com.rapidminer.operator.learner.functions.kernel.jmysvm.kernel
Class KernelDot
java.lang.Object
com.rapidminer.operator.learner.functions.kernel.jmysvm.kernel.Kernel
com.rapidminer.operator.learner.functions.kernel.jmysvm.kernel.KernelDot
- All Implemented Interfaces:
- java.io.Serializable
public class KernelDot
- extends Kernel
Linear Kernel
- Author:
- Stefan Rueping, Ingo Mierswa
- See Also:
- Serialized Form
|
Method Summary |
double |
calculate_K(int[] x_index,
double[] x_att,
int[] y_index,
double[] y_att)
Calculates kernel value of vectors x and y |
java.lang.String |
getDistanceFormula(double[] x,
java.lang.String[] attributeConstructions)
|
java.lang.String |
toString()
Output as String |
| Methods inherited from class com.rapidminer.operator.learner.functions.kernel.jmysvm.kernel.Kernel |
calculate_K_row, calculate_K, calculate_K, get_row, getCacheSize, init_kernel_cache, init, innerproduct, norm2, set_examples_size, swap |
| Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
KernelDot
public KernelDot()
- Class constructor
KernelDot
public KernelDot(SVMExamples examples,
int cacheSize)
- Class constructor
- Parameters:
examples - Container for the examples.
toString
public java.lang.String toString()
- Output as String
- Overrides:
toString in class Kernel
calculate_K
public double calculate_K(int[] x_index,
double[] x_att,
int[] y_index,
double[] y_att)
- Calculates kernel value of vectors x and y
- Specified by:
calculate_K in class Kernel
getDistanceFormula
public java.lang.String getDistanceFormula(double[] x,
java.lang.String[] attributeConstructions)
- Specified by:
getDistanceFormula in class Kernel
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