def runModel(depAirportCode, departureDT, arrAirportCode, arrivalDT):
import training as f
depTuple = getWeather(depAirportCode, departureDT)
arrTuple = getWeather(arrAirportCode, arrivalDT)
depWeather = depTuple[0]
arrWeather = arrTuple[0]
#create the features vector
features = []
for attr in f.attributes:
features.append(depWeather[mapAttribute(attr)])
for attr in f.attributes:
features.append(arrWeather[mapAttribute(attr)])
#Call training handler for custom features
s = type(
'dummy', (object, ), {
'departureTime': departureDT,
'arrivalTime': arrivalDT,
'arrivalAirportFsCode': arrAirportCode,
'departureAirportFsCode': depAirportCode,
'departureWeather': depWeather,
'arrivalWeather': arrWeather
})
customFeaturesForRunModel = f.getTrainingHandler().customTrainingFeatures(
s)
for value in customFeaturesForRunModel:
features.append(value)
html = '<table width=100%><tr><th>' + depTuple[
1] + '</th><th>Prediction</th><th>' + arrTuple[1] + '</th></tr>'
html += '<tr><td>' + formatWeather(depWeather) + '</td>'
html += '<td><ul>'
for model in mlModels:
label = model.__class__.__name__
html += '<li>' + label + ': ' + f.getTrainingHandler().getClassLabel(
model.predict(features)) + '</li>'
html += '</ul></td>'
html += '<td>' + formatWeather(arrWeather) + '</td>'
html += '</tr></table>'
html += '<div id="map" style="height:300px"></div>'
#display map
html += '<script async defer src="https://maps.googleapis.com/maps/api/js?key=AIzaSyBBfYX6GG1foO1l7TAPk2LQVV_nACb7T4Q&callback=renderMap" type="text/javascript"></script>'
html += '<script type="text/javascript">'
html += 'function renderMap() {'
html += 'var map = new google.maps.Map(document.getElementById("map"), {zoom: 4,center: new google.maps.LatLng(40, -100),mapTypeId: google.maps.MapTypeId.TERRAIN});'
html += 'var depAirport = new google.maps.LatLng(' + depTuple[
2] + ',' + depTuple[3] + ');'
html += 'var arrAirport = new google.maps.LatLng(' + arrTuple[
2] + ',' + arrTuple[3] + ');'
html += 'var markerP1 = new google.maps.Marker({position: depAirport, map: map});'
html += 'var markerP2 = new google.maps.Marker({position: arrAirport, map: map});'
html += 'var flightPlanCoordinates = [depAirport,arrAirport];'
html += 'var flightPath = new google.maps.Polyline({path: flightPlanCoordinates,strokeColor: "#0000FF",strokeOpacity: 1.0,strokeWeight: 2});'
html += 'flightPath.setMap(map);}'
html += '</script>'
display(HTML(html))
def doRender(self, handlerId):
f1 = "departureWeather.temp"
f2 = "arrivalWeather.temp"
f1 = f1.split(".")
f2 = f2.split(".")
handler = training.getTrainingHandler()
darr=self.entity.map(lambda s: ( handler.computeClassification(s),(\
reduce(lambda x,y: getattr(x,y) if isinstance(x, Row) else getattr(getattr(s,x),y), f1) if len(f1)>1 else getattr(s,f1[0]),\
reduce(lambda x,y: getattr(x,y) if isinstance(x, Row) else getattr(getattr(s,x),y), f2) if len(f2)>1 else getattr(s,f2[0])\
)))\
.reduceByKey(lambda x,y: makeList(x) + makeList(y))\
.collect()
numClasses = handler.numClasses()
citer = iter(cm.rainbow(np.linspace(0, 1, numClasses)))
colors = [next(citer) for i in range(0, numClasses)]
legends = [handler.getClassLabel(i) for i in range(0, numClasses)]
sets = []
fig, ax = plt.subplots(figsize=(12, 8))
for t in darr:
sets.append((ax.scatter([x[0] for x in t[1]], [x[1] for x in t[1]],
color=colors[t[0]],
alpha=0.5), legends[t[0]]))
ax.set_ylabel("Departure Airport Temp")
ax.set_xlabel("Arrival Airport Temp")
ax.legend([x[0] for x in sets], [x[1] for x in sets],
scatterpoints=1,
loc='lower left',
ncol=numClasses,
fontsize=12)
#Render the figure
(dialogTemplate, dialogOptions) = self.getDialogInfo(handlerId)
dialogBody = self.renderTemplate(dialogTemplate, **dialogOptions)
self.renderFigure(fig, dialogBody)
def doRender(self, handlerId):
f1="departureWeather.temp"
f2="arrivalWeather.temp"
f1=f1.split(".")
