Package org.tribuo.math.kernel
Class Linear
java.lang.Object
org.tribuo.math.kernel.Linear
- All Implemented Interfaces:
com.oracle.labs.mlrg.olcut.config.Configurable
,com.oracle.labs.mlrg.olcut.provenance.Provenancable<com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance>
,Serializable
,Kernel
,ProtoSerializable<org.tribuo.math.protos.KernelProto>
A linear kernel, u.dot(v).
- See Also:
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Field Summary
Modifier and TypeFieldDescriptionstatic final int
Protobuf serialization version.Fields inherited from interface org.tribuo.protos.ProtoSerializable
DESERIALIZATION_METHOD_NAME, PROVENANCE_SERIALIZER
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Constructor Summary
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Method Summary
Modifier and TypeMethodDescriptionstatic Linear
deserializeFromProto
(int version, String className, com.google.protobuf.Any message) Deserialization factory.boolean
com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance
int
hashCode()
org.tribuo.math.protos.KernelProto
Serializes this object to a protobuf.double
Calculates the similarity between twoSparseVector
s.toString()
Methods inherited from class java.lang.Object
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
Methods inherited from interface com.oracle.labs.mlrg.olcut.config.Configurable
postConfig
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Field Details
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CURRENT_VERSION
public static final int CURRENT_VERSIONProtobuf serialization version.- See Also:
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Constructor Details
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Linear
public Linear()A linear kernel, u.dot(v).
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Method Details
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deserializeFromProto
public static Linear deserializeFromProto(int version, String className, com.google.protobuf.Any message) Deserialization factory.- Parameters:
version
- The serialized object version.className
- The class name.message
- The serialized data.- Returns:
- The deserialized object.
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serialize
public org.tribuo.math.protos.KernelProto serialize()Description copied from interface:ProtoSerializable
Serializes this object to a protobuf.- Specified by:
serialize
in interfaceProtoSerializable<org.tribuo.math.protos.KernelProto>
- Returns:
- The protobuf.
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similarity
Description copied from interface:Kernel
Calculates the similarity between twoSparseVector
s.- Specified by:
similarity
in interfaceKernel
- Parameters:
a
- The first SparseVector.b
- The second SparseVector.- Returns:
- A value between 0 and 1, where 1 is most similar and 0 is least similar.
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toString
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getProvenance
public com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance getProvenance()- Specified by:
getProvenance
in interfacecom.oracle.labs.mlrg.olcut.provenance.Provenancable<com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance>
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equals
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hashCode
public int hashCode()
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