def setOptions(self, options):
"""
Parses a given list of options.
Parameter(s):
'options' -- the list of options as an array of strings
"""
AbstractClassifier.setOptions(self, options)
return
def setOptions(self, options):
"""
Parses a given list of options.
Parameter(s):
'options' -- the list of options as an array of strings
"""
AbstractClassifier.setOptions(self, options)
return
def getCapabilities(self):
"""
returns the capabilities of this classifier
Return:
the capabilities of this classifier
"""
result = AbstractClassifier.getCapabilities(self)
# attributes
result.enable(Capability.NOMINAL_ATTRIBUTES)
result.enable(Capability.NUMERIC_ATTRIBUTES)
result.enable(Capability.DATE_ATTRIBUTES)
result.enable(Capability.STRING_ATTRIBUTES)
result.enable(Capability.RELATIONAL_ATTRIBUTES)
result.enable(Capability.MISSING_VALUES)
# class
result.enable(Capability.NOMINAL_CLASS)
result.enable(Capability.NUMERIC_CLASS)
result.enable(Capability.DATE_CLASS)
result.enable(Capability.MISSING_CLASS_VALUES)
# instances
result.setMinimumNumberInstances(0)
return result
def getCapabilities(self):
"""
returns the capabilities of this classifier
Return:
the capabilities of this classifier
"""
result = AbstractClassifier.getCapabilities(self)
# attributes
result.enable(Capability.NOMINAL_ATTRIBUTES)
result.enable(Capability.NUMERIC_ATTRIBUTES)
result.enable(Capability.DATE_ATTRIBUTES)
result.enable(Capability.STRING_ATTRIBUTES)
result.enable(Capability.RELATIONAL_ATTRIBUTES)
result.enable(Capability.MISSING_VALUES)
# class
result.enable(Capability.NOMINAL_CLASS)
result.enable(Capability.NUMERIC_CLASS)
result.enable(Capability.DATE_CLASS)
result.enable(Capability.MISSING_CLASS_VALUES)
# instances
result.setMinimumNumberInstances(0)
return result
def getOptions(self):
"""
Gets the current settings of the Classifier as string array.
Return:
an array of strings suitable for passing to setOptions
"""
return AbstractClassifier.getOptions(self)
def listOptions(self):
"""
Returns an enumeration describing the available options.
Return:
an enumeration of all the available options.
"""
return AbstractClassifier.listOptions(self)
def getOptions(self):
"""
Gets the current settings of the Classifier as string array.
Return:
an array of strings suitable for passing to setOptions
"""
return AbstractClassifier.getOptions(self)
def listOptions(self):
"""
Returns an enumeration describing the available options.
Return:
an enumeration of all the available options.
"""
return AbstractClassifier.listOptions(self)
return result
def toString(self):
"""
Prints a string representation of the classifier
Return:
string representation of the classifier
"""
if (self.__Class == None):
return "JeroR: No model built yet."
if (self.__Counts == None):
return "JeroR predicts class value: " + str(self.__ClassValue)
else:
return "JeroR predicts class value: " + str(self.__Class.value(int(self.__ClassValue)))
# simulating the Java "main" method
if __name__ == "__main__":
# need to set the following jython registory value:
# python.security.respectJavaAccessibility=false
#
# Links:
# - Python registry
# http://www.jython.org/docs/registry.html
# - Accessing Java protected static members:
# http://www.jython.org/cgi-bin/faqw.py?req=all#3.5
AbstractClassifier.runClassifier(JeroR(), sys.argv[1:])
def toString(self):
"""
Prints a string representation of the classifier
Return:
string representation of the classifier
"""
if (self.__Class == None):
return "JeroR: No model built yet."
if (self.__Counts == None):
return "JeroR predicts class value: " + str(self.__ClassValue)
else:
return "JeroR predicts class value: " + str(
self.__Class.value(int(self.__ClassValue)))
# simulating the Java "main" method
if __name__ == "__main__":
# need to set the following jython registory value:
# python.security.respectJavaAccessibility=false
#
# Links:
# - Python registry
# http://www.jython.org/docs/registry.html
# - Accessing Java protected static members:
# http://www.jython.org/cgi-bin/faqw.py?req=all#3.5
AbstractClassifier.runClassifier(JeroR(), sys.argv[1:])
