def parse_options()

in liblinear/liblinear.py [0:0]

• 84 lines of code
• 2 McCabe index (conditional complexity)

	def parse_options(self, options):
		if isinstance(options, list):
			argv = options
		elif isinstance(options, str):
			argv = options.split()
		else:
			raise TypeError("arg 1 should be a list or a str.")
		self.set_to_default_values()
		self.print_func = cast(None, PRINT_STRING_FUN)
		weight_label = []
		weight = []

		i = 0
		while i < len(argv) :
			if argv[i] == "-s":
				i = i + 1
				self.solver_type = int(argv[i])
				self.flag_solver_specified = True
			elif argv[i] == "-c":
				i = i + 1
				self.C = float(argv[i])
				self.flag_C_specified = True
			elif argv[i] == "-p":
				i = i + 1
				self.p = float(argv[i])
				self.flag_p_specified = True
			elif argv[i] == "-e":
				i = i + 1
				self.eps = float(argv[i])
			elif argv[i] == "-B":
				i = i + 1
				self.bias = float(argv[i])
			elif argv[i] == "-v":
				i = i + 1
				self.flag_cross_validation = 1
				self.nr_fold = int(argv[i])
				if self.nr_fold < 2 :
					raise ValueError("n-fold cross validation: n must >= 2")
			elif argv[i] == "-n":
				i = i + 1
				self.flag_omp = True
				self.nr_thread = int(argv[i])
			elif argv[i].startswith("-w"):
				i = i + 1
				self.nr_weight += 1
				weight_label += [int(argv[i-1][2:])]
				weight += [float(argv[i])]
			elif argv[i] == "-q":
				self.print_func = PRINT_STRING_FUN(print_null)
			elif argv[i] == "-C":
				self.flag_find_parameters = True

			else:
				raise ValueError("Wrong options")
			i += 1

		liblinear.set_print_string_function(self.print_func)
		self.weight_label = (c_int*self.nr_weight)()
		self.weight = (c_double*self.nr_weight)()
		for i in range(self.nr_weight):
			self.weight[i] = weight[i]
			self.weight_label[i] = weight_label[i]

		# default solver for parameter selection is L2R_L2LOSS_SVC
		if self.flag_find_parameters:
			if not self.flag_cross_validation:
				self.nr_fold = 5
			if not self.flag_solver_specified:
				self.solver_type = L2R_L2LOSS_SVC
				self.flag_solver_specified = True
			elif self.solver_type not in [L2R_LR, L2R_L2LOSS_SVC, L2R_L2LOSS_SVR]:
				raise ValueError("Warm-start parameter search only available for -s 0, -s 2 and -s 11")

		if self.flag_omp:
			if not self.flag_solver_specified:
				self.solver_type = L2R_L2LOSS_SVC
				self.flag_solver_specified = True
			elif self.solver_type not in [L2R_LR, L2R_L2LOSS_SVC, L2R_L2LOSS_SVR, L2R_L2LOSS_SVC_DUAL, L2R_L1LOSS_SVC_DUAL, L1R_LR, L1R_L2LOSS_SVC]:
				raise ValueError("Parallel LIBLINEAR is only available for -s 0, 1, 2, 3, 5, 6, 11 now")

		if self.eps == float('inf'):
			if self.solver_type in [L2R_LR, L2R_L2LOSS_SVC]:
				self.eps = 0.01
			elif self.solver_type in [L2R_L2LOSS_SVR]:
				self.eps = 0.0001
			elif self.solver_type in [L2R_L2LOSS_SVC_DUAL, L2R_L1LOSS_SVC_DUAL, MCSVM_CS, L2R_LR_DUAL]:
				self.eps = 0.1
			elif self.solver_type in [L1R_L2LOSS_SVC, L1R_LR]:
				self.eps = 0.01
			elif self.solver_type in [L2R_L2LOSS_SVR_DUAL, L2R_L1LOSS_SVR_DUAL]:
				self.eps = 0.1