def getModel(self):
self.warning(0)
self.error(0)
self.statInfo = ""
self.statistics = None
self.statInfoBox.setText("")
"""Get the model and send it to the output"""
if not os.path.isdir(str(self.statPath)):
statPath = None
modelPath = None
else:
statPath = os.path.join(str(self.statPath), "statistics.pkl")
modelPath = os.path.join(str(self.statPath), "Model")
res = competitiveWorkflow.competitiveWorkflow(
self.dataset,
modelSavePath=modelPath,
statisticsSavePath=statPath,
runningDir=AZOC.NFS_SCRATCHDIR,
queueType=self.queueTypes[self.queueType],
callBack=self.advance,
)
if not res:
self.error("Errors occurred. Please check the output window.")
self.send("Classifier", None)
self.send("Examples", None)
return
self.classifier = res["model"][res["model"].keys()[0]]
statistics = res["statistics"]
# DEBUG
# fileh = open("/home/palmeida/dev/AZOrange/orange/OrangeWidgets/Classify/model.pkl")
# statistics = pickle.load(fileh)
# fileh.close()
# self.classifier = AZBaseClasses.modelRead("/home/palmeida/dev/AZOrange/orange/OrangeWidgets/Classify/Model")
if not statistics:
self.statInfo = "Some error occured. Could not get statistics.\nPlease check the output window"
else:
self.statistics = self.createStatData(statistics)
if statPath and os.path.isfile(statPath):
self.statInfo = (
"Statistics were saved to "
+ statPath
+ "\n"
+ "You can save the statistics in other place by using \n"
)
else:
self.statInfo += "You can save the statistics by using \n"
self.statInfo += (
" the button 'Save statistics'\n\n"
+ "You can also use or view the statistics by connecting \n"
+ " the appropriate widget to this widget output"
)
self.statInfoBox.setText(self.statInfo)
self.classifier.name = str(self.name)
self.send("Classifier", self.classifier)
self.send("Examples", self.statistics)
def testReg_Serial(self):
"""Test regression in serial mode
"""
res = competitiveWorkflow.competitiveWorkflow(self.Ctrain_data)
print "Results : ",res
self.assert_("statistics" in res)
self.assert_("model" in res)
self.assert_("selectedML" in res["statistics"])
self.assert_(res["model"][res["model"].keys()[0]] is not None)
self.assertEqual(res["statistics"]["selectedML"]["responseType"], "Regression")
self.assert_(res["statistics"]["selectedML"]["Q2"] > 0 )
def no_testClass_SGE(self):
"""Test classification in serial mode
"""
res = competitiveWorkflow.competitiveWorkflow(self.Dtrain_data, queueType = "batch.q")
print "Results : ",res
self.assert_("statistics" in res)
self.assert_("model" in res)
self.assert_("selectedML" in res["statistics"])
self.assert_(res["model"][res["model"].keys()[0]] is not None)
self.assertEqual(res["statistics"]["selectedML"]["responseType"], "Classification")
self.assert_(res["statistics"]["selectedML"]["CA"] > 0 )
def disabled_testReg_SGE(self):
"""Test regression in serial mode
"""
res = competitiveWorkflow.competitiveWorkflow(self.Ctrain_data,
queueType="batch.q")
print "Results : ", res
self.assert_("statistics" in res)
self.assert_("model" in res)
self.assert_("selectedML" in res["statistics"])
self.assert_(res["model"][res["model"].keys()[0]] is not None)
self.assertEqual(res["statistics"]["selectedML"]["responseType"],
"Regression")
self.assert_(res["statistics"]["selectedML"]["Q2"] > 0)
def getModel(self):
self.warning(0)
self.error(0)
self.statInfo = ""
self.statistics = None
self.statInfoBox.setText("")
"""Get the model and send it to the output"""
if not os.path.isdir(str(self.statPath)):
statPath = None
modelPath = None
else:
statPath = os.path.join(str(self.statPath), "statistics.pkl")
modelPath = os.path.join(str(self.statPath), "Model")
res = competitiveWorkflow.competitiveWorkflow(
self.dataset,
modelSavePath=modelPath,
statisticsSavePath=statPath,
runningDir=AZOC.NFS_SCRATCHDIR,
queueType=self.queueTypes[self.queueType],
callBack=self.advance)
if not res:
self.error("Errors occurred. Please check the output window.")
self.send("Classifier", None)
self.send("Examples", None)
return
self.classifier = res["model"][res["model"].keys()[0]]
statistics = res["statistics"]
# DEBUG
#fileh = open("/home/palmeida/dev/AZOrange/orange/OrangeWidgets/Classify/model.pkl")
#statistics = pickle.load(fileh)
#fileh.close()
#self.classifier = AZBaseClasses.modelRead("/home/palmeida/dev/AZOrange/orange/OrangeWidgets/Classify/Model")
if not statistics:
self.statInfo = "Some error occured. Could not get statistics.\nPlease check the output window"
else:
self.statistics = self.createStatData(statistics)
if statPath and os.path.isfile(statPath):
self.statInfo = "Statistics were saved to " + statPath+"\n"+\
"You can save the statistics in other place by using \n"
else:
self.statInfo += "You can save the statistics by using \n"
self.statInfo += " the button 'Save statistics'\n\n"+\
"You can also use or view the statistics by connecting \n"+\
" the appropriate widget to this widget output"
self.statInfoBox.setText(self.statInfo)
self.classifier.name = str(self.name)
self.send("Classifier", self.classifier)
self.send("Examples", self.statistics)
