
// .attr("cx", (d) => d.x)
// .attr("cy", (d) => d.y);
// }
// let init_decay = setTimeout(function () {
// console.log("start alpha decay");
// simulation.alphaDecay(0.1);
// }, 3000); // start decay after 3 seconds
}
}
if (cPlot.objs.bean) {
var beanBounds = getObjWidth(dOpts.beanWidth, cName);
for (var pt = 0; pt < cGroup.values.length; pt++) {
cPlot.objs.bean.lines[pt]
.attr("x1", beanBounds.left)
.attr("x2", beanBounds.right)
.attr('y1', chart.yScale(cGroup.values[pt]))
.attr("y2", chart.yScale(cGroup.values[pt]));
}
}
}
};
@ -1287,7 +1292,7 @@ export default {
cPlot.objs.points.g = cPlot.objs.g.append("g").attr("class", "points-plot");
for (var pt = 0; pt < chart.groupObjs[cName].values.length; pt++) {
cPlot.objs.points.pts.push(cPlot.objs.points.g.append("circle")
.attr("class", "point")
.attr("class", "CirclePoint")
.attr('r', function () {
var dataLoc = data.filter( i => cName.includes( i.Algorithm ) );
return dataLoc[pt].size;
@ -1422,7 +1427,7 @@ export default {
}
/* Point Plots*/
.chart-wrapper .points-plot .point {
.chart-wrapper .points-plot .CirclePoint {
stroke: black;
stroke-width: 1px;
}

2
frontend/src/components/Ensemble.vue
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@ -307,6 +307,7 @@ export default {
selectedPointsOverview () {
const OverviewPlotly = document.getElementById('OverviewPlotlyCM')
var allModels = JSON.parse(this.ScatterPlotResults[0])
var ResultsAll = this.ScatterPlotResults
OverviewPlotly.on('plotly_selected', function (evt) {
if (typeof evt !== 'undefined') {
var pushModelsRemainingTempCM = []
@ -326,6 +327,7 @@ export default {
}
}
EventBus.$emit('RemainingPointsCM', pushModelsRemainingTempCM)
EventBus.$emit('callValidationData', ResultsAll)
EventBus.$emit('SendSelectedPointsUpdateIndicatorCM', ClassifierIDsListCM)
EventBus.$emit('SendSelectedPointsToServerEventCM', ClassifierIDsListCM)
}

2
frontend/src/components/Export.vue
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@ -2,7 +2,7 @@
<div id="ExportResults">
=======================================================
<br>
IDs of Models/Algorithms and Hyper-parameters: {{ ModelsPickled }}
Models/Algorithms and Hyper-parameters: {{ ModelsPickled }}
<br>
=======================================================
</div>

16
frontend/src/components/History.vue
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@ -325,7 +325,7 @@ export default {
{month:"Crossover_S2_Prime'",value:125,loss:null},
{month:"Mutate_S2_Prime",value:125,loss:null}];
//this is the svg canvas attributes: (not buidlign abything just seeting up varaibels)
var margin = {top: 10, right: 40, bottom: 10, left: 40}, //comma is the equivalent of var :
var margin = {top: 0, right: 40, bottom: 0, left: 40}, //comma is the equivalent of var :
width = 1250 - margin.left - margin.right,
height = 350 - margin.top - margin.bottom;
@ -495,9 +495,9 @@ export default {
var colorDiff
colorDiff = d3v5.scaleSequential(d3v5.interpolatePRGn).domain([-100, 100])
