Interface | Description |
---|---|
ClassifierResult.Metric |
Generic interface for different Metrics
You can define custom metrics and use them by using their full class name
|
Class | Description |
---|---|
ApplicabilityTester |
Utility class for determining what kind of methods can be applied to a set of instances.
|
ApplicabilityTester.ApplicableClassifiers | |
ClassifierResult |
Wraps all the data that comes from training a classifier so it can be passed back to a SMBO method
|
ClassifierResult.AreaAboveROCMetric | |
ClassifierResult.AreaUnderROCMetric | |
ClassifierResult.AvgCostMetric | |
ClassifierResult.CorrectMetric | |
ClassifierResult.CorrelationCoefficientMetric | |
ClassifierResult.ErrorRateMetric | |
ClassifierResult.FalseNegativeRateMetric | |
ClassifierResult.FalsePositiveRateMetric | |
ClassifierResult.FMeasureMetric | |
ClassifierResult.IncorrectMetric | |
ClassifierResult.KappaMetric | |
ClassifierResult.KBInformationMetric | |
ClassifierResult.KBMeanInformationMetric | |
ClassifierResult.KBRelativeInformationMetric | |
ClassifierResult.MeanAbsoluteErrorMetric | |
ClassifierResult.PctCorrectMetric | |
ClassifierResult.PctIncorrectMetric | |
ClassifierResult.PrecisionMetric | |
ClassifierResult.RelativeAbsoluteErrorMetric | |
ClassifierResult.RootMeanSquaredErrorMetric | |
ClassifierResult.RootRelativeSquaredErrorMetric | |
ClassifierResult.WeightedAreaUnderROCMetric | |
ClassifierResult.WeightedFalseNegativeRateMetric | |
ClassifierResult.WeightedFalsePositiveRateMetric | |
ClassifierResult.WeightedFMeasureMetric | |
ClassifierResult.WeightedPrecisionMetric | |
ClassifierResult.WeightedRecallMetric | |
ClassifierResult.WeightedTrueNegativeRateMetric | |
ClassifierResult.WeightedTruePositiveRateMetric | |
ClassifierRunner |
Class that is responsible for actually running a WEKA classifier from start to finish using the Auto-WEKA argument format.
|
ClassifierRunner.EvaluatorThread | |
ClassParams |
Captures all the Parameters and Conditionals for a specific classifier that Auto-WEKA will search over
|
Conditional |
Simple struct that matains conditionality between params
|
Configuration | |
ConfigurationCollection | |
ConfigurationRanker | |
DefaultsExperimentConstructor |
Builds a list experiment that only tries to run the defaults for all valid classifiers
|
Experiment | |
Experiment.TrajectoryPointExtra |
Class capturing any of the extra dataset partitions that should be run on all the trajectory points for analysis
|
ExperimentBatch |
Helpful XML class that easily allows for the creation of multiple experiments.
|
ExperimentBatch.DatasetComponent |
Enscapsulates a dataset that you want to run experiments on
|
ExperimentBatch.ExperimentComponent |
Captures all the settings of an experiment that are not related to a dataset
|
ExperimentConstructor |
Abstract class responsible for generating all the necessary stuff to run an Auto-WEKA Experiment.
|
GridSearchExperimentConstructor |
Creates a ListExperiment that does a grid search over the allowable classifiers
|
InstanceGenerator |
Abstract class for partitioning a dataset (consisting of training and testing data) into 'instances' that are given to the SMBO method
|
InstanceGenerator.NestedArgs |
Struct for dealing with nested args on InstanceGenerators that are chained together.
|
ListExperimentConstructor | |
Parameter |
Captures all the data about if this parameter is categorical, numeric (and what the ranges are), and some other helper functions to get some data out of them
|
ParameterConditionalGroup | |
SubProcessWrapper |
An implementation of a Wrapper that should ideally just be called from other Java objects - it performes the training/evaluation of a classifier on a sub process to preserve the JVM of the caller
|
SubProcessWrapper.ErrorAndTime |
Small class that just encapsulates the error and time of a sub process run
TODO: Should really be changed to use a ClassifierResult instead
|
Trajectory |
Class that captures a trajectory of an optimisation run
|
Trajectory.Point |
Representation of a single point along the optimisation run
|
Trajectory.Point.SpecificInstanceInfo |
Class used to store this extra data
|
TrajectoryGroup |
Wrapper class that provides a nice way to get at a bunch of trajectories from an experiment run with different seeds
|
TrajectoryMerger |
Given a bunch of folders that have experiments in them, merges all the trajectories into a single file for easy analysis
|
TrajectoryParser |
Abstract class that SMBO Methods must provide that allows for trajectories to be extracted after a run has completed
|
TrajectoryPointExtraRunner |
Helper class that runs all the trajectoryPointExtras on a given trajectory - needed for analysis experiments
|
TrajectoryPointPredictionRunner | |
Util |
Bunches of random stuff that seems to be handy in all sorts of places
|
Util.NullPrintStream |
Utility to class to make a void print stream.
|
Util.ProcessKillerShutdownHook | |
WekaArgumentConverter |
Utility class that can convert arguments from Auto-WEKA to WEKA
|
WekaArgumentConverter.Arguments | |
Wrapper |
Generic class that gets called from an SMBO method, completes the evaluation, and returns the result back up to the SMBO method.
|
XmlSerializable |
Helper class to make objects easily be read to/from XML, as well as specifying them on the command line
|
Enum | Description |
---|---|
Parameter.ParamType |