.Net Support Vector Machine v0.2

SparseLinearSvm Methods

The methods of the SparseLinearSvm class are listed below. For a complete list of SparseLinearSvm class members, see the SparseLinearSvm Members topic.

Public Instance Methods

ClassifyOverloaded.  
Equals (inherited from Object)Determines whether the specified Object is equal to the current Object.
ErrorRate (inherited from NSvm.SvmBase`1[[NSvm.SparseVector, NSvm, Version=0.2.0.41218, Culture=neutral, PublicKeyToken=null]]) 
GetHashCode (inherited from Object)Serves as a hash function for a particular type. GetHashCode is suitable for use in hashing algorithms and data structures like a hash table.
GetType (inherited from Object)Gets the Type of the current instance.
ReadDataFromReads a set of labeled points from a Stream following the specified DataEncoding.
RunSmo (inherited from NSvm.LinearSvmBase`1[[NSvm.SparseVector, NSvm, Version=0.2.0.41218, Culture=neutral, PublicKeyToken=null]]) 
ToString (inherited from Object)Returns a String that represents the current Object.

Protected Instance Methods

Classify (inherited from NSvm.SvmBase`1[[NSvm.SparseVector, NSvm, Version=0.2.0.41218, Culture=neutral, PublicKeyToken=null]])Overloaded.  
Finalize (inherited from Object)Allows an Object to attempt to free resources and perform other cleanup operations before the Object is reclaimed by garbage collection.
KernelOfOverloaded.  
KernelOf (inherited from NSvm.SvmBase`1[[NSvm.SparseVector, NSvm, Version=0.2.0.41218, Culture=neutral, PublicKeyToken=null]])Overloaded.  
MemberwiseClone (inherited from Object)Creates a shallow copy of the current Object.
TakeStepPrimal 

See Also

SparseLinearSvm Class | NSvm Namespace