var percentage = this.percentageOverall
console.log(percentage)
var previousPercentage = this.storePreviousPercentage
console.log(previousPercentage)
// add in the links
var link = svg.append("g").selectAll(".link")
.data(graph.links)
@ -691,7 +691,7 @@ export default {
.attr("font-family","sans-serif")
.attr("font-size",18.5)
.attr("fill","black")
.attr("x",32)
.attr("x",20)
.attr("y",30)
.attr("transform",
"translate(" + -45 + "," + 0 + ") scale(1,-1) translate(" + 0 + "," + -(height) + ") rotate(-90 150 150)");
@ -873,7 +873,7 @@ export default {
{month:"Crossover_S2_Prime'",value:125,loss:null},
{month:"Mutate_S2_Prime",value:125,loss:null}];
//this is the svg canvas attributes: (not buidlign abything just seeting up varaibels)
var margin = {top: 10, right: 40, bottom: 10, left: 40}, //comma is the equivalent of var :
var margin = {top: 0, right: 40, bottom: 0, left: 40}, //comma is the equivalent of var :
width = 1230 - margin.left - margin.right,
height = 350 - margin.top - margin.bottom;
@ -1220,7 +1220,7 @@ export default {
.attr("font-family","sans-serif")
.attr("font-size",18.5)
.attr("fill","black")
.attr("x",32)
.attr("x",20)
.attr("y",30)
.attr("transform",
"translate(" + -45 + "," + 0 + ") scale(1,-1) translate(" + 0 + "," + -(height) + ") rotate(-90 150 150)");
@ -1243,7 +1243,7 @@ export default {
{month:"Crossover_S1",value:250,loss:null},
{month:"Mutate_S1",value:250,loss:null}];
//this is the svg canvas attributes: (not buidlign abything just seeting up varaibels)
var margin = {top: 10, right: 40, bottom: 10, left: 40}, //comma is the equivalent of var :
var margin = {top: 0, right: 40, bottom: 0, left: 40}, //comma is the equivalent of var :
width = 1230 - margin.left - margin.right,
height = 350 - margin.top - margin.bottom;
@ -1506,7 +1506,7 @@ export default {
.attr("font-family","sans-serif")
.attr("font-size",18.5)
.attr("fill","black")
.attr("x",32)
.attr("x",20)
.attr("y",30)
.attr("transform",
"translate(" + -45 + "," + 0 + ") scale(1,-1) translate(" + 0 + "," + -(height) + ") rotate(-90 150 150)");

2
frontend/src/components/HyperParameterSpace.vue
Unescape View File

@ -304,6 +304,7 @@ export default {
selectedPointsOverview () {
const OverviewPlotly = document.getElementById('OverviewPlotly')
var allModels = JSON.parse(this.ScatterPlotResults[0])
var ResultsAll = this.ScatterPlotResults
OverviewPlotly.on('plotly_selected', function (evt) {
if (typeof evt !== 'undefined') {
var pushModelsRemainingTemp = []
@ -326,6 +327,7 @@ export default {
}
//EventBus.$on('RemainingPointsIndices', indices)
EventBus.$emit('RemainingPoints', pushModelsRemainingTemp)
EventBus.$emit('callValidationData', ResultsAll)
EventBus.$emit('SendSelectedPointsUpdateIndicator', ClassifierIDsList)
EventBus.$emit('SendSelectedPointsToServerEvent', ClassifierIDsList)
}

19
frontend/src/components/Main.vue
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@ -184,7 +184,7 @@
