- cancelPressed() - Method in class weka.gui.knowledgeflow.steps.HadoopJobStepEditorDialog
-
- CENTROID_SKETCH_MAP_TASK_OPTIONS - Static variable in class weka.distributed.hadoop.KMeansCentroidSketchHadoopMapper
-
The key in the Configuration that the options for this task are associated
with
- CHART_HEIGHT_KEY - Static variable in class weka.distributed.hadoop.CSVToArffHeaderHadoopReducer
-
key for specifying a chart height to use
- CHART_WIDTH_KEY - Static variable in class weka.distributed.hadoop.CSVToArffHeaderHadoopReducer
-
key for specifying a chart width to use
- checkForWindowsAccessingHadoopOnLinux(Configuration) - Static method in class distributed.hadoop.HDFSUtils
-
If accessing Hadoop running on a *nix system from Windows then we have to
post-process the classpath setup for the job because it will contain ';'
rather than ':' as the separator.
- classAttributeTipText() - Method in class weka.distributed.hadoop.CorrelationMatrixHadoopJob
-
Tip text for this property
- classAttributeTipText() - Method in class weka.distributed.hadoop.RandomizedDataChunkHadoopJob
-
Tip text for this property
- classAttributeTipText() - Method in class weka.distributed.hadoop.WekaClassifierHadoopJob
-
Tip text for this property
- CLASSIFIER_MAP_TASK_OPTIONS - Static variable in class weka.distributed.hadoop.WekaClassifierHadoopMapper
-
The key in the Configuration that the options for this task are associated
with
- CLASSIFIER_WRITE_PATH - Static variable in class weka.distributed.hadoop.WekaClassifierHadoopReducer
-
The key in the Configuration that the write path for the model is
associated with
- cleanOutputDirectory(Job) - Method in class weka.distributed.hadoop.HadoopJob
-
Deletes the output directory for a job
- cleanOutputDirectoryTipText() - Method in class weka.distributed.hadoop.RandomizedDataChunkHadoopJob
-
Tip text for this property
- cleanup(Mapper<LongWritable, Text, Text, BytesWritable>.Context) - Method in class weka.distributed.hadoop.CorrelationMatrixHadoopMapper
-
- cleanup(Mapper<LongWritable, Text, Text, BytesWritable>.Context) - Method in class weka.distributed.hadoop.CSVToArffHeaderHadoopMapper
-
- cleanup(Mapper<LongWritable, Text, Text, BytesWritable>.Context) - Method in class weka.distributed.hadoop.KMeansCentroidSketchHadoopMapper
-
- cleanup(Mapper<LongWritable, Text, Text, BytesWritable>.Context) - Method in class weka.distributed.hadoop.KMeansHadoopMapper
-
- cleanup(Reducer<Text, Text, Text, Text>.Context) - Method in class weka.distributed.hadoop.RandomizedDataChunkHadoopReducer
-
- cleanup(Mapper<LongWritable, Text, Text, BytesWritable>.Context) - Method in class weka.distributed.hadoop.WekaClassifierHadoopMapper
-
- cleanup(Mapper<LongWritable, Text, Text, BytesWritable>.Context) - Method in class weka.distributed.hadoop.WekaFoldBasedClassifierEvaluationHadoopMapper
-
- cleanup(Mapper<LongWritable, Text, Text, BytesWritable>.Context) - Method in class weka.distributed.hadoop.WekaFoldBasedClassifierHadoopMapper
-
- cleanup(Mapper<LongWritable, Text, LongWritable, Text>.Context) - Method in class weka.distributed.hadoop.WekaScoringHadoopMapper
-
- closingCancel() - Method in class weka.gui.converters.HDFSLoaderCustomizer
-
- closingCancel() - Method in class weka.gui.converters.HDFSSaverCustomizer
-
- closingOK() - Method in class weka.gui.converters.HDFSLoaderCustomizer
-
- closingOK() - Method in class weka.gui.converters.HDFSSaverCustomizer
-
- COLT_JAR - Static variable in class weka.distributed.hadoop.HadoopJob
-
The path to the colt.jar
- columnsToOutputInScoredDataTipText() - Method in class weka.distributed.hadoop.WekaScoringHadoopJob
-
Tip text for this property
- COMBINER_CLASS - Static variable in class distributed.hadoop.MapReduceJobConfig
-
Internal key for the name of the combiner class
- configureForHadoop(Configuration, Environment) - Method in class distributed.hadoop.HDFSConfig
-
Populate the supplied Configuration object with HDFS-related settings
- configureForHadoop(String, Configuration, Environment) - Method in class distributed.hadoop.MapReduceJobConfig
-
Apply the settings encapsulated in this config and return a Job object
ready for execution.
- connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.AbstractHadoopJob
-
- connectionAllowed(String) - Method in class weka.gui.beans.AbstractHadoopJob
-
- connectionNotification(String, Object) - Method in class weka.gui.beans.AbstractHadoopJob
-
- constructHostURL(HDFSConfig, Environment) - Static method in class distributed.hadoop.HDFSConfig
-
Build an HDFS URL from the settings in the supplied HDFSConfig
- convergenceToleranceTipText() - Method in class weka.distributed.hadoop.KMeansClustererHadoopJob
-
Tip text for this property
- copyFilesToWekaHDFSInstallationDirectory(List<String>, HDFSConfig, Environment, boolean) - Static method in class distributed.hadoop.HDFSUtils
-
Copy a set of local files into the Weka installation directory in HDFS
- copyToHDFS(String, String, HDFSConfig, Environment, boolean) - Static method in class distributed.hadoop.HDFSUtils
-
Copy a local file into HDFS
- CORRELATION_MATRIX_MAP_TASK_OPTIONS - Static variable in class weka.distributed.hadoop.CorrelationMatrixHadoopMapper
-
The key in the Configuration that the options for this task are associated
with
- CorrelationMatrixHadoopJob - Class in weka.distributed.hadoop
-
Hadoop job for constructing a correlation matrix.
- CorrelationMatrixHadoopJob() - Constructor for class weka.distributed.hadoop.CorrelationMatrixHadoopJob
-
Constructor
- CorrelationMatrixHadoopJob - Class in weka.gui.beans
-
Knowledge Flow step for executing the CorrelationMatrixHadoopJob
- CorrelationMatrixHadoopJob() - Constructor for class weka.gui.beans.CorrelationMatrixHadoopJob
-
Constructor
- CorrelationMatrixHadoopJob - Class in weka.knowledgeflow.steps
-
Knowledge Flow step for the correlation matrix/PCA job
- CorrelationMatrixHadoopJob() - Constructor for class weka.knowledgeflow.steps.CorrelationMatrixHadoopJob
-
- CorrelationMatrixHadoopJobBeanInfo - Class in weka.distributed.hadoop
-
BeanInfo class for the CorrelationMatrixHadoopJob
- CorrelationMatrixHadoopJobBeanInfo() - Constructor for class weka.distributed.hadoop.CorrelationMatrixHadoopJobBeanInfo
-
- CorrelationMatrixHadoopJobBeanInfo - Class in weka.gui.beans
-
BeanInfo class for the CorrelationMatrixHadoopJob KF step
- CorrelationMatrixHadoopJobBeanInfo() - Constructor for class weka.gui.beans.CorrelationMatrixHadoopJobBeanInfo
-
- CorrelationMatrixHadoopMapper - Class in weka.distributed.hadoop
-
Hadoop Mapper implementation for the correlation matrix job.
