Exemple #1
0
	def __init__(self, penalty=None, alpha=1.0, search_eta=None, n_iter=1000, eps=1e-5):
		if penalty not in [None, "l1", "l2"]:
			raise ValueError()
		self.penalty_ = penalty
		self.alpha_ = alpha
		baseRegression.__init__(self, search_eta=search_eta, n_iter=n_iter, eps=eps)
		if (search_eta is None) and (penalty == "l1"):
			self.search_eta = self.search_eta_decrescendo
		return
Exemple #2
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	def __init__(self, prob_func=None, penalty="l2", class_weight=None, C=1.0, search_eta=None, n_iter=1000, eps=1e-5):
		if penalty not in ["l1", "l2"]:
			raise ValueError()
		if prob_func not in [None, "sigmoid", "softmax"]:
			raise ValueError()
		if (not isinstance(class_weight, dict)) and (class_weight not in [None, "balanced"]):
			raise ValueError()
		self.penalty_ = penalty
		self.class_weight = class_weight
		self.alpha_ = 1.0 / C
		self.prob_func_ = prob_func
		baseRegression.__init__(self, search_eta=search_eta, n_iter=n_iter, eps=eps)
		if (search_eta is None) and (penalty == "l1"):
			self.search_eta = self.search_eta_decrescendo
		return