<div id="myModal" class="w3-modal" style="position: fixed;">
<div class="w3-modal-content w3-card-4 w3-animate-zoom">
<header class="w3-container w3-blue">
<h3 style="display:inline-block; font-size: 16px; margin-top: 15px; margin-bottom:15px">Majority-Voting Ensemble Extraction (using Cryo)</h3>
<h3 style="display:inline-block; font-size: 22px; margin-top: 15px; margin-bottom:15px">Majority-Voting Ensemble Extraction (using Cryo)</h3>
</header>
<Export/>
<div class="w3-container w3-light-grey w3-padding">
@ -222,7 +222,8 @@ import 'axios-progress-bar/dist/nprogress.css'
import 'bootstrap-css-only/css/bootstrap.min.css'
import { mdbCard, mdbCardBody, mdbCardText, mdbCardHeader } from 'mdbvue'
import { EventBus } from '../main.js'
import $ from 'jquery'
import $ from "jquery";
import 'bootstrap';
import * as d3Base from 'd3'
import Papa from 'papaparse'
@ -378,6 +379,7 @@ export default Vue.extend({
EventBus.$emit('callValidation')
EventBus.$emit('emittedEventCallingGrid', this.OverviewResults)
EventBus.$emit('emittedEventCallingGridSelection', this.OverviewResults)
EventBus.$emit('emittedEventCallingInfo', this.OverviewResults)
EventBus.$emit('LegendPredict')
this.storeBothEnsCM[0] = this.OverviewResults
this.firstTimeExec = false
@ -396,17 +398,15 @@ export default Vue.extend({
EventBus.$emit('emittedEventCallingSankeyStage3')
EventBus.$emit('hideCrossMut')
}
EventBus.$emit('emittedEventCallingGrid', this.OverviewResults)
EventBus.$emit('SendSelectedPointsToServerEvent', this.PredictSelEnsem)
this.storeBothEnsCM[1] = this.OverviewResults
//EventBus.$emit('emittedEventCallingGridSelection', this.OverviewResults)
EventBus.$emit('emittedEventCallingInfo', this.OverviewResults)
EventBus.$emit('callAlgorithhms')
EventBus.$emit('emittedEventCallingGrid', this.OverviewResults)
this.getFinalResults()
EventBus.$emit('emittedEventCallingGrid', this.OverviewResults)
EventBus.$emit('SendSelectedPointsToServerEvent', this.PredictSelEnsem)
//EventBus.$emit('emittedEventCallingGridSelection', this.OverviewResults)
EventBus.$emit('callValidationData', this.OverviewResults)
EventBus.$emit('callValidation')
EventBus.$emit('LegendPredictEnsem')
}
})
.catch(error => {
@ -437,7 +437,6 @@ export default Vue.extend({
EventBus.$emit('emittedEventCallingScatterPlot', this.OverviewResultsCM)
this.storeBothEnsCM[0] = this.OverviewResultsCM
EventBus.$emit('callAlgorithhms')
EventBus.$emit('callValidationData', this.OverviewResultsCM)
//EventBus.$emit('emittedEventCallingSankey', this.OverviewResultsCM)
//this.PredictSel = []
//EventBus.$emit('emittedEventCallingGrid', this.OverviewResultsCM)
@ -1133,8 +1132,6 @@ export default Vue.extend({
EventBus.$on('changeValues', data => { this.CMNumberofModelsOFFICIAL = data })
EventBus.$on('changeValues2', data => { this.CMNumberofModelsOFFICIALS2 = data })
EventBus.$on('OpenModal', this.openModalFun)
//Prevent double click to search for a word.
