我不确定我问的是否可行，但我希望能够使用所有参数定义SVM类，然后将其传递给SVM方法 .
我的最终目标是创建一个基本的GUI，允许用户使用按钮更改SVM的不同参数，我想不出任何其他方法来实现这一点 .
如果我对此采取完全错误的方式，我也会对如何实现这一点提出任何其他建议 .
先感谢您 .
class SupportVectorMachine:
def __init__(self, C, cache_size, class_weight, coef0, decision_function_shape, degree, gamma, kernel, max_iter, probability, random_state, shrinking, tol, verbose):
self.C = C
self.cache_size = cache_size
self.class_weight = class_weight
self.coef0 = coef0
self.decision_function_shape = decision_function_shape
self.degree = degree
self.gamma = gamma
self.kernel = kernel
self.max_iter = max_iter
self.probability = probability
self.random_state = random_state
self.shrinking = shrinking
self.tol = tol
self.verbose = verbose
DefaultSVM = SupportVectorMachine(1.0, 200, None, 0.0, 'ovr', 3, 'auto', 'rbf', -1, False, None, True, 0.001, False)
def support_vector_machine():
x = training_data
y = training_labels
clf = svm.SVC()
clf.fit(x,y)
print(clf)