class sklearn.svm.OneClassSVM(kernel=’rbf’, degree=3, gamma=’auto_deprecated’, coef0=0.0, tol=0.001, nu=0.5, shrinking=True, cache_size=200, verbose=False, max_iter=1, random_state=None)
[source]
Unsupervised Outlier Detection.
Estimate the support of a highdimensional distribution.
The implementation is based on libsvm.
Read more in the User Guide.
Parameters: 


Attributes: 

decision_function (X)  Signed distance to the separating hyperplane. 
fit (X[, y, sample_weight])  Detects the soft boundary of the set of samples X. 
fit_predict (X[, y])  Performs outlier detection on X. 
get_params ([deep])  Get parameters for this estimator. 
predict (X)  Perform classification on samples in X. 
score_samples (X)  Raw scoring function of the samples. 
set_params (**params)  Set the parameters of this estimator. 
__init__(kernel=’rbf’, degree=3, gamma=’auto_deprecated’, coef0=0.0, tol=0.001, nu=0.5, shrinking=True, cache_size=200, verbose=False, max_iter=1, random_state=None)
[source]
decision_function(X)
[source]
Signed distance to the separating hyperplane.
Signed distance is positive for an inlier and negative for an outlier.
Parameters: 


Returns: 

fit(X, y=None, sample_weight=None, **params)
[source]
Detects the soft boundary of the set of samples X.
Parameters: 


Returns: 

If X is not a Cordered contiguous array it is copied.
fit_predict(X, y=None)
[source]
Performs outlier detection on X.
Returns 1 for outliers and 1 for inliers.
Parameters: 


Returns: 

get_params(deep=True)
[source]
Get parameters for this estimator.
Parameters: 


Returns: 

predict(X)
[source]
Perform classification on samples in X.
For an oneclass model, +1 or 1 is returned.
Parameters: 


Returns: 

score_samples(X)
[source]
Raw scoring function of the samples.
Parameters: 


Returns: 

set_params(**params)
[source]
Set the parameters of this estimator.
The method works on simple estimators as well as on nested objects (such as pipelines). The latter have parameters of the form <component>__<parameter>
so that it’s possible to update each component of a nested object.
Returns: 


sklearn.svm.OneClassSVM
© 2007–2018 The scikitlearn developers
Licensed under the 3clause BSD License.
http://scikitlearn.org/stable/modules/generated/sklearn.svm.OneClassSVM.html