document.addEventListener('mousedown', function (event) {
if (event.detail > 1) {

1
frontend/src/components/PerformanceMetrics.vue
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@ -97,7 +97,6 @@
<script>
import { EventBus } from '../main.js'
import $ from 'jquery'
export default {
name: 'PerformanceMetrics',

90
frontend/src/components/Predictions.vue
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@ -1,7 +1,8 @@
<template>
<div>
<div id="containerForAll">
<div id="containerAll"></div>
<div id="containerSelection"></div>
<div id="LegendMain"></div>
<div id="LegendHeat"></div>
</div>
</template>
@ -9,7 +10,6 @@
<script>
import * as d3Base from 'd3'
import { EventBus } from '../main.js'
import $ from 'jquery'
import * as colorbr from 'colorbrewer'
// attach all d3 plugins to the d3 library
@ -26,6 +26,7 @@ export default {
predictSelection: [],
StoreIndices: [],
classesNumber: 9,
InfoPred: []
}
},
methods: {
@ -34,12 +35,15 @@ export default {
svg.selectAll("*").remove();
var svg = d3.select("#containerSelection");
svg.selectAll("*").remove();
var svgLegG = d3.select("#LegendMain");
svgLegG.selectAll("*").remove();
var svgLeg = d3.select("#LegendHeat");
svgLeg.selectAll("*").remove();
this.GetResultsAll = []
this.GetResultsSelection = []
this.predictSelection = []
this.StoreIndices = []
this.InfoPred = []
},
Grid () {
@ -162,7 +166,6 @@ export default {
}
var classStore = [].concat.apply([], classArray);
// === Set up canvas === //
var width = 1200,
@ -173,7 +176,7 @@ export default {
var canvas = d3.select('#containerAll')
.append('canvas')
.attr('width', width)
.attr('height', height);
.attr('height', height);
var context = canvas.node().getContext('2d');
@ -189,10 +192,10 @@ export default {
// === First call === //
databind(classStore, size, sqrtSize); // ...then update the databind function
var t = d3.timer(function(elapsed) {
draw();
if (elapsed > 1000) t.stop();
if (elapsed > 2000) t.stop();
}); // start a timer that runs the draw function for 500 ms (this needs to be higher than the transition in the databind function)
@ -238,7 +241,6 @@ export default {
.attr('width', 0)
.attr('height', 0)
.remove();
} // databind()
@ -436,7 +438,7 @@ export default {
var t = d3.timer(function(elapsed) {
draw();
if (elapsed > 1000) t.stop();
if (elapsed > 2000) t.stop();
}); // start a timer that runs the draw function for 500 ms (this needs to be higher than the transition in the databind function)
@ -522,16 +524,60 @@ export default {
var cellSizeHeat = 20
var legendElementWidth = cellSizeHeat * 3;
var info = JSON.parse(this.InfoPred[13])
// http://bl.ocks.org/mbostock/5577023
var colors = colorbrewer.PRGn[this.classesNumber];
var svgLegGl = d3.select("#LegendMain");
svgLegGl.selectAll("*").remove();
var svgLeg = d3.select("#LegendHeat");
svgLeg.selectAll("*").remove();
var svgLegGl = d3.select("#LegendMain").append("svg")
.attr("width", viewerWidth)
.attr("height", viewerHeight*0.35)
.style("margin-top", "0")
var initialValue = 35
var multiple = 105
var heightText = 180
svgLegGl.append("line")
.attr("x1", 614)
.attr("y1", 0)
.attr("x2", 614)
.attr("y2", heightText+30)
.style("stroke-width", 1)
.style("stroke", "black")
.style("fill", "none");
svgLegGl.append("text").attr("x", -52).attr("y", 12).text("All").style("font-size", "16px").style("font-weight", "bold").attr("alignment-baseline","top").attr("transform",
"rotate(-90)");