- CorrelationMatrixHadoopMapper() - Constructor for class weka.distributed.hadoop.CorrelationMatrixHadoopMapper
-
- CorrelationMatrixRowHadoopReducer - Class in weka.distributed.hadoop
-
Hadoop Reducer implementation for the correlation matrix job.
- CorrelationMatrixRowHadoopReducer() - Constructor for class weka.distributed.hadoop.CorrelationMatrixRowHadoopReducer
-
- createRandomizedDataChunksTipText() - Method in class weka.distributed.hadoop.WekaClassifierHadoopJob
-
Tip text for this property
- CSV_TO_ARFF_HEADER_MAP_TASK_OPTIONS - Static variable in class weka.distributed.hadoop.CSVToArffHeaderHadoopMapper
-
The key in the Configuration that the options for this task are associated
with
- CSV_TO_ARFF_HEADER_WRITE_PATH - Static variable in class weka.distributed.hadoop.CSVToArffHeaderHadoopReducer
-
Key for the property that holds the write path for the output header file
- CSVToARFFHadoopJob - Class in weka.gui.beans
-
Knowledge Flow step for the CSVToARFFHadoopJob
- CSVToARFFHadoopJob() - Constructor for class weka.gui.beans.CSVToARFFHadoopJob
-
Constructor
- CSVToARFFHadoopJob - Class in weka.knowledgeflow.steps
-
Knowledge Flow step for the CSVToARFFHadoopJob
- CSVToARFFHadoopJob() - Constructor for class weka.knowledgeflow.steps.CSVToARFFHadoopJob
-
- CSVToARFFHadoopJobBeanInfo - Class in weka.gui.beans
-
BeanInfo class for the CSVToARFFHadoopJob KF step
- CSVToARFFHadoopJobBeanInfo() - Constructor for class weka.gui.beans.CSVToARFFHadoopJobBeanInfo
-
- CSVToArffHeaderHadoopMapper - Class in weka.distributed.hadoop
-
Mapper implementation for the ArffHeaderHadoop job
- CSVToArffHeaderHadoopMapper() - Constructor for class weka.distributed.hadoop.CSVToArffHeaderHadoopMapper
-
- CSVToArffHeaderHadoopReducer - Class in weka.distributed.hadoop
-
Reducer implementation for the ArffHeaderHadoopJob
- CSVToArffHeaderHadoopReducer() - Constructor for class weka.distributed.hadoop.CSVToArffHeaderHadoopReducer
-
- csvToArffTaskOptionsTipText() - Method in class weka.distributed.hadoop.ArffHeaderHadoopJob
-
Tip text for this property
- generateChartsTipText() - Method in class weka.distributed.hadoop.ArffHeaderHadoopJob
-
Tip text for this property
- getAdditionalWekaPackages() - Method in class weka.distributed.hadoop.HadoopJob
-
Get a comma separated list of the names of additional weka packages to use
with the job.
- getAggregatedHeaderPath() - Method in class weka.distributed.hadoop.ArffHeaderHadoopJob
-
- getAttributeNames() - Method in class weka.distributed.hadoop.ArffHeaderHadoopJob
-
Get a comma-separated list of attribute names to use when generating the
ARFF header.
- getAttributeNamesFile() - Method in class weka.distributed.hadoop.ArffHeaderHadoopJob
-
Get the path to an file containing attribute names to use.
- getBaseDescriptors() - Method in class weka.distributed.hadoop.HadoopJobBeanInfo
-
Get an array of PropertyDescriptors for the HadoopJob's public properties.
- getBaseOptionsOnly() - Method in class weka.distributed.hadoop.HadoopJob
-
Return the base options only (not the subclasses options or the options
specific to the configuration)
- getBeanDescriptor() - Method in class weka.core.converters.HDFSLoaderBeanInfo
-
- getBeanDescriptor() - Method in class weka.core.converters.HDFSSaverBeanInfo
-
- getBeanDescriptor() - Method in class weka.gui.beans.CorrelationMatrixHadoopJobBeanInfo
-
Get the bean descriptor for this bean
- getBeanDescriptor() - Method in class weka.gui.beans.CSVToARFFHadoopJobBeanInfo
-
Get the bean descriptor for this bean
- getBeanDescriptor() - Method in class weka.gui.beans.KMeansClustererHadoopJobBeanInfo
-
Get the bean descriptor for this bean
- getBeanDescriptor() - Method in class weka.gui.beans.RandomizedDataChunkHadoopJobBeanInfo
-
Get the bean descriptor for this bean
- getBeanDescriptor() - Method in class weka.gui.beans.WekaClassifierEvaluationHadoopJobBeanInfo
-
Get the bean descriptor for this bean
- getBeanDescriptor() - Method in class weka.gui.beans.WekaClassifierHadoopJobBeanInfo
-
Get the bean descriptor for this bean
- getBeanDescriptor() - Method in class weka.gui.beans.WekaScoringHadoopJobBeanInfo
-
Get the bean descriptor for this bean
- getCapabilities() - Method in class weka.core.converters.HDFSSaver
-
Returns the Capabilities of this saver.
- getClassAttribute() - Method in class weka.distributed.hadoop.CorrelationMatrixHadoopJob
-
Get the name or index of the class attribute.
- getClassAttribute() - Method in class weka.distributed.hadoop.RandomizedDataChunkHadoopJob
-
Get the name or index of the class attribute ("first" and "last" can also
be used)
- getClassAttribute() - Method in class weka.distributed.hadoop.WekaClassifierHadoopJob
-
Get the name or index of the class attribute ("first" and "last" can also
be used)
- getClassifier() - Method in class weka.distributed.hadoop.WekaClassifierHadoopJob
-
- getClassifierMapTaskOptions() - Method in class weka.distributed.hadoop.WekaClassifierHadoopJob
-
Get the options for the underlying map task
- getCleanOutputDirectory() - Method in class weka.distributed.hadoop.RandomizedDataChunkHadoopJob
-
Get whether to blow away the output directory before running.
- getClusterer() - Method in class weka.distributed.hadoop.KMeansClustererHadoopJob
-
- getColumnClass(int) - Method in class weka.gui.beans.InteractiveTableModel
-
- getColumnCount() - Method in class weka.gui.beans.InteractiveTableModel
-
- getColumnName(int) - Method in class weka.gui.beans.InteractiveTableModel
-
- getColumnsToOutputInScoredData() - Method in class weka.distributed.hadoop.WekaScoringHadoopJob
-
Get the columns to output (as a comma-separated list of indexes) in the
scored data.
- getCombinerClass() - Method in class distributed.hadoop.MapReduceJobConfig
-
Get the name of the reducer class (if any) to use.
- getConfig() - Method in class weka.core.converters.HDFSLoader
-
Get the HDFSConfig
- getConfig() - Method in class weka.core.converters.HDFSSaver
-
Get the HDFSConfig
- getConvergenceTolerance() - Method in class weka.distributed.hadoop.KMeansClustererHadoopJob
-
Get the convergence tolerance
- getCorrelationMapTaskOptions() - Method in class weka.distributed.hadoop.CorrelationMatrixHadoopJob
-
Get options for the correlation map tasks
- getCreateRandomizedDataChunks() - Method in class weka.distributed.hadoop.WekaClassifierHadoopJob
-
Get whether to create randomly shuffled (and stratified if the class is
nominal) data chunks via a pre-processing pass/job.
