Class | Description |
---|---|
Association |
An
Association simply associates a numeric ID with a String description. |
Distributions |
Class implementing some distributions, tests, etc.
|
EvaluateModel |
Class for evaluating machine learning models.
|
Function |
Class for handling a linear function.
|
Impurity |
Class for handling the impurity values when spliting the instances
|
Information |
Class to store information about an option.
|
InformationHandler |
Class for handing options.
|
Interval |
Class representing a range of cardinal numbers.
|
M5 |
M5 algorithm main class.
|
M5Attribute |
Class for handling an attribute.
|
M5AttrStats |
A Utility class that contains summary information on an
the values that appear in a dataset for a particular attribute.
|
M5Instance |
Class for handling an instance.
|
M5Instances |
Class for handling an ordered set of weighted instances.
|
M5Kernel |
Simple kernel density estimator.
|
M5Matrix |
Class for handling a matrix
|
M5SparseInstance |
Class for storing an instance as a sparse vector.
|
M5StaticUtils |
Class implementing some simple utility methods.
|
M5TreeNode |
Class for handing a node in the tree or the subtree under this node
|
M5Vector |
Implements a fast vector class without synchronized
methods.
|
Measures |
Class for performance measures
|
NominalToBinaryFilter |
Converts all nominal attributes into binary numeric
attributes.
|
Queue |
Class representing a FIFO queue.
|
ReplaceMissingValuesFilter |
Replaces all missing values for nominal and numeric attributes in a
dataset with the modes and means from the training data.
|
Results |
Class for containing the evaluation results of a model
|
SelectedAssociation |
Represents a selected value from a finite set of values, where each
value is a Tag (i.e. has some string associated with it).
|
SerializedObject |
This class stores an object serialized in memory.
|
SimpleStatistics |
A class to store simple statistics
|
SplitInfo |
Stores split information.
|
StatisticsStore |
Stores some statistics.
|