svgLegGl.append("text").attr("x", -142).attr("y", 12).text("Sel.").style("font-size", "16px").style("font-weight", "bold").attr("alignment-baseline","top").attr("transform",
"rotate(-90)");
svgLegGl.append("text").attr("x", initialValue).attr("y", heightText).text("Mean").style("font-size", "14px").attr("alignment-baseline","top")
svgLegGl.append("text").attr("x", initialValue+multiple*1).attr("y", heightText).text("KNN").style("font-size", "14px").attr("alignment-baseline","top")
svgLegGl.append("text").attr("x", initialValue+multiple*2).attr("y", heightText).text("LR").style("font-size", "14px").attr("alignment-baseline","top")
svgLegGl.append("text").attr("x", initialValue+multiple*3-5).attr("y", heightText).text("MLP").style("font-size", "14px").attr("alignment-baseline","top")
svgLegGl.append("text").attr("x", initialValue+multiple*4-6).attr("y", heightText).text("RF").style("font-size", "14px").attr("alignment-baseline","top")
svgLegGl.append("text").attr("x", initialValue+multiple*5-12).attr("y", heightText).text("GradB").style("font-size", "14px").attr("alignment-baseline","top")
svgLegGl.append("text").attr("x", initialValue+multiple*6-16).attr("y", heightText).text("Mean").style("font-size", "14px").attr("alignment-baseline","top")
svgLegGl.append("text").attr("x", initialValue+multiple*7-20).attr("y", heightText).text("KNN").style("font-size", "14px").attr("alignment-baseline","top")
svgLegGl.append("text").attr("x", initialValue+multiple*8-18).attr("y", heightText).text("LR").style("font-size", "14px").attr("alignment-baseline","top")
svgLegGl.append("text").attr("x", initialValue+multiple*9-25).attr("y", heightText).text("MLP").style("font-size", "14px").attr("alignment-baseline","top")
svgLegGl.append("text").attr("x", initialValue+multiple*10-24).attr("y", heightText).text("RF").style("font-size", "14px").attr("alignment-baseline","top")
svgLegGl.append("text").attr("x", initialValue+multiple*11-36).attr("y", heightText).text("GradB").style("font-size", "14px").attr("alignment-baseline","top")
svgLegGl.append("text").attr("x", 275).attr("y", heightText+30).text(info[0]).style("font-size", "16px").style("font-weight", "bold").attr("alignment-baseline","top")
svgLegGl.append("text").attr("x", 882).attr("y", heightText+30).text(info[1]).style("font-size", "16px").style("font-weight", "bold").attr("alignment-baseline","top")
var svgLeg = d3.select("#LegendHeat").append("svg")
.attr("width", viewerWidth/2)
.attr("height", viewerHeight*0.10)
.style("margin-top", "28px")
.style("margin-top", "35px")
var legend = svgLeg.append('g')
.attr("class", "legend")
@ -543,7 +589,7 @@ export default {
legend.append("svg:rect")
.attr("x", function(d, i) {
return (legendElementWidth * i) + 35;
return (legendElementWidth * i) + 50;
})
.attr("y", viewerPosTop)
.attr("class", "cellLegend bordered")
@ -567,11 +613,11 @@ export default {
})
.attr("x", function(d, i) {
if (i > 4) {
return (legendElementWidth * i) + 45;
return (legendElementWidth * i) + 60;
} else if (i == 4) {
return (legendElementWidth * i) + 55;
return (legendElementWidth * i) + 72;
} else {
return (legendElementWidth * i) + 40;
return (legendElementWidth * i) + 52;
}
})
@ -581,6 +627,7 @@ export default {
},
},
mounted () {
EventBus.$on('emittedEventCallingInfo', data => { this.InfoPred = data })
EventBus.$on('LegendPredict', this.legendCol)
EventBus.$on('emittedEventCallingGrid', data => { this.GetResultsAll = data; })
@ -607,4 +654,19 @@ export default {