- getCSVMapTaskOptions() - Method in class weka.distributed.hadoop.CorrelationMatrixHadoopJob
-
Get the options for the csv map tasks
- getCSVMapTaskOptions() - Method in class weka.distributed.hadoop.KMeansClustererHadoopJob
-
Get the options to the header job
- getCSVMapTaskOptions() - Method in class weka.distributed.hadoop.RandomizedDataChunkHadoopJob
-
Get the options to the header job
- getCSVMapTaskOptions() - Method in class weka.distributed.hadoop.WekaClassifierHadoopJob
-
Get the options to the header job
- getCSVMapTaskOptions() - Method in class weka.distributed.hadoop.WekaScoringHadoopJob
-
Get the options for the ARFF header job
- getCsvToArffTaskOptions() - Method in class weka.distributed.hadoop.ArffHeaderHadoopJob
-
Get the options to pass on to the underlying csv to arff task
- getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.AbstractHadoopJob
-
- getCustomName() - Method in class weka.gui.beans.AbstractHadoopJob
-
- getDataSet() - Method in class weka.core.converters.HDFSLoader
-
- getDebug() - Method in class weka.distributed.hadoop.HadoopJob
-
Get whether to output debug info.
- getDFSReplicationFactor() - Method in class weka.core.converters.HDFSSaver
-
Get the dfs replication factor to use
- getDisplayCentroidStdDevs() - Method in class weka.distributed.hadoop.KMeansClustererHadoopJob
-
Get whether to display the standard deviations of centroids in textual
output of the model
- getDontDefaultToLastAttIfClassNotSpecified() - Method in class weka.distributed.hadoop.RandomizedDataChunkHadoopJob
-
Non-command line option to allow clients to turn off the default behavior
of defaulting to setting the last attribute as the class if not explicitly
specified.
- getEventSetDescriptors() - Method in class weka.gui.beans.AbstractHadoopJobBeanInfo
-
Get the event set descriptors pertinent to data sources
- getEventSetDescriptors() - Method in class weka.gui.beans.CorrelationMatrixHadoopJobBeanInfo
-
Get the event set descriptors pertinent to data sources
- getEventSetDescriptors() - Method in class weka.gui.beans.CSVToARFFHadoopJobBeanInfo
-
Get the event set descriptors pertinent to data sources
- getEventSetDescriptors() - Method in class weka.gui.beans.KMeansClustererHadoopJobBeanInfo
-
Get the event set descriptors pertinent to data sources
- getEventSetDescriptors() - Method in class weka.gui.beans.RandomizedDataChunkHadoopJobBeanInfo
-
Get the event set descriptors pertinent to data sources
- getEventSetDescriptors() - Method in class weka.gui.beans.WekaClassifierEvaluationHadoopJobBeanInfo
-
Get the event set descriptors pertinent to data sources
- getEventSetDescriptors() - Method in class weka.gui.beans.WekaClassifierHadoopJobBeanInfo
-
Get the event set descriptors pertinent to data sources
- getFinalHeader() - Method in class weka.distributed.hadoop.ArffHeaderHadoopJob
-
Get the header that was generated by the job.
- getGenerateCharts() - Method in class weka.distributed.hadoop.ArffHeaderHadoopJob
-
Get whether to generate summary charts as png files in the output directory
(histograms, pie charts, box plots).
- getHDFSConfig() - Method in class distributed.hadoop.MapReduceJobConfig
-
Get the HDFSConfig to use
- getHDFSHost() - Method in class distributed.hadoop.HDFSConfig
-
Get the HDFS (name node) host to use
- getHDFSHost() - Method in class distributed.hadoop.MapReduceJobConfig
-
Get the HDFS host (name node)
- getHDFSPath() - Method in class weka.core.converters.HDFSLoader
-
Get the path to save to in HDFS
- getHDFSPath() - Method in class weka.core.converters.HDFSSaver
-
Get the path to save to in HDFS
- getHDFSPort() - Method in class distributed.hadoop.HDFSConfig
-
Get the HDFS (name node) port
- getHDFSPort() - Method in class distributed.hadoop.MapReduceJobConfig
-
Get the HDFS port
- getImage() - Method in class weka.distributed.hadoop.CorrelationMatrixHadoopJob
-
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.AbstractHadoopJob
-
- getInitWithRandomCentroids() - Method in class weka.distributed.hadoop.KMeansClustererHadoopJob
-
Get whether to initialize with randomly selected centroids rather than
using the k-means|| initialization procedure.
- getInputFormatClass() - Method in class distributed.hadoop.MapReduceJobConfig
-
Get the name of the input format class to use.
- getInputPaths() - Method in class distributed.hadoop.MapReduceJobConfig
-
Get the input path(s) to use
- getInstances() - Method in class weka.distributed.hadoop.ArffHeaderHadoopJob
-
- getInstances() - Method in class weka.distributed.hadoop.WekaClassifierEvaluationHadoopJob
-
- getJobOptions() - Method in class weka.gui.beans.AbstractHadoopJob
-
Get the options for the underlying job
- getJobOptions() - Method in class weka.knowledgeflow.steps.AbstractHadoopJob
-
Get the options for the underlying job
- getJobOptionsOnly() - Method in class weka.distributed.hadoop.ArffHeaderHadoopJob
-
Get the options specific to this job only.
- getJobOptionsOnly() - Method in class weka.distributed.hadoop.CorrelationMatrixHadoopJob
-
Get just the job options
- getJobOptionsOnly() - Method in class weka.distributed.hadoop.KMeansClustererHadoopJob
-
Get the options for this job only
- getJobOptionsOnly() - Method in class weka.distributed.hadoop.RandomizedDataChunkHadoopJob
-
Get the options for this job only
- getJobOptionsOnly() - Method in class weka.distributed.hadoop.WekaClassifierEvaluationHadoopJob
-
Get the options pertaining to this job only
- getJobOptionsOnly() - Method in class weka.distributed.hadoop.WekaClassifierHadoopJob
-
Get the options for this job only
- getJobOptionsOnly() - Method in class weka.distributed.hadoop.WekaScoringHadoopJob
-
- getJobTrackerHost() - Method in class distributed.hadoop.AbstractHadoopJobConfig
-
Get the job tracker host name to use
- getJobTrackerPort() - Method in class distributed.hadoop.AbstractHadoopJobConfig
-
Get the port that the job tracker is running on
- getKMeansParallelInitSteps() - Method in class weka.distributed.hadoop.KMeansClustererHadoopJob
-
Get the number of iterations of the k-means|| initialization routine to
perform
- getLoader() - Method in class weka.core.converters.HDFSLoader
-
Get the base loader to use
- getLoggingInterval() - Method in class weka.distributed.hadoop.HadoopJob
-
Get the interval between output of logging information from running jobs.
- getMapNumber(String) - Static method in class weka.distributed.hadoop.HadoopJob
-
Get the number of the map attempt from the supplied task ID string
- getMapOutputKeyClass() - Method in class distributed.hadoop.MapReduceJobConfig
-
Get the name of the map output key class to use.
- getMapOutputValueClass() - Method in class distributed.hadoop.MapReduceJobConfig
-
Get the name of the map output value class to use.
- getMapperClass() - Method in class distributed.hadoop.MapReduceJobConfig
-
Get the mapper class name to use.
- getMapredMaxSplitSize() - Method in class distributed.hadoop.MapReduceJobConfig
-
Get the maximum split size (in bytes).
- getMapReduceJobConfig() - Method in class weka.distributed.hadoop.HadoopJob
-
Get the main configuration to use with this job
- getMapReduceNumber(String, String) - Static method in class weka.distributed.hadoop.HadoopJob
-
Extract the number of a map/reduce attempt from the supplied taskID string.
