update docs

Xtra-Computing · Jul 3, 2018 · 9c91909 · 9c91909
1 parent 82443c0
commit 9c91909
Showing 1 changed file with 5 additions and 5 deletions.
diff --git a/python/README.md b/python/README.md
@@ -54,18 +54,18 @@ The usage of thundersvm scikit interface is similar to sklearn.svm.
 
 
 ##### SVM classification
-*class SVC(kernel = 2, degree = 3, gamma = 'auto', coef0 = 0.0, C = 1.0, tol = 0.001, probability = False, class_weight = None, shrinking = False, cache_size = None, verbose = False, max_iter = -1, n_jobs = -1, random_state = None, decison_function_shape = 'ovo')*
+*class SVC(kernel = 'rbf', degree = 3, gamma = 'auto', coef0 = 0.0, C = 1.0, tol = 0.001, probability = False, class_weight = None, shrinking = False, cache_size = None, verbose = False, max_iter = -1, n_jobs = -1, random_state = None, decison_function_shape = 'ovo')*
 
-*class NuSVC(kernel = 2, degree = 3, gamma = 'auto', coef0 = 0.0, nu = 0.5, tol = 0.001, probability = False, shrinking = False, cache_size = None, verbose = False, max_iter = -1, n_jobs = -1, random_state = None, decison_function_shape = 'ovo')*
+*class NuSVC(kernel = 'rbf', degree = 3, gamma = 'auto', coef0 = 0.0, nu = 0.5, tol = 0.001, probability = False, shrinking = False, cache_size = None, verbose = False, max_iter = -1, n_jobs = -1, random_state = None, decison_function_shape = 'ovo')*
 
 ##### One-class SVMs
 
-*class OneClassSVM(kernel = 2, degree = 3, gamma = 'auto', coef0 = 0.0, nu = 0.5, tol = 0.001, shrinking = False, cache_size = None, verbose = False, max_iter = -1, n_jobs = -1, random_state = None)*
+*class OneClassSVM(kernel = 'rbf', degree = 3, gamma = 'auto', coef0 = 0.0, nu = 0.5, tol = 0.001, shrinking = False, cache_size = None, verbose = False, max_iter = -1, n_jobs = -1, random_state = None)*
 
 ##### SVM regression
-class SVR(kernel = 2, degree = 3, gamma = 'auto', coef0 = 0.0, C = 1.0, epsilon = 0.1, tol = 0.001, probability = False, shrinking = False, cache_size = None, verbose = False, max_iter = -1, n_jobs = -1)
+class SVR(kernel = 'rbf', degree = 3, gamma = 'auto', coef0 = 0.0, C = 1.0, epsilon = 0.1, tol = 0.001, probability = False, shrinking = False, cache_size = None, verbose = False, max_iter = -1, n_jobs = -1)
 
-*class NuSVR(kernel = 2, degree = 3, gamma = 'auto', coef0 = 0.0, nu = 0.5, C = 1.0, tol = 0.001, probability = False, shrinking = False,  cache_size = None, verbose = False, max_iter = -1, n_jobs = -1)*
+*class NuSVR(kernel = 'rbf', degree = 3, gamma = 'auto', coef0 = 0.0, nu = 0.5, C = 1.0, tol = 0.001, probability = False, shrinking = False,  cache_size = None, verbose = False, max_iter = -1, n_jobs = -1)*
 
 
 ### Parameters