canvas {
border: 1px dotted #ccc;
}
#containerForAll {
height: 100px;
position: relative;
}
#LegendMain {
width: 100%;
height: 100%;
position: absolute;
top: 0;
left: 0;
}
#LegendMain {
z-index: 10;
}
</style>

115
frontend/src/components/ValidationController.vue
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@ -1,5 +1,8 @@
<template>
<div id="violin" class="chart-wrapper" style="min-height: 270px; max-height: 200px !important"></div>
<div>
<div id="violin" class="chart-wrapper" style="max-height: 200px !important"></div>
<div id="legendViolin" class="text-center"></div>
</div>
</template>
<script>
@ -17,13 +20,15 @@ export default {
Metrics: ['Accuracy', 'Precision', 'Recall', 'F1-score', 'G-mean', 'ROC AUC', 'Log loss', 'MCC'],
selectedSimple: [],
selectedEnsem: [],
storedEnsemble: []
storedEnsemble: [],
}
},
methods: {
reset () {
var svg = d3.select("#violin");
svg.selectAll("*").remove();
var svgLeg = d3.select("#legendViolin");
svgLeg.selectAll("*").remove();
this.selectedSimple = []
this.selectedEnsem = []
this.storedEnsemble = []
@ -34,8 +39,6 @@ export default {
var svg = d3.select("#violin");
svg.selectAll("*").remove();
var chart2
var IDs = JSON.parse(this.ResultsValid[0])
var valid = JSON.parse(this.ResultsValid[3])
var data = []
var colorsGlobal = []
@ -52,8 +55,11 @@ export default {
var meanGlobalSel = new Array(countFactors).fill(0)
var sumGlobalSel = new Array(countFactors).fill(0)
var countValuesSel = new Array(countFactors).fill(0)
console.log(this.activeCurr)
if (this.activeCurr == 1) {
var globalActive = this.activeCurr
if (globalActive == 1) {
var IDs = JSON.parse(this.ResultsValid[0])
var valid = JSON.parse(this.ResultsValid[3])
for (let j=0; j<this.factorsValid.length; j++) {
if (this.factorsValid[j] == 1) {
for (let i=0; i<IDs.length; i++){
@ -93,14 +99,18 @@ export default {
activeLines.push('meanSelection')
}
} else {
var valid = JSON.parse(this.ResultsValid[3])
var mergedStoreEnsembleLoc = [].concat.apply([], this.storedEnsemble)
console.log(mergedStoreEnsembleLoc)
var mergedStoreEnsembleLocFormatted = []
for (let i = 0; i < mergedStoreEnsembleLoc.length; i++) {
mergedStoreEnsembleLocFormatted.push(parseInt(mergedStoreEnsembleLoc[i].replace(/\D/g,'')))
}
for (let j=0; j<this.factorsValid.length; j++) {
if (this.factorsValid[j] == 1) {
for (let i=0; i<mergedStoreEnsembleLoc.length; i++){
let tempValid = JSON.parse(valid[j])
tempValid = mergedStoreEnsembleLocFormatted.map((item) => tempValid[item])
let tempSplit = mergedStoreEnsembleLoc[i].split(/([0-9]+)/)
console.log(tempSplit)
if (tempSplit[0] == 'KNN' || tempSplit[0] == 'KNNC' || tempSplit[0] == 'KNNM' || tempSplit[0] == 'KNNCC' || tempSplit[0] == 'KNNCM' || tempSplit[0] == 'KNNMC' || tempSplit[0] == 'KNNMM') {
data.push({Algorithm: this.Metrics[j], value: tempValid[i], category: "#ff7f00"})
}
@ -116,7 +126,6 @@ export default {
else {
data.push({Algorithm: this.Metrics[j], value: tempValid[i], category: "#a6cee3"})
}
console.log(this.selectedEnsem.length)
if (this.selectedEnsem.length != 0) {
if (this.selectedEnsem.includes(mergedStoreEnsembleLoc[i])) {
sumGlobalSel[j] = sumGlobalSel[j] + tempValid[i]
@ -134,7 +143,6 @@ export default {
activeLines.push('meanSelection')
}
}
console.log(data)
colorsGlobalBins.push('#c0c0c0')
colorsGlobalBins.push('#000')
for (let j=0; j<sumGlobalSel.length; j++) {
@ -181,8 +189,8 @@ export default {
axisLables: null,
yTicks: 1,