- getMatrix() - Method in class weka.distributed.hadoop.CorrelationMatrixHadoopJob
-
Get the matrix generated by this job, or null if the job has not been run
yet.
- getMinTrainingFraction() - Method in class weka.distributed.hadoop.WekaClassifierHadoopJob
-
Get the minimum training fraction.
- getModelFileName() - Method in class weka.distributed.hadoop.KMeansClustererHadoopJob
-
Get the name only for the model file
- getModelFileName() - Method in class weka.distributed.hadoop.WekaClassifierHadoopJob
-
Get the name only for the model file
- getModelPath() - Method in class weka.distributed.hadoop.WekaScoringHadoopJob
-
Get the path (HDFS or local) to the model to use for scoring.
- getNextInstance(Instances) - Method in class weka.core.converters.HDFSLoader
-
- getNumberOfMaps() - Method in class distributed.hadoop.MapReduceJobConfig
-
Get the number of maps to use.
- getNumberOfReducers() - Method in class distributed.hadoop.MapReduceJobConfig
-
Get the number of reducers to use.
- getNumClusters() - Method in class weka.distributed.hadoop.KMeansClustererHadoopJob
-
Get the number of clusters to find
- getNumInstancesPerRandomizedDataChunk() - Method in class weka.distributed.hadoop.RandomizedDataChunkHadoopJob
-
Get the number of instances that each randomly shuffled data chunk should
have.
- getNumInstancesPerRandomizedDataChunk() - Method in class weka.distributed.hadoop.WekaClassifierHadoopJob
-
Get the number of instances that each randomly shuffled data chunk should
have.
- getNumIterations() - Method in class weka.distributed.hadoop.KMeansClustererHadoopJob
-
Get the maximum number of k-means iterations to perform
- getNumIterations() - Method in class weka.distributed.hadoop.WekaClassifierHadoopJob
-
Get the number of iterations (passes over the data) to run in the model
building phase.
- getNumNodesInCluster() - Method in class weka.distributed.hadoop.CorrelationMatrixHadoopJob
-
Get the number of nodes in the Hadoop cluster
- getNumNodesInCluster() - Method in class weka.distributed.hadoop.KMeansClustererHadoopJob
-
Get the number of nodes in the Hadoop cluster
- getNumNodesInCluster() - Method in class weka.distributed.hadoop.WekaClassifierEvaluationHadoopJob
-
Get the number of nodes in the user's Hadoop cluster.
- getNumRandomizedDataChunks() - Method in class weka.distributed.hadoop.RandomizedDataChunkHadoopJob
-
Get the number of randomly shuffled data chunks to create.
- getNumRandomizedDataChunks() - Method in class weka.distributed.hadoop.WekaClassifierHadoopJob
-
Get the number of randomly shuffled data chunks to create.
- getNumRuns() - Method in class weka.distributed.hadoop.KMeansClustererHadoopJob
-
Get the number of k-means runs to perform in parallel
- getOptions() - Method in class distributed.hadoop.HDFSConfig
-
- getOptions() - Method in class distributed.hadoop.MapReduceJobConfig
-
- getOptions() - Method in class weka.core.converters.HDFSLoader
-
- getOptions() - Method in class weka.core.converters.HDFSSaver
-
- getOptions() - Method in class weka.distributed.hadoop.ArffHeaderHadoopJob
-
- getOptions() - Method in class weka.distributed.hadoop.CorrelationMatrixHadoopJob
-
- getOptions() - Method in class weka.distributed.hadoop.HadoopJob
-
- getOptions() - Method in class weka.distributed.hadoop.KMeansClustererHadoopJob
-
- getOptions() - Method in class weka.distributed.hadoop.RandomizedDataChunkHadoopJob
-
- getOptions() - Method in class weka.distributed.hadoop.WekaClassifierEvaluationHadoopJob
-
- getOptions() - Method in class weka.distributed.hadoop.WekaClassifierHadoopJob
-
- getOptions() - Method in class weka.distributed.hadoop.WekaScoringHadoopJob
-
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.AbstractHadoopJob
-
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.CorrelationMatrixHadoopJob
-
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.CSVToARFFHadoopJob
-
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.KMeansClustererHadoopJob
-
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.WekaClassifierEvaluationHadoopJob
-
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.WekaClassifierHadoopJob
-
- getOutputFormatClass() - Method in class distributed.hadoop.MapReduceJobConfig
-
Get the name of the output format class to use.
- getOutputHeaderFileName() - Method in class weka.distributed.hadoop.ArffHeaderHadoopJob
-
Get the name of the header file to create in the output directory.
- getOutputKeyClass() - Method in class distributed.hadoop.MapReduceJobConfig
-
Get the name of the (reducer) output key class to use
- getOutputPath() - Method in class distributed.hadoop.MapReduceJobConfig
-
Get the output path to use
- getOutputValueClass() - Method in class distributed.hadoop.MapReduceJobConfig
-
Get the name of the (reducer) output value class to use
- getPathToExistingHeader() - Method in class weka.distributed.hadoop.ArffHeaderHadoopJob
-
Get the path to an previously created header file to use.
- getPathToPreconstructedFilter() - Method in class weka.distributed.hadoop.WekaClassifierHadoopJob
-
Get the path to a pre-constructed filter to use to pre-process the data
entering each map.
- getPathToWekaJar() - Method in class weka.distributed.hadoop.HadoopJob
-
Get the path to the weka.jar file.
- getProperties() - Method in class weka.gui.HadoopPropertyPanel
-
Get the properties being edited
- getPropertyDescriptors() - Method in class distributed.hadoop.MapReduceJobConfigBeanInfo
-
Get an array of PropertyDescriptors for the InputMappedClassifier's public
properties.
- getPropertyDescriptors() - Method in class weka.distributed.hadoop.ArffHeaderHadoopJobBeanInfo
-
Get an array of PropertyDescriptors for the ArffHeaderHadoopJob's public
properties.
- getPropertyDescriptors() - Method in class weka.distributed.hadoop.CorrelationMatrixHadoopJobBeanInfo
-
Get an array of PropertyDescriptors for the ArffHeaderHadoopJob's public
properties.
- getPropertyDescriptors() - Method in class weka.distributed.hadoop.KMeansClustererHadoopJobBeanInfo
-
Get an array of PropertyDescriptors for the WekaClassifierHadoopJob's
public properties.
- getPropertyDescriptors() - Method in class weka.distributed.hadoop.RandomizedDataChunkHadoopJobBeanInfo
-
Get an array of PropertyDescriptors for the ArffHeaderHadoopJob's public
properties.
- getPropertyDescriptors() - Method in class weka.distributed.hadoop.WekaClassifierEvaluationHadoopJobBeanInfo
-
Get an array of PropertyDescriptors for the ArffHeaderHadoopJob's public
properties.
- getPropertyDescriptors() - Method in class weka.distributed.hadoop.WekaClassifierHadoopJobBeanInfo
-
Get an array of PropertyDescriptors for the WekaClassifierHadoopJob's
public properties.
- getPropertyDescriptors() - Method in class weka.distributed.hadoop.WekaScoringHadoopJobBeanInfo
-
Get an array of PropertyDescriptors for the ArffHeaderHadoopJob's public
properties.
