class
A bean that appends multiple incoming data connections into a single data
set.
class
Bean that wraps around weka.associations.
class
Bean that encapsulates displays bar graph summaries for attributes in a data
set.
class
Bean that assigns a class attribute to a data set.
class
Bean that wraps around weka.classifiers
class
A bean that evaluates the performance of batch trained classifiers
class
class
Bean that wraps around weka.clusterers
class
A bean that evaluates the performance of batch trained clusterers
class
Bean for splitting instances into training ant test sets according to a cross
validation
class
Bean that encapsulates weka.gui.visualize.VisualizePanel
class
A wrapper bean for Weka filters
class
A bean that splits incoming instances (or instance streams) according to the
evaluation of a logical expression.
class
Bean that evaluates incremental classifiers
class
Bean that converts an instance stream into a (batch) data set.
class
class
Loads data sets using weka.core.converter classes
class
A meta bean that encapsulates several other regular beans, useful for
grouping large KnowledgeFlows.
class
Bean that can be used for displaying threshold curves (e.g.
class
Bean that can can accept batch or incremental classifier events and produce
dataset or instance events which contain instances with predictions appended.
class
Bean that encapsulates weka.gui.visualize.MatrixPanel for displaying a
scatter plot matrix.
class
Sorts incoming instances in ascending or descending
order according to the values of user specified attributes.
class
A bean that finds matches in string attribute values (using either substring
or regular expression matches) and labels the instance (sets the value of a
new attribute) according to the supplied label for the matching rule.
class
A bean that can replace substrings in the values of string attributes.
class
Bean that accepts data sets and produces test sets
class
Bean that collects and displays pieces of text
class
Bean that accepts a data sets and produces a training set
class
Bean that accepts data sets, training sets, test sets and produces both a
training and test set by randomly spliting the data