def __init__(self, nbInput, number, nameOutput):
self.nbInput = nbInput
self.number = number
self.nameOutput = nameOutput
self.weight = np.ones(self.nbInput, dtype=float)
# self.weight = np.random.uniform(low=0.9, high=1, size=(self.nbInput,))
self.mt = Math()
def __init__(self, data):
self.data = data
expression = self.data.get_parameter()
self.commands_event = {
CommandsEnum.start.value: Start(),
CommandsEnum.help.value: Help(),
CommandsEnum.math.value: Math(expression)
}
self.response = ""
def __init__(self, nbInput, allOutput):
self.nbOutput = len(allOutput)
self.nbInput = nbInput
self.m = Math()
for i, d in enumerate(allOutput):
self.addClassifier(i, d)