- getRandomizedChunkOutputPath() - Method in class weka.distributed.hadoop.RandomizedDataChunkHadoopJob
-
Get the path to the output directory for this job
- getRandomizedJobOptions() - Method in class weka.distributed.hadoop.KMeansClustererHadoopJob
-
Get the options for the randomize/stratify task
- getRandomlyShuffleData() - Method in class weka.distributed.hadoop.KMeansClustererHadoopJob
-
Get whether to randomly shuffle the order of the instances in the input
data before clustering
- getRandomlyShuffleDataNumChunks() - Method in class weka.distributed.hadoop.KMeansClustererHadoopJob
-
Get the number of randomly shuffled data chunks to create.
- getRandomSeed() - Method in class weka.distributed.hadoop.KMeansClustererHadoopJob
-
Get the seed for random number generation
- getRandomSeed() - Method in class weka.distributed.hadoop.RandomizedDataChunkHadoopJob
-
Get the random seed for shuffling the data
- getReduceNumber(String) - Static method in class weka.distributed.hadoop.HadoopJob
-
Get the number of the reduce attempt from the supplied task ID string
- getReducerClass() - Method in class distributed.hadoop.MapReduceJobConfig
-
Get the name of the reducer class to use.
- getRevision() - Method in class weka.core.converters.HDFSLoader
-
- getRevision() - Method in class weka.core.converters.HDFSSaver
-
- getRowCount() - Method in class weka.gui.beans.InteractiveTableModel
-
- getRunPCA() - Method in class weka.distributed.hadoop.CorrelationMatrixHadoopJob
-
Get whether to run a PCA analysis (using the generated correlation matrix
as inpu) as a post-processing step
- getSampleFractionForAUC() - Method in class weka.distributed.hadoop.WekaClassifierEvaluationHadoopJob
-
Get the percentage of predictions to retain (via uniform random sampling)
for computing AUC and AUPRC.
- getSaver() - Method in class weka.core.converters.HDFSSaver
-
Get the base saver to use
- getSeparateTestSetPath() - Method in class weka.distributed.hadoop.WekaClassifierEvaluationHadoopJob
-
Get the path in HDFS to the separate test set to use.
- getStartMessage() - Method in class weka.gui.beans.AbstractHadoopJob
-
- getStructure() - Method in class weka.core.converters.HDFSLoader
-
- getSummaryCharts() - Method in class weka.distributed.hadoop.ArffHeaderHadoopJob
-
Get the summary charts (if any)
- getTable() - Method in class weka.gui.beans.InteractiveTablePanel
-
Get the JTable component
- getTaskTrackerMapTasksMaximum() - Method in class distributed.hadoop.MapReduceJobConfig
-
Get the maximum number of map tasks to run concurrently by a task tracker
(node).
- getText() - Method in class weka.distributed.hadoop.ArffHeaderHadoopJob
-
- getText() - Method in class weka.distributed.hadoop.CorrelationMatrixHadoopJob
-
- getText() - Method in class weka.distributed.hadoop.KMeansClustererHadoopJob
-
- getText() - Method in class weka.distributed.hadoop.WekaClassifierEvaluationHadoopJob
-
- getTrainingHeader() - Method in class weka.distributed.hadoop.KMeansClustererHadoopJob
-
- getTrainingHeader() - Method in class weka.distributed.hadoop.WekaClassifierHadoopJob
-
- getUnderlyingJob() - Method in class weka.knowledgeflow.steps.AbstractHadoopJob
-
Returns the underlying HadoopJob object
- getValueAt(int, int) - Method in class weka.gui.beans.InteractiveTableModel
-
- getVisual() - Method in class weka.gui.beans.AbstractHadoopJob
-
- globalInfo() - Method in class weka.core.converters.HDFSLoader
-
Help information for the HDFSLoader
- globalInfo() - Method in class weka.core.converters.HDFSSaver
-
Help information for the HDFSSaver
- globalInfo() - Method in class weka.distributed.hadoop.ArffHeaderHadoopJob
-
Returns textual help information for this job
- globalInfo() - Method in class weka.distributed.hadoop.CorrelationMatrixHadoopJob
-
Textual help info for this job
- globalInfo() - Method in class weka.distributed.hadoop.KMeansClustererHadoopJob
-
Help information
- globalInfo() - Method in class weka.distributed.hadoop.RandomizedDataChunkHadoopJob
-
Help information
- globalInfo() - Method in class weka.distributed.hadoop.WekaClassifierEvaluationHadoopJob
-
Help info for this job
- globalInfo() - Method in class weka.distributed.hadoop.WekaClassifierHadoopJob
-
Help information
- globalInfo() - Method in class weka.distributed.hadoop.WekaScoringHadoopJob
-
Help information for this job
- globalInfo() - Method in class weka.gui.beans.CorrelationMatrixHadoopJob
-
Help for this KF step
- globalInfo() - Method in class weka.gui.beans.CSVToARFFHadoopJob
-
Help info for this KF step
- globalInfo() - Method in class weka.gui.beans.KMeansClustererHadoopJob
-
Help information
- globalInfo() - Method in class weka.gui.beans.RandomizedDataChunkHadoopJob
-
- globalInfo() - Method in class weka.gui.beans.WekaClassifierEvaluationHadoopJob
-
Help information
- globalInfo() - Method in class weka.gui.beans.WekaClassifierHadoopJob
-
Help information
- globalInfo() - Method in class weka.gui.beans.WekaScoringHadoopJob
-
Help information
- HADOOP2_MAPRED_MAX_SPLIT_SIZE - Static variable in class distributed.hadoop.MapReduceJobConfig
-
Internal key for the Haddop 2 property for the maximum block size
- HADOOP2_TASKTRACKER_REDUCE_TASKS_MAXIMUM - Static variable in class distributed.hadoop.MapReduceJobConfig
-
Internal key for the Hadoop 2 property for the maximum number of number of
reducers to run per node
- HADOOP_FS_DEFAULT_NAME - Static variable in class distributed.hadoop.HDFSConfig
-
property in core-site.xml that specifies the host running the namenode
- HADOOP_JOB_TRACKER_HOST - Static variable in class distributed.hadoop.MapReduceJobConfig
-
Internal key for the Hadoop property for the job tracker host
- HADOOP_MAPRED_MAX_SPLIT_SIZE - Static variable in class distributed.hadoop.MapReduceJobConfig
-
Internal key for the Hadoop 1 property for the maximum block size
- HADOOP_TASKTRACKER_REDUCE_TASKS_MAXIMUM - Static variable in class distributed.hadoop.MapReduceJobConfig
-
Internal key for the Hadoop 1 property for the maximum number of number of
reducers to run per node
- HadoopJob - Class in weka.distributed.hadoop
-
Abstract base class for Hadoop jobs.