scale: 'linear',
chartSize: {width: 820, height: 280},
margin: {top: 15, right: 40, bottom: 30, left: 40},
chartSize: {width: 820, height: 200},
margin: {top: 15, right: 40, bottom: 60, left: 40},
constrainExtremes: false,
color: colorsGlobal
};
@ -492,7 +500,7 @@ export default {
chart.objs.g = chart.objs.chartDiv.append("svg")
.attr("class", "chart-area")
.attr("width", chart.width + (chart.margin.left + chart.margin.right))
.attr("height", 270 + (chart.margin.top + chart.margin.bottom))
.attr("height", 200 + (chart.margin.top + chart.margin.bottom))
.append("g")
.attr("transform", "translate(" + chart.margin.left + "," + chart.margin.top + ")");
@ -1532,6 +1540,7 @@ export default {
}
}
var loopValue = 0
for (cName in chart.groupObjs) {
cGroup = chart.groupObjs[cName];
@ -1594,10 +1603,15 @@ export default {
cPlot.objs.bean.lines[pt]
.attr("x1", beanBounds.left)
.attr("x2", beanBounds.right)
.attr('y1', chart.yScale(cGroup.values[pt]))
.attr("y2", chart.yScale(cGroup.values[pt]));
.attr('y1', function () { return chart.yScale(chart.data[pt+loopValue].value) })
.attr("y2", function () { return chart.yScale(chart.data[pt+loopValue].value) });
}
}
if (globalActive == 1) {
loopValue = loopValue + IDs.length
} else {
loopValue = loopValue + mergedStoreEnsembleLoc.length
}
}
};
@ -1693,8 +1707,12 @@ export default {
.style("stroke", function () { return chart.data[pt+loopValue].category; }));
}
}
loopValue = loopValue + 500
if (globalActive == 1) {
loopValue = loopValue + IDs.length
} else {
loopValue = loopValue + mergedStoreEnsembleLoc.length
}
}
};
@ -1707,9 +1725,70 @@ export default {
return chart;
}
}
},
legendColViol () {
//==================================================
var viewerWidth = this.WH[0]*2.5
var viewerHeight = this.WH[1]*0.06
var viewerPosTop = viewerHeight * 0.2;
var cellSizeHeat = 10
var legendElementWidth = cellSizeHeat * 3;
// http://bl.ocks.org/mbostock/5577023
var colors = ['#c0c0c0','#fff','#fff','#fff','#000'];
var svgLeg = d3.select("#legendViolin");
svgLeg.selectAll("*").remove();
var svgLeg = d3.select("#legendViolin").append("svg")
.attr("width", viewerWidth/2)
.attr("height", viewerHeight*1)
.style("margin-top", "42px")
var legend = svgLeg.append('g')
.attr("class", "legend")
.attr("transform", "translate(0,0)")
.selectAll(".legendElement")
.data([0, 1, 3, 4, 5])
.enter().append("g")
.attr("class", "legendElement");
legend.append("svg:rect")
.attr("x", function(d, i) {
return (legendElementWidth * i) + 35;
})
.attr("y", viewerPosTop)
.attr("class", "cellLegend bordered")
.attr("width", legendElementWidth)
.attr("height", cellSizeHeat / 2)
.style("fill", function(d, i) {
return colors[i];
});
legend.append("text")
.attr("class", "mono legendElement")
.text(function(d, i) {
if (i == 0) {
return "Mean All";
} else if (i== 4) {
return "Mean Sel.";
} else {
return "";
}
})
.attr("x", function(d, i) {
return (legendElementWidth * i) + 12;
return (legendElementWidth * i) + 12;
})
.attr("y", (viewerPosTop + cellSizeHeat) + 10);
},
},
mounted () {
EventBus.$on('LegendPredict', this.legendColViol)
EventBus.$on('SendStoredEnsemble', data => { this.storedEnsemble = data})
EventBus.$on('activeNow', data => { this.activeCurr = data })

93
frontend/src/components/VotingResults.vue
Unescape View File

@ -1,5 +1,8 @@
<template>
<div id="doubleBarChart" style="min-height: 270px;"></div>
<div>
<div id="doubleBarChart"></div>
<div id="legendFinal" class="text-center"></div>
