程序包 weka.experiment


package weka.experiment
  • 说明
    Takes the results from a ResultProducer and submits the average to the result listener.
    A SplitEvaluator that produces results for a classification scheme on a nominal class attribute.
    Interface to something that can accept remote connections and execute a task.
    SplitEvaluator that produces results for a classification scheme on a nominal class attribute, including weighted misclassification costs.
    Generates for each run, carries out an n-fold cross-validation, using the set SplitEvaluator to generate some results.
    Takes results from a result producer and assembles them into comma separated value form.
    Takes results from a result producer and sends them to a database.
    Examines a database and extracts out the results produced by the specified ResultProducer and submits them to the specified ResultListener.
    DatabaseUtils provides utility functions for accessing the experiment database.
    A SplitEvaluator that produces results for a density based clusterer.
    Holds all the necessary configuration information for a standard type experiment.
    Convert the results of a database query into instances.
    Outputs the received results in arff format to a Writer.
    Tells a sub-ResultProducer to reproduce the current run for varying sized subsamples of the dataset.
    OutputZipper writes output to either gzipped files or to a multi entry zip file.
    Behaves the same as PairedTTester, only it uses the corrected resampled t-test statistic.
    A class for storing stats on a paired comparison (t-test and correlation)
    A class for storing stats on a paired comparison.
    Calculates T-Test statistics on data stored in a set of instances.
    Stores information on a property of an object: the class of the object with the property; the property descriptor, and the current value.
    Generates a single train/test split and calls the appropriate SplitEvaluator to generate some results.
    A SplitEvaluator that produces results for a classification scheme on a numeric class attribute.
    A general purpose server for executing Task objects sent via RMI.
    Holds all the necessary configuration information for a distributed experiment.
    Class encapsulating information on progress of a remote experiment
    Interface for classes that want to listen for updates on RemoteExperiment progress
    Class to encapsulate an experiment as a task that can be executed on a remote host.
    Interface for objects able to listen for results obtained by a ResultProducer
    This matrix is a container for the datasets and classifier setups and their statistics.
    This matrix is a container for the datasets and classifier setups and their statistics.
    This matrix is a container for the datasets and classifier setups and their statistics.
    This matrix is a container for the datasets and classifier setups and their statistics.
    This matrix is a container for the datasets and classifier setups and their statistics.
    This matrix is a container for the datasets and classifier setups and their statistics.
    This matrix is a container for the datasets and classifier setups and their statistics.
    This interface defines the methods required for an object that produces results for different randomizations of a dataset.
    Interface to objects able to generate a fixed set of results for a particular split of a dataset.
    A class to store simple statistics
    Interface to something that can be remotely executed as a task.
    A class holding information for tasks being executed on RemoteEngines.
    Interface for different kinds of Testers in the Experimenter.