- HadoopJob(String, String) - Constructor for class weka.distributed.hadoop.HadoopJob
-
Constructor for a HadoopJob
- HadoopJobBeanInfo - Class in weka.distributed.hadoop
-
BeanInfo class for the abstract HadoopJob
- HadoopJobBeanInfo() - Constructor for class weka.distributed.hadoop.HadoopJobBeanInfo
-
- HadoopJobCustomizer - Class in weka.gui.beans
-
Customizer for the Hadoop job KF steps
- HadoopJobCustomizer() - Constructor for class weka.gui.beans.HadoopJobCustomizer
-
The constructor
- HadoopJobStepEditorDialog - Class in weka.gui.knowledgeflow.steps
-
Step editor dialog for the Hadoop Knowledge Flow steps
- HadoopJobStepEditorDialog() - Constructor for class weka.gui.knowledgeflow.steps.HadoopJobStepEditorDialog
-
- HadoopPropertyPanel - Class in weka.gui
-
Panel for editing user-defined properties to set on the Hadoop
Configuration object
- HadoopPropertyPanel(Map<String, String>) - Constructor for class weka.gui.HadoopPropertyPanel
-
Constructor
- hasEmptyRow() - Method in class weka.gui.beans.InteractiveTableModel
-
Returns true if the model has an empty row
- HDFS_HOST - Static variable in class distributed.hadoop.HDFSConfig
-
Key for the HDFS host (name node)
- HDFS_PORT - Static variable in class distributed.hadoop.HDFSConfig
-
Key for the HDFS port
- HDFSConfig - Class in distributed.hadoop
-
Config for HDFS filesystem related properties
- HDFSConfig() - Constructor for class distributed.hadoop.HDFSConfig
-
Constructor - sets defaults
- HDFSHostTipText() - Method in class distributed.hadoop.HDFSConfig
-
Get the tool tip text for this property
- HDFSHostTipText() - Method in class distributed.hadoop.MapReduceJobConfig
-
Get the tool tip text for this property
- HDFSLoader - Class in weka.core.converters
-
Loader for data stored in HDFS.
- HDFSLoader() - Constructor for class weka.core.converters.HDFSLoader
-
Constructor
- HDFSLoaderBeanInfo - Class in weka.core.converters
-
BeanInfo class for the HDFSLoader
- HDFSLoaderBeanInfo() - Constructor for class weka.core.converters.HDFSLoaderBeanInfo
-
- HDFSLoaderCustomizer - Class in weka.gui.converters
-
Customizer GUI for the HDFSLoader Knowledge Flow component
- HDFSLoaderCustomizer() - Constructor for class weka.gui.converters.HDFSLoaderCustomizer
-
Constructor
- HDFSPathTipText() - Method in class weka.core.converters.HDFSLoader
-
Tip text for this property
- HDFSPathTipText() - Method in class weka.core.converters.HDFSSaver
-
The tip text for this property
- HDFSPortTipText() - Method in class distributed.hadoop.HDFSConfig
-
Get the tool tip text for this property
- HDFSPortTipText() - Method in class distributed.hadoop.MapReduceJobConfig
-
Get the tool tip text for this property
- HDFSSaver - Class in weka.core.converters
-
Saver for writing to HDFS.
- HDFSSaver() - Constructor for class weka.core.converters.HDFSSaver
-
Constructor
- HDFSSaverBeanInfo - Class in weka.core.converters
-
BeanInfo class for the HDFSSaver
- HDFSSaverBeanInfo() - Constructor for class weka.core.converters.HDFSSaverBeanInfo
-
- HDFSSaverCustomizer - Class in weka.gui.converters
-
Customizer GUI for the HDFSSaver Knowledge Flow component
- HDFSSaverCustomizer() - Constructor for class weka.gui.converters.HDFSSaverCustomizer
-
- HDFSUtils - Class in distributed.hadoop
-
Bunch of utility routines for HDFS.
- HDFSUtils() - Constructor for class distributed.hadoop.HDFSUtils
-
- highlightLastRow(int) - Method in class weka.gui.beans.InteractiveTablePanel
-
Highlight the last row in the table
- sampleFractionForAUCTipText() - Method in class weka.distributed.hadoop.WekaClassifierEvaluationHadoopJob
-
Tip text for this property
- saverTipText() - Method in class weka.core.converters.HDFSSaver
-
The tip text for this property
- SCORING_MAP_TASK_OPTIONS - Static variable in class weka.distributed.hadoop.WekaScoringHadoopMapper
-
The key in the Configuration that the options for this task are associated
with
- separateTestSetPathTipText() - Method in class weka.distributed.hadoop.WekaClassifierEvaluationHadoopJob
-
Tip text for this property
- serializeObjectToDistributedCache(Object, HDFSConfig, Configuration, String, Environment) - Static method in class distributed.hadoop.HDFSUtils
-
Serializes the given object into a file in the staging area in HDFS and
then adds that file to the distributed cache for the configuration
- setAdditionalWekaPackages(String) - Method in class weka.distributed.hadoop.HadoopJob
-
Set a comma separated list of the names of additional weka packages to use
with the job.
- setAttributeNames(String) - Method in class weka.distributed.hadoop.ArffHeaderHadoopJob
-
Set a comma-separated list of attribute names to use when generating the
ARFF header.
- setAttributeNamesFile(String) - Method in class weka.distributed.hadoop.ArffHeaderHadoopJob
-
Set the path to an file containing attribute names to use.
- setClassAttribute(String) - Method in class weka.distributed.hadoop.CorrelationMatrixHadoopJob
-
Set the name or index of the class attribute.
- setClassAttribute(String) - Method in class weka.distributed.hadoop.RandomizedDataChunkHadoopJob
-
Set the name or index of the class attribute ("first" and "last" can also
be used)
- setClassAttribute(String) - Method in class weka.distributed.hadoop.WekaClassifierHadoopJob
-
Set the name or index of the class attribute ("first" and "last" can also
be used)
- setClassifierMapTaskOptions(String) - Method in class weka.distributed.hadoop.WekaClassifierHadoopJob
-
Set the options for the underlying map task
- setClassIndex(String, Instances, boolean) - Static method in class weka.distributed.hadoop.WekaClassifierHadoopMapper
-
Helper method for setting the class index in the supplied Instances object
- setClassIndex(String[], Instances, boolean) - Static method in class weka.distributed.hadoop.WekaClassifierHadoopMapper
-
Helper method to set the class index in a supplied Instances object
- setCleanOutputDirectory(boolean) - Method in class weka.distributed.hadoop.RandomizedDataChunkHadoopJob
-
Set whether to blow away the output directory before running.
- setColumnsToOutputInScoredData(String) - Method in class weka.distributed.hadoop.WekaScoringHadoopJob
-
Set the columns to output (as a comma-separated list of indexes) in the
scored data.
- setCombinerClass(String) - Method in class distributed.hadoop.MapReduceJobConfig
-
Set the name of the reducer class (if any) to use.
- setConvergenceTolerance(double) - Method in class weka.distributed.hadoop.KMeansClustererHadoopJob
-
Set the convergence tolerance
- setCorrelationMapTaskOptions(String) - Method in class weka.distributed.hadoop.CorrelationMatrixHadoopJob
-
Set options for the correlation map tasks
- setCreateRandomizedDataChunks(boolean) - Method in class weka.distributed.hadoop.WekaClassifierHadoopJob
-
Set whether to create randomly shuffled (and stratified if the class is
nominal) data chunks via a pre-processing pass/job.
- setCSVMapTaskOptions(String) - Method in class weka.distributed.hadoop.CorrelationMatrixHadoopJob
-
Set the options for the csv map tasks
- setCSVMapTaskOptions(String) - Method in class weka.distributed.hadoop.KMeansClustererHadoopJob
-
Set the options to the header job
- setCSVMapTaskOptions(String) - Method in class weka.distributed.hadoop.RandomizedDataChunkHadoopJob
-
Set the options to the header job
- setCSVMapTaskOptions(String) - Method in class weka.distributed.hadoop.WekaClassifierHadoopJob
-
Set the options to the header job
- setCSVMapTaskOptions(String) - Method in class weka.distributed.hadoop.WekaScoringHadoopJob
-
Set the options for the ARFF header job
- setCsvToArffTaskOptions(String) - Method in class weka.distributed.hadoop.ArffHeaderHadoopJob
-
Set the options to pass on to the underlying csv to arff task
- setCustomName(String) - Method in class weka.gui.beans.AbstractHadoopJob
-
- setDebug(boolean) - Method in class weka.distributed.hadoop.HadoopJob
-
Set whether to output debug info.