f2=f2.split(".")
handler=training.getTrainingHandler()
darr=self.entity.map(lambda s: ( handler.computeClassification(s),(\
reduce(lambda x,y: getattr(x,y) if isinstance(x, Row) else getattr(getattr(s,x),y), f1) if len(f1)>1 else getattr(s,f1[0]),\
reduce(lambda x,y: getattr(x,y) if isinstance(x, Row) else getattr(getattr(s,x),y), f2) if len(f2)>1 else getattr(s,f2[0])\
)))\
.reduceByKey(lambda x,y: makeList(x) + makeList(y))\
.collect()
numClasses=handler.numClasses()
citer=iter(cm.rainbow(np.linspace(0, 1, numClasses)))
colors = [next(citer) for i in range(0, numClasses)]
legends= [handler.getClassLabel(i) for i in range(0,numClasses)]
sets=[]
fig, ax = plt.subplots(figsize=(12,8))
for t in darr:
sets.append((ax.scatter([x[0] for x in t[1]],[x[1] for x in t[1]],color=colors[t[0]],alpha=0.5),legends[t[0]]))
ax.set_ylabel("Departure Airport Temp")
ax.set_xlabel("Arrival Airport Temp")
ax.legend([x[0] for x in sets],
[x[1] for x in sets],
scatterpoints=1,
loc='lower left',
ncol=numClasses,
fontsize=12)
#Render the figure
(dialogTemplate, dialogOptions) = self.getDialogInfo(handlerId)
dialogBody=self.renderTemplate(dialogTemplate, **dialogOptions)
self.renderFigure(fig, dialogBody)
def runModel(depAirportCode, departureDT, arrAirportCode, arrivalDT):
import training as f
depTuple = getWeather(depAirportCode, departureDT)
arrTuple = getWeather(arrAirportCode, arrivalDT)
depWeather=depTuple[0]
arrWeather=arrTuple[0]
#create the features vector
features=[]
for attr in f.attributes:
features.append(depWeather[mapAttribute(attr)])
for attr in f.attributes:
features.append(arrWeather[mapAttribute(attr)])
#Call training handler for custom features
s=type('dummy', (object,), {'departureTime':departureDT, 'arrivalTime':arrivalDT, 'arrivalAirportFsCode': arrAirportCode,
'departureAirportFsCode':depAirportCode,'departureWeather': depWeather, 'arrivalWeather': arrWeather})
customFeaturesForRunModel=f.getTrainingHandler().customTrainingFeatures(s)
for value in customFeaturesForRunModel:
features.append( value )
html='<table width=100%><tr><th>'+depTuple[1]+'</th><th>Prediction</th><th>'+arrTuple[1]+'</th></tr>'
html+='<tr><td>'+formatWeather(depWeather)+'</td>'
html+='<td><ul>'
for model in mlModels:
label= model.__class__.__name__
html+='<li>' + label + ': ' + f.getTrainingHandler().getClassLabel(model.predict(features)) + '</li>'
html+='</ul></td>'
html+='<td>'+formatWeather(arrWeather)+'</td>'
html+='</tr></table>'
html+='<div id="map" style="height:300px"></div>'
#display map
html+='<script async defer src="https://maps.googleapis.com/maps/api/js?key=AIzaSyBBfYX6GG1foO1l7TAPk2LQVV_nACb7T4Q&callback=renderMap" type="text/javascript"></script>'
html+='<script type="text/javascript">'
html+='function renderMap() {'
html+='var map = new google.maps.Map(document.getElementById("map"), {zoom: 4,center: new google.maps.LatLng(40, -100),mapTypeId: google.maps.MapTypeId.TERRAIN});'
html+='var depAirport = new google.maps.LatLng(' + depTuple[2] + ',' + depTuple[3] + ');'
html+='var arrAirport = new google.maps.LatLng(' + arrTuple[2] + ',' + arrTuple[3] + ');'
html+='var markerP1 = new google.maps.Marker({position: depAirport, map: map});'
html+='var markerP2 = new google.maps.Marker({position: arrAirport, map: map});'
html+='var flightPlanCoordinates = [depAirport,arrAirport];'
html+='var flightPath = new google.maps.Polyline({path: flightPlanCoordinates,strokeColor: "#0000FF",strokeOpacity: 1.0,strokeWeight: 2});'
html+='flightPath.setMap(map);}'
html+='</script>'
display(HTML(html))
