SVC class
An implementation of sklearn.svm.SVC.
https://scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html
- Inheritance
-
- Object
- Classifier
- SVC
Constructors
-
SVC(List supportVectors, List dualCoef, List intercept, List nSupport, List<
int> classes, String kernel, double gamma, double coef0, int degree) - To manually instantiate the SVC. The parameters are lifted directly from scikit-learn. See the attributes here: https://scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html
- SVC.fromMap(Map params)
-
factory
Properties
-
classes
↔ List<
int> -
getter/setter pair
- coef0 ↔ double
-
getter/setter pair
- degree ↔ int
-
getter/setter pair
- dualCoef ↔ List
-
getter/setter pair
- gamma ↔ double
-
getter/setter pair
- hashCode → int
-
The hash code for this object.
no setterinherited
- intercept ↔ List
-
getter/setter pair
- kernel ↔ String
-
getter/setter pair
- nSupport ↔ List
-
getter/setter pair
- runtimeType → Type
-
A representation of the runtime type of the object.
no setterinherited
- supportVectors ↔ List
-
getter/setter pair
Methods
-
fromURL(
String url) → dynamic -
Override in all classes extending Classifier.
Load a model from a URL using an HTTP request
@TODO
inherited
-
linear(
List< double> X) → List<double> - Linear kernel.
-
noSuchMethod(
Invocation invocation) → dynamic -
Invoked when a nonexistent method or property is accessed.
inherited
-
poly(
List< double> X) → List<double> - Polynomial kernel.
-
predict(
List< double> X) → int -
Implementation of sklearn.svm.SVC.predict.
override
-
rbf(
List< double> X) → List<double> - RBF kernel.
-
sigmoid(
List< double> X) → List<double> - Sigmoid kernel.
-
toString(
) → String -
A string representation of this object.
inherited
Operators
-
operator ==(
Object other) → bool -
The equality operator.
inherited