|
gptkbp:instanceOf
|
gptkb:class
gptkb:model
|
|
gptkbp:author
|
gptkb:scikit-learn_developers
|
|
gptkbp:backend
|
libsvm
|
|
gptkbp:canUseKernel
|
linear
sigmoid
poly
rbf
|
|
gptkbp:class
|
sklearn.svm.SVC
|
|
gptkbp:compatibleWith
|
regression
|
|
gptkbp:containsModule
|
sklearn.svm
|
|
gptkbp:decisionFunctionMethod
|
decision_function
|
|
gptkbp:defaultKernel
|
rbf
|
|
gptkbp:documentation
|
https://scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html
|
|
gptkbp:fitMethod
|
fit
|
|
gptkbp:fullName
|
sklearn.svm.SVC
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
scikit-learn SVC
|
|
gptkbp:implementedIn
|
support vector classification
|
|
gptkbp:input
|
pandas DataFrame
numpy array
|
|
gptkbp:introducedIn
|
scikit-learn 0.9
|
|
gptkbp:license
|
gptkb:BSD
|
|
gptkbp:openSource
|
true
|
|
gptkbp:output
|
gptkb:list
numpy array
|
|
gptkbp:parameter
|
gptkb:university
gptkb:operating_system
C
probability
gamma
shrinking
tol
verbose
random_state
coef0
cache_size
class_weight
max_iter
break_ties
decision_function_shape
|
|
gptkbp:partOf
|
gptkb:scikit-learn
|
|
gptkbp:predictMethod
|
predict
|
|
gptkbp:probabilityMethod
|
predict_proba
|
|
gptkbp:relatedTo
|
scikit-learn LinearSVC
scikit-learn NuSVC
|
|
gptkbp:supports
|
binary classification
multiclass classification
one-vs-one classification
probability estimates (if probability=True)
|
|
gptkbp:usedFor
|
gptkb:dictionary
|
|
gptkbp:bfsParent
|
gptkb:Support_Vector_Classification
|
|
gptkbp:bfsLayer
|
7
|