</div>
</template>
<script>
@ -18,6 +21,9 @@ export default {
reset () {
var svg = d3.select("#doubleBarChart");
svg.selectAll("*").remove();
var svgLeg = d3.select("#legendFinal");
svgLeg.selectAll("*").remove();
this.FinalResultsforPlot = []
},
VotingResultsFun () {
@ -59,7 +65,7 @@ export default {
var chart,
width = 214,
bar_height = 15,
height = bar_height * 18;
height = bar_height * 16;
var rightOffset = width + labelArea;
var lCol = "infant.mortality";
@ -71,7 +77,7 @@ export default {
.domain([0,100])
.range([0, width-40]);
var y = d3.scale.ordinal()
.rangeBands([30, height-58]);
.rangeBands([20, height-58]);
var chart = d3.select("#doubleBarChart")
.append('svg')
@ -128,11 +134,12 @@ export default {
.attr("text-anchor", "middle")
.attr('class', 'name')
.style("fill", function(d) {
if (d.countries.includes('Active')) {
return "#1f78b4"
} else {
return "#e31a1c"
}
return "#000000"
// if (d.countries.includes('Active')) {
// return "#1f78b4"
// } else {
// return "#e31a1c"
// }
})
.text(function(d){return d.countries;});
@ -165,12 +172,74 @@ export default {
.attr('class', 'score')
.text(function(d){return d[rCol];});
chart.append("text").attr("x",width/3).attr("y", 15).attr("class","title").text(info[0]);
chart.append("text").attr("x",width/3+rightOffset).attr("y", 15).attr("class","title").text(info[1]);
chart.append("text").attr("x",width+labelArea/3).attr("y", 15).attr("class","title").text("Metrics");
}
chart.append("text").attr("x",width/3).attr("y", 20).attr("class","title").text(info[0]);
chart.append("text").attr("x",width/3+rightOffset).attr("y", 20).attr("class","title").text(info[1]);
chart.append("text").attr("x",width+labelArea/3).attr("y", 20).attr("class","title").text("Metrics");
},
legendColFinal () {
//==================================================
var viewerWidth = this.WH[0]*2.5
var viewerHeight = this.WH[1]*0.058
var viewerPosTop = viewerHeight * 0.2;
var cellSizeHeat = 10
var legendElementWidth = cellSizeHeat * 3;
// http://bl.ocks.org/mbostock/5577023
var colors = ['#1f78b4','#fff','#fff','#fff','#e31a1c'];
var svgLeg = d3.select("#legendFinal");
svgLeg.selectAll("*").remove();
var svgLeg = d3.select("#legendFinal").append("svg")
.attr("width", viewerWidth/2)
.attr("height", viewerHeight*1)
.style("margin-top", "6px")
var legend = svgLeg.append('g')
.attr("class", "legend")
.attr("transform", "translate(0,0)")
.selectAll(".legendElement")
.data([0, 1, 3, 4, 5])
.enter().append("g")
.attr("class", "legendElement");
legend.append("svg:rect")
.attr("x", function(d, i) {
return (legendElementWidth * i) + 35;
})
.attr("y", viewerPosTop)
.attr("class", "cellLegend bordered")
.attr("width", legendElementWidth)
.attr("height", cellSizeHeat / 2)
.style("fill", function(d, i) {
return colors[i];
});
legend.append("text")
.attr("class", "mono legendElement")
.text(function(d, i) {
if (i == 0) {
return "Active";
} else if (i== 4) {
return "Best";
} else {
return "";
}
})
.attr("x", function(d, i) {
if (i == 0) {
return (legendElementWidth * i) + 32;
} else {
return (legendElementWidth * i) + 36;
}
})
.attr("y", (viewerPosTop + cellSizeHeat) + 10);
},
},
mounted() {
EventBus.$on('LegendPredictEnsem', this.legendColFinal)
EventBus.$on('emittedEventCallingInfo', data => { this.Info = data })
EventBus.$on('emittedEventCallingResultsPlot', data => { this.FinalResultsforPlot = data })

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