- setDFSReplicationFactor(String) - Method in class weka.core.converters.HDFSSaver
-
Set the dfs replication factor to use
- setDirAndPrefix(String, String) - Method in class weka.core.converters.HDFSSaver
-
- setDisplayCentroidStdDevs(boolean) - Method in class weka.distributed.hadoop.KMeansClustererHadoopJob
-
Set whether to display the standard deviations of centroids in textual
output of the model
- setDontDefaultToLastAttIfClassNotSpecified(boolean) - Method in class weka.distributed.hadoop.RandomizedDataChunkHadoopJob
-
Non-command line option to allow clients to turn off the default behavior
of defaulting to setting the last attribute as the class if not explicitly
specified.
- setEnvironment(Environment) - Method in class weka.core.converters.HDFSLoader
-
- setEnvironment(Environment) - Method in class weka.core.converters.HDFSSaver
-
- setEnvironment(Environment) - Method in class weka.gui.beans.AbstractHadoopJob
-
- setEnvironment(Environment) - Method in class weka.gui.beans.HadoopJobCustomizer
-
- setEnvironment(Environment) - Method in class weka.gui.converters.HDFSLoaderCustomizer
-
- setEnvironment(Environment) - Method in class weka.gui.converters.HDFSSaverCustomizer
-
- setFilePrefix(String) - Method in class weka.core.converters.HDFSSaver
-
- setGenerateCharts(boolean) - Method in class weka.distributed.hadoop.ArffHeaderHadoopJob
-
Set whether to generate summary charts as png files in the output directory
(histograms, pie charts, box plots).
- setHDFSConfig(HDFSConfig) - Method in class distributed.hadoop.MapReduceJobConfig
-
Set the HDFSConfig to use
- setHDFSHost(String) - Method in class distributed.hadoop.HDFSConfig
-
Set the HDFS (name node) host to use
- setHDFSHost(String) - Method in class distributed.hadoop.MapReduceJobConfig
-
Set the HDFSHost (name node)
- setHDFSPath(String) - Method in class weka.core.converters.HDFSLoader
-
Set the path to load from in HDFS
- setHDFSPath(String) - Method in class weka.core.converters.HDFSSaver
-
Set the path to save to in HDFS
- setHDFSPort(String) - Method in class distributed.hadoop.HDFSConfig
-
Set the HDFS (name node) port
- setHDFSPort(String) - Method in class distributed.hadoop.MapReduceJobConfig
-
Set the HDFS port
- setInitWithRandomCentroids(boolean) - Method in class weka.distributed.hadoop.KMeansClustererHadoopJob
-
Set whether to initialize with randomly selected centroids rather than
using the k-means|| initialization procedure.
- setInputFormatClass(String) - Method in class distributed.hadoop.MapReduceJobConfig
-
Set the name of the input format class to use.
- setInputPaths(String) - Method in class distributed.hadoop.MapReduceJobConfig
-
Set the input path(s) to use
- setJobOptions(String) - Method in class weka.gui.beans.AbstractHadoopJob
-
Set the options for the underlying job
- setJobOptions(String) - Method in class weka.knowledgeflow.steps.AbstractHadoopJob
-
Set the options for the underlying job
- setJobTrackerHost(String) - Method in class distributed.hadoop.AbstractHadoopJobConfig
-
Set the job tracker host name to use
- setJobTrackerPort(String) - Method in class distributed.hadoop.AbstractHadoopJobConfig
-
Set the port that the job tracker is running on
- setKMeansParallelInitSteps(String) - Method in class weka.distributed.hadoop.KMeansClustererHadoopJob
-
Set the number of iterations of the k-means|| initialization routine to
perform
- setLoader(AbstractFileLoader) - Method in class weka.core.converters.HDFSLoader
-
Set the base loader to use
- setLog(Logger) - Method in class weka.gui.beans.AbstractHadoopJob
-
- setLoggingInterval(String) - Method in class weka.distributed.hadoop.HadoopJob
-
Set the interval between output of logging information from running jobs.
- setMapOutputKeyClass(String) - Method in class distributed.hadoop.MapReduceJobConfig
-
Set the name of the map output key class to use.
- setMapOutputValueClass(String) - Method in class distributed.hadoop.MapReduceJobConfig
-
Set the name of the map output value class to use.
- setMapperClass(String) - Method in class distributed.hadoop.MapReduceJobConfig
-
Set the mapper class name to use.
- setMapredMaxSplitSize(String) - Method in class distributed.hadoop.MapReduceJobConfig
-
Set the maximum split size (in bytes).
- setMapReduceJobConfig(MapReduceJobConfig) - Method in class weka.distributed.hadoop.HadoopJob
-
Set the main configuration to use with this job
- setMinTrainingFraction(String) - Method in class weka.distributed.hadoop.WekaClassifierHadoopJob
-
Set the minimum training fraction.
- setModelFileName(String) - Method in class weka.distributed.hadoop.KMeansClustererHadoopJob
-
Set the name only for the model file
- setModelFileName(String) - Method in class weka.distributed.hadoop.WekaClassifierHadoopJob
-
Set the name only for the model file
- setModelPath(String) - Method in class weka.distributed.hadoop.WekaScoringHadoopJob
-
Set the path (HDFS or local) to the model to use for scoring.
- setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.HadoopJobCustomizer
-
- setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.converters.HDFSLoaderCustomizer
-
- setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.converters.HDFSSaverCustomizer
-
- setNumberOfMaps(String) - Method in class distributed.hadoop.MapReduceJobConfig
-
Set the number of maps to use.
- setNumberOfReducers(String) - Method in class distributed.hadoop.MapReduceJobConfig
-
Set the number of reducers to use.
- setNumClusters(String) - Method in class weka.distributed.hadoop.KMeansClustererHadoopJob
-
Set the number of clusters to find
- setNumInstancesPerRandomizedDataChunk(String) - Method in class weka.distributed.hadoop.RandomizedDataChunkHadoopJob
-
Set the number of instances that each randomly shuffled data chunk should
have.
- setNumInstancesPerRandomizedDataChunk(String) - Method in class weka.distributed.hadoop.WekaClassifierHadoopJob
-
Set the number of instances that each randomly shuffled data chunk should
have.
- setNumIterations(String) - Method in class weka.distributed.hadoop.KMeansClustererHadoopJob
-
Set the maximum number of k-means iterations to perform
- setNumIterations(int) - Method in class weka.distributed.hadoop.WekaClassifierHadoopJob
-
Set the number of iterations (passes over the data) to run in the model
building phase.
- setNumNodesInCluster(String) - Method in class weka.distributed.hadoop.CorrelationMatrixHadoopJob
-
Set the number of nodes in the Hadoop cluster
- setNumNodesInCluster(String) - Method in class weka.distributed.hadoop.KMeansClustererHadoopJob
-
Set the number of nodes in the Hadoop cluster
- setNumNodesInCluster(int) - Method in class weka.distributed.hadoop.WekaClassifierEvaluationHadoopJob
-
Set the number of nodes in the user's Hadoop cluster.
- setNumRandomizedDataChunks(String) - Method in class weka.distributed.hadoop.RandomizedDataChunkHadoopJob
-
Set the number of randomly shuffled data chunks to create.
