def __init__(
self,
trainingData=None,
validationData=None,
classifierType="perceptron",
agentToClone=None,
numTraining=3,
):
from dataClassifier import (enhancedFeatureExtractorPacman,
runClassifier)
legalLabels = ["Stop", "West", "East", "North", "South"]
if classifierType == "perceptron":
classifier = perceptron_pacman.PerceptronClassifierPacman(
legalLabels, numTraining
)
self.classifier = classifier
self.featureFunction = enhancedFeatureExtractorPacman
args = {
"featureFunction": self.featureFunction,
"classifier": self.classifier,
"printImage": None,
"trainingData": trainingData,
"validationData": validationData,
"agentToClone": agentToClone,
}
options = DummyOptions()
options.classifier = classifierType
runClassifier(args, options)
def __init__(self, trainingData=None, validationData=None, classifierType="perceptron", agentToClone=None, numTraining=3):
self.classifier = classifier
self.featureFunction = enhancedFeatureExtractorPacman
args = {'featureFunction': self.featureFunction,
'classifier':self.classifier,
'printImage':None,
'trainingData':trainingData,
'validationData':validationData,
'agentToClone': agentToClone,
}
from dataClassifier import runClassifier, enhancedFeatureExtractorPacman
legalLabels = ['Stop', 'West', 'East', 'North', 'South']
if(classifierType == "perceptron"):
classifier = perceptron_pacman.PerceptronClassifierPacman(legalLabels,numTraining)
options = DummyOptions()
options.classifier = classifierType
runClassifier(args, options)
def __init__(self, trainingData, validationData, classifierType, agentToClone, numTraining=3):
from dataClassifier import runClassifier, enhancedFeatureExtractorPacman
legalLabels = ['Stop', 'West', 'East', 'North', 'South']
if(classifierType == "perceptron"):
classifier = perceptron_pacman.PerceptronClassifierPacman(legalLabels,numTraining)
self.classifier = classifier
self.featureFunction = enhancedFeatureExtractorPacman
args = {'featureFunction': self.featureFunction,
'classifier':self.classifier,
'printImage':None,
'trainingData':trainingData,
'validationData':validationData,
'agentToClone': agentToClone,
}
options = DummyOptions()
options.classifier = classifierType
runClassifier(args, options)
def __init__(self,
trainingData=None,
validationData=None,
classifierType="perceptron",
agentToClone=None,
numTraining=3):
from dataClassifier import runClassifier, enhancedFeatureExtractorPacman
legalLabels = ['Stop', 'West', 'East', 'North', 'South']
didLoadFromFile = False
self.classifierType = classifierType
if (classifierType == "perceptron"):
try:
classifier = pickle.load(open("perceptron.pkl", "rb"))
print("loaded perceptron from file")
didLoadFromFile = True
except:
# here's the actual perceptron part
print("perceptron.pkl not found")
classifier = perceptron_pacman.PerceptronClassifierPacman(
legalLabels, numTraining)
self.classifier = classifier
#looks like enhanced Feature extractor is in dataClassifier
self.featureFunction = enhancedFeatureExtractorPacman
args = {
'featureFunction': self.featureFunction,
'classifier': self.classifier,
'printImage': None,
'trainingData': trainingData,
'validationData': validationData,
'agentToClone': agentToClone,
}
options = DummyOptions()
options.classifier = classifierType
runClassifier(args, options, didLoadFromFile=didLoadFromFile)
if not didLoadFromFile:
pickle.dump(classifier, open("perceptron.pkl", "wb"))
print("saving perceptron to file")
