Sets the attribute that statistics will be displayed for. @param index the index of the attribute to display

Sets the attribute that statistics will be displayed for. @param index the index of the attribute to display

Set the name of this plot @param name the name for this plot

Set the name of this plot @param name the name for this plot

Updates a classifier using the given instance. @param instance the instance to included @exception Exception if instance could not be incorporated su

For lazy learning, building classifier is only to prepare their inputs until classification time. @param instances set of instances serving as traini

For lazy learning, building classifier is only to prepare their inputs until classification time. @param instances set of instances serving as traini

Computes the result of the kernel function for two instances. If id1 == -1, eval use inst1 instead of an instance in the dataset. @param id1 the inde

Computes the result of the kernel function for two instances. If id1 == -1, eval use inst1 instead of an instance in the dataset. @param id1 the inde

Get the classifier currently set for this wrapper @return a <code>weka.classifiers.Classifier</code> value

Get the classifier currently set for this wrapper @return a <code>weka.classifiers.Classifier</code> value

Gets the retrieval mode. @return the retrieval mode

Gets the retrieval mode. @return the retrieval mode

Builds the tree structure. @param data the data for which the tree structure is to be generated. @param keepData is training data to be kept? @except

Builds the tree structure. @param data the data for which the tree structure is to be generated. @param keepData is training data to be kept? @except

compare this operation with another @param other: operation to compare with @return true if operation is the same

compare this operation with another @param other: operation to compare with @return true if operation is the same

get name of a particular value of a node @param iNode: index of the node @param iValue: index of the value @return cardinality of the specified node

get name of a particular value of a node @param iNode: index of the node @param iValue: index of the value @return cardinality of the specified node

Gets the current number of instances to use for the datasets. @return the number of instances

Gets the current number of instances to use for the datasets. @return the number of instances

gets the objective merit @return the objective merit of this population member

gets the objective merit @return the objective merit of this population member

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.) Th

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 the source BeanInstance for this connection @return a <code>BeanInstance</code> value

returns the source BeanInstance for this connection @return a <code>BeanInstance</code> value

Method just exists to make program easier to read.

Method just exists to make program easier to read.

This function calculates what the output value should be. @param node The node to calculate the value for. @return The value.

pads the given double on the left side with blanks and returns the string @param value the value to print as string @param a the width of the double

pads the given double on the left side with blanks and returns the string @param value the value to print as string @param a the width of the double

reads the XML-serialized object from the given file @filename the file to deserialize the object from @return the deserialized object @throws Exceptio

reads the XML-serialized object from the given file @filename the file to deserialize the object from @return the deserialized object @throws Exceptio

Sets a list of method names for additional measures to look for in SplitEvaluators. @param additionalMeasures a list of method names

Sets index of attribute to discretize on @param index the index (starting from 1) of the class attribute

Sets index of attribute to discretize on @param index the index (starting from 1) of the class attribute

Set the static version of the icon

Set the static version of the icon

Stratifies a set of instances according to its class values if the class attribute is nominal (so that afterwards a stratified cross-validation can be

Stratifies a set of instances according to its class values if the class attribute is nominal (so that afterwards a stratified cross-validation can be

scales the given x value with current x scale factor

scales the given x value with current x scale factor

Returns the sum of this matrix with another. @return a matrix containing the sum.

Returns the sum of this matrix with another. @return a matrix containing the sum.

Compactifies the set of instances. Decreases the capacity of the set so that it matches the number of instances in the set.

Compactifies the set of instances. Decreases the capacity of the set so that it matches the number of instances in the set.

Checks whether the resultset with the given index shall be displayed. @param index the index of the resultset to check whether it shall be displayed

Checks whether the resultset with the given index shall be displayed. @param index the index of the resultset to check whether it shall be displayed

Draw a filled rectangle in current pen color. @param x starting x coord @param y starting y coord @param width rectangle width @param height rectangl

Draw a filled rectangle in current pen color. @param x starting x coord @param y starting y coord @param width rectangle width @param height rectangl

returns the component that is stored in the output format

returns the component that is stored in the output format

Returns the target BeanInstance for this connection @return a <code>BeanInstance</code> value

Returns the target BeanInstance for this connection @return a <code>BeanInstance</code> value

Get the training instances @return an <code>Instances</code> value

Get the training instances @return an <code>Instances</code> value

Returns the number of created subsets for the split.

Returns the number of created subsets for the split.

registers all the editors in Weka

registers all the editors in Weka

Sets the class of values that can be edited. @param type a value of type 'Class'

Sets the class of values that can be edited. @param type a value of type 'Class'

Set the seed for random number generation. @param seed the seed

Gets the size of the matrix. @return the size.

Gets the size of the matrix. @return the size.

Split up a string containing options into an array of strings, one for each option. @param optionString the string containing the options @return the

Split up a string containing options into an array of strings, one for each option. @param optionString the string containing the options @return the

Perform attribute selection with a particular evaluator and a set of options specifying search method and input file etc. @param ASEvaluator an evalu

Perform attribute selection with a particular evaluator and a set of options specifying search method and input file etc. @param ASEvaluator an evalu

Accept and process a test set event @param e a <code>TestSetEvent</code> value

Accept and process a training set @param e a <code>TrainingSetEvent</code> value

Copies one array of type int[][] to another.

Copies one array of type int[][] to another.

Computes class distribution for an attribute.

Computes class distribution for an attribute.

This function calculates what the error value should be. @param node The node to calculate the error for. @return The error.

returns whether KOML is present or not, i.e. whether the classes are in the classpath or not @return whether KOML is available

returns whether KOML is present or not, i.e. whether the classes are in the classpath or not @return whether KOML is available

This is called for polylines to see where there two lines that extend to infinity cut the border of the view. @param x1 an x point along the line @par

This is called for polylines to see where there two lines that extend to infinity cut the border of the view. @param x1 an x point along the line @par

Returns the mean (mode) for a numeric (nominal) attribute as a floating-point value. Returns 0 if the attribute is neither nominal nor numeric. If all

Returns the mean (mode) for a numeric (nominal) attribute as a floating-point value. Returns 0 if the attribute is neither nominal nor numeric. If all

Not implemented