- setNumRandomizedDataChunks(String) - Method in class weka.distributed.hadoop.WekaClassifierHadoopJob
-
Set the number of randomly shuffled data chunks to create.
- setNumRuns(String) - Method in class weka.distributed.hadoop.KMeansClustererHadoopJob
-
Set the number of k-means runs to perform in parallel
- setObject(Object) - Method in class weka.gui.beans.HadoopJobCustomizer
-
- setObject(Object) - Method in class weka.gui.converters.HDFSLoaderCustomizer
-
- setObject(Object) - Method in class weka.gui.converters.HDFSSaverCustomizer
-
- setOptions(String[]) - Method in class distributed.hadoop.HDFSConfig
-
- setOptions(String[]) - Method in class distributed.hadoop.MapReduceJobConfig
-
- setOptions(String[]) - Method in class weka.core.converters.HDFSLoader
-
- setOptions(String[]) - Method in class weka.core.converters.HDFSSaver
-
- setOptions(String[]) - Method in class weka.distributed.hadoop.ArffHeaderHadoopJob
-
- setOptions(String[]) - Method in class weka.distributed.hadoop.CorrelationMatrixHadoopJob
-
- setOptions(String[]) - Method in class weka.distributed.hadoop.HadoopJob
-
- setOptions(String[]) - Method in class weka.distributed.hadoop.KMeansClustererHadoopJob
-
- setOptions(String[]) - Method in class weka.distributed.hadoop.RandomizedDataChunkHadoopJob
-
- setOptions(String[]) - Method in class weka.distributed.hadoop.WekaClassifierEvaluationHadoopJob
-
- setOptions(String[]) - Method in class weka.distributed.hadoop.WekaClassifierHadoopJob
-
- setOptions(String[]) - Method in class weka.distributed.hadoop.WekaScoringHadoopJob
-
- setOutputFormatClass(String) - Method in class distributed.hadoop.MapReduceJobConfig
-
Set the name of the output format class to use.
- setOutputHeaderFileName(String) - Method in class weka.distributed.hadoop.ArffHeaderHadoopJob
-
Set the name of the header file to create in the output directory.
- setOutputKeyClass(String) - Method in class distributed.hadoop.MapReduceJobConfig
-
Set the name of the (reducer) output key class to use
- setOutputPath(String) - Method in class distributed.hadoop.MapReduceJobConfig
-
Set the output path to use
- setOutputValueClass(String) - Method in class distributed.hadoop.MapReduceJobConfig
-
Set the name of the (reducer) output value class to use
- setParentWindow(Window) - Method in class weka.gui.beans.HadoopJobCustomizer
-
- setPathToExistingHeader(String) - Method in class weka.distributed.hadoop.ArffHeaderHadoopJob
-
Set the path to an previously created header file to use.
- setPathToPreconstructedFilter(String) - Method in class weka.distributed.hadoop.WekaClassifierHadoopJob
-
Set the path to a pre-constructed filter to use to pre-process the data
entering each map.
- setPathToWekaJar(String) - Method in class weka.distributed.hadoop.HadoopJob
-
Set the path to the weka.jar file.
- setRandomizeJobOptions(String) - Method in class weka.distributed.hadoop.KMeansClustererHadoopJob
-
Set the options for the randomize/stratify task
- setRandomlyShuffleData(boolean) - Method in class weka.distributed.hadoop.KMeansClustererHadoopJob
-
Set whether to randomly shuffle the order of the instances in the input
data before clustering
- setRandomlyShuffleDataNumChunks(String) - Method in class weka.distributed.hadoop.KMeansClustererHadoopJob
-
Set the number of randomly shuffled data chunks to create.
- setRandomSeed(String) - Method in class weka.distributed.hadoop.KMeansClustererHadoopJob
-
Set the seed for random number generation
- setRandomSeed(String) - Method in class weka.distributed.hadoop.RandomizedDataChunkHadoopJob
-
Set the random seed for shuffling the data
- setReducerClass(String) - Method in class distributed.hadoop.MapReduceJobConfig
-
Set the name of the reducer class to use.
- setRunPCA(boolean) - Method in class weka.distributed.hadoop.CorrelationMatrixHadoopJob
-
Set whether to run a PCA analysis (using the generated correlation matrix
as inpu) as a post-processing step
- setSampleFractionForAUC(String) - Method in class weka.distributed.hadoop.WekaClassifierEvaluationHadoopJob
-
Set the percentage of predictions to retain (via uniform random sampling)
for computing AUC and AUPRC.
- setSaver(AbstractFileSaver) - Method in class weka.core.converters.HDFSSaver
-
Set the base saver to use
- setSeparateTestSetPath(String) - Method in class weka.distributed.hadoop.WekaClassifierEvaluationHadoopJob
-
Set the path in HDFS to the separate test set to use.
- setTaskTrackerMapTasksMaximum(String) - Method in class distributed.hadoop.MapReduceJobConfig
-
Set the maximum number of map tasks to run concurrently by a task tracker
(node).
- setup(Mapper<LongWritable, Text, Text, BytesWritable>.Context) - Method in class weka.distributed.hadoop.CorrelationMatrixHadoopMapper
-
- setup(Reducer<Text, BytesWritable, Text, Text>.Context) - Method in class weka.distributed.hadoop.CorrelationMatrixRowHadoopReducer
-
- setup(Mapper<LongWritable, Text, Text, BytesWritable>.Context) - Method in class weka.distributed.hadoop.CSVToArffHeaderHadoopMapper
-
- setup(Reducer<Text, BytesWritable, Text, Text>.Context) - Method in class weka.distributed.hadoop.CSVToArffHeaderHadoopReducer
-
- setup(Mapper<LongWritable, Text, Text, BytesWritable>.Context) - Method in class weka.distributed.hadoop.KMeansCentroidSketchHadoopMapper
-
- setup(Reducer<Text, BytesWritable, Text, Text>.Context) - Method in class weka.distributed.hadoop.KMeansCentroidSketchHadoopReducer
-
- setup(Mapper<LongWritable, Text, Text, BytesWritable>.Context) - Method in class weka.distributed.hadoop.KMeansHadoopMapper
-
- setup(Reducer<Text, BytesWritable, Text, Text>.Context) - Method in class weka.distributed.hadoop.KMeansHadoopReducer
-
- setup(Mapper<LongWritable, Text, Text, Text>.Context) - Method in class weka.distributed.hadoop.RandomizedDataChunkHadoopMapper
-
- setup(Reducer<Text, Text, Text, Text>.Context) - Method in class weka.distributed.hadoop.RandomizedDataChunkHadoopReducer
-
- setup(Reducer<Text, BytesWritable, Text, Text>.Context) - Method in class weka.distributed.hadoop.WekaClassifierEvaluationHadoopReducer
-
- setup(Mapper<LongWritable, Text, Text, BytesWritable>.Context) - Method in class weka.distributed.hadoop.WekaClassifierHadoopMapper
-
- setup(Reducer<Text, BytesWritable, Text, Text>.Context) - Method in class weka.distributed.hadoop.WekaClassifierHadoopReducer
-
- setup(Mapper<LongWritable, Text, Text, BytesWritable>.Context) - Method in class weka.distributed.hadoop.WekaFoldBasedClassifierEvaluationHadoopMapper
-
- setup(Mapper<LongWritable, Text, Text, BytesWritable>.Context) - Method in class weka.distributed.hadoop.WekaFoldBasedClassifierHadoopMapper
-
- setup(Mapper<LongWritable, