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Angelos Chatzimparmpas 4 years ago
parent 3304792b6b
commit 626169a3b0
3 changed files with 24 additions and 8 deletions
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  1. BIN
      __pycache__/run.cpython-38.pyc
  2. 7
      frontend/src/components/Main.vue
  3. 25
      run.py

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__pycache__/run.cpython-38.pyc
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7
frontend/src/components/Main.vue
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@ -338,9 +338,9 @@ export default Vue.extend({
//EventBus.$emit('emittedEventCallingGridSelection', this.OverviewResults)
EventBus.$emit('callValidationData', this.OverviewResults)
EventBus.$emit('callValidation')
EventBus.$emit('LegendPredictEnsem')
EventBus.$emit('callAlgorithhms')
EventBus.$emit('LegendPredict')
EventBus.$emit('LegendPredictEnsem')
}
})
.catch(error => {
@ -447,9 +447,9 @@ export default Vue.extend({
.then(response => {
this.PredictSel = response.data.PredictSel
console.log('Server successfully sent the predictions!')
EventBus.$emit('emittedEventCallingGrid', this.storeBothEnsCM[0])
EventBus.$emit('SendSelectedPointsToServerEvent', this.PredictSel)
EventBus.$emit('LegendPredict')
})
.catch(error => {
console.log(error)
@ -494,6 +494,7 @@ export default Vue.extend({
console.log('Server successfully sent the predictions!')
EventBus.$emit('emittedEventCallingGrid', this.storeBothEnsCM[1])
EventBus.$emit('SendSelectedPointsToServerEvent', this.PredictSelEnsem)
EventBus.$emit('LegendPredict')
})
.catch(error => {
console.log(error)

25
run.py
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@ -1214,6 +1214,9 @@ def PreprocessingPredEnsemble():
yDataSortedFirst = []
yDataSortedLast = []
ResultsGatheredFirst = [0,0,0,0,0,0,0]
ResultsGatheredLast = [0,0,0,0,0,0,0]
for index, item in enumerate(yData):
if (item == 1):
if (len(predictionsKNN[index]) != 0):
@ -1268,7 +1271,7 @@ def PreprocessingPredEnsemble():
predictionsGradB = ResultsGatheredFirst[5] + ResultsGatheredLast[5]
yDataSorted = yDataSortedFirst + yDataSortedLast
return [predictionsKNN, predictionsLR, predictionsMLP, predictionsRF, predictionsGradB, predictions]
return [predictionsKNN, predictionsLR, predictionsMLP, predictionsRF, predictionsGradB, predictions, ResultsGatheredLast[6], ResultsGatheredFirst[6]]
def PreprocessingParam():
dicKNN = allParametersPerformancePerModel[1]
@ -4082,6 +4085,9 @@ def PreprocessingPredCM():
yDataSortedFirst = []
yDataSortedLast = []
ResultsGatheredFirst = [0,0,0,0,0,0,0]
ResultsGatheredLast = [0,0,0,0,0,0,0]
for index, item in enumerate(yData):
if (item == 1):
if (len(predictionsKNN[index]) != 0):
@ -4135,7 +4141,7 @@ def PreprocessingPredCM():
predictionsGradB = ResultsGatheredFirst[5] + ResultsGatheredLast[5]
yDataSorted = yDataSortedFirst + yDataSortedLast
return [predictionsKNN, predictionsLR, predictionsMLP, predictionsRF, predictionsGradB, predictions]
return [predictionsKNN, predictionsLR, predictionsMLP, predictionsRF, predictionsGradB, predictions, ResultsGatheredLast[6], ResultsGatheredFirst[6]]
def PreprocessingPredCMSecond():
dicKNNCC = allParametersPerfCrossMutr[3]
@ -4241,6 +4247,9 @@ def PreprocessingPredCMSecond():
yDataSortedFirst = []
yDataSortedLast = []
ResultsGatheredFirst = [0,0,0,0,0,0,0]
ResultsGatheredLast = [0,0,0,0,0,0,0]
for index, item in enumerate(yData):
if (item == 1):
if (len(predictionsKNN[index]) != 0):
@ -4294,7 +4303,7 @@ def PreprocessingPredCMSecond():
predictionsGradB = ResultsGatheredFirst[5] + ResultsGatheredLast[5]
yDataSorted = yDataSortedFirst + yDataSortedLast
return [predictionsKNN, predictionsLR, predictionsMLP, predictionsRF, predictionsGradB, predictions]
return [predictionsKNN, predictionsLR, predictionsMLP, predictionsRF, predictionsGradB, predictions, ResultsGatheredLast[6], ResultsGatheredFirst[6]]
def PreprocessingParamCM():
dicKNNC = allParametersPerfCrossMutr[1]
@ -4903,6 +4912,9 @@ def PreprocessingPredSel(SelectedIDs):
yDataSortedFirst = []
yDataSortedLast = []
ResultsGatheredFirst = [0,0,0,0,0,0,0]
ResultsGatheredLast = [0,0,0,0,0,0,0]
for index, item in enumerate(yData):
if (item == 1):
if (len(predictionsKNN[index]) != 0):
@ -4956,7 +4968,7 @@ def PreprocessingPredSel(SelectedIDs):
predictionsGradB = ResultsGatheredFirst[5] + ResultsGatheredLast[5]
yDataSorted = yDataSortedFirst + yDataSortedLast
return [predictionsKNN, predictionsLR, predictionsMLP, predictionsRF, predictionsGradB, predictions]
return [predictionsKNN, predictionsLR, predictionsMLP, predictionsRF, predictionsGradB, predictions, ResultsGatheredLast[6], ResultsGatheredFirst[6]]
@cross_origin(origin='localhost',headers=['Content-Type','Authorization'])
@app.route('/data/SendtoSeverSelIDs', methods=["GET", "POST"])
@ -5076,6 +5088,9 @@ def PreprocessingPredSelEnsem(SelectedIDsEnsem):
yDataSortedFirst = []
yDataSortedLast = []
ResultsGatheredFirst = [0,0,0,0,0,0,0]
ResultsGatheredLast = [0,0,0,0,0,0,0]
for index, item in enumerate(yData):
if (item == 1):
if (len(predictionsKNN[index]) != 0):
@ -5130,7 +5145,7 @@ def PreprocessingPredSelEnsem(SelectedIDsEnsem):
predictionsGradB = ResultsGatheredFirst[5] + ResultsGatheredLast[5]
yDataSorted = yDataSortedFirst + yDataSortedLast
return [predictionsKNN, predictionsLR, predictionsMLP, predictionsRF, predictionsGradB, predictions]
return [predictionsKNN, predictionsLR, predictionsMLP, predictionsRF, predictionsGradB, predictions, ResultsGatheredLast[6], ResultsGatheredFirst[6]]
@cross_origin(origin='localhost',headers=['Content-Type','Authorization'])
@app.route('/data/SendtoSeverSelIDsEnsem', methods=["GET", "POST"])

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