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Interface weka.experiment.SplitEvaluator

public interface SplitEvaluator
extends Serializable
Interface to objects able to generate a fixed set of results for a particular split of a dataset. The set of results should contain fields related to any settings of the SplitEvaluator (not including the dataset name. For example, one field for the classifier used to get the results, another for the classifier options, etc).

Possible implementations of SplitEvaluator:

Version:
$Revision: 1.1 $
Author:
Len Trigg (trigg@cs.waikato.ac.nz)

Method Index

o getKey()
Gets the key describing the current SplitEvaluator.
o getKeyNames()
Gets the names of each of the key columns produced for a single run.
o getKeyTypes()
Gets the data types of each of the key columns produced for a single run.
o getResult(Instances, Instances)
Gets the results for the supplied train and test datasets.
o getResultNames()
Gets the names of each of the result columns produced for a single run.
o getResultTypes()
Gets the data types of each of the result columns produced for a single run.

Methods

o getKeyNames 
 public abstract String[] getKeyNames()
Gets the names of each of the key columns produced for a single run. The names should not contain spaces (use '_' instead for easy translation.) The number of key fields must be constant for a given SplitEvaluator.

Returns:
an array containing the name of each key column
o getKeyTypes 
 public abstract Object[] getKeyTypes()
Gets the data types of each of the key columns produced for a single run. The number of key fields must be constant for a given SplitEvaluator.

Returns:
an array containing objects of the type of each key column. The objects should be Strings, or Doubles.
o getResultNames 
 public abstract String[] getResultNames()
Gets the names of each of the result columns produced for a single run. The names should not contain spaces (use '_' instead for easy translation.) The number of result fields must be constant for a given SplitEvaluator.

Returns:
an array containing the name of each result column
o getResultTypes 
 public abstract Object[] getResultTypes()
Gets the data types of each of the result columns produced for a single run. The number of result fields must be constant for a given SplitEvaluator.

Returns:
an array containing objects of the type of each result column. The objects should be Strings, or Doubles.
o getKey 
 public abstract Object[] getKey()
Gets the key describing the current SplitEvaluator. For example This may contain the name of the classifier used for classifier predictive evaluation. The number of key fields must be constant for a given SplitEvaluator.

Returns:
a value of type 'Object'
o getResult 
 public abstract Object[] getResult(Instances train,
                                    Instances test) throws Exception
Gets the results for the supplied train and test datasets.

Parameters:
train - the training Instances.
test - the testing Instances.
Returns:
the results stored in an array. The objects stored in the array may be Strings, Doubles, or null (for the missing value).
Throws: Exception
if a problem occurs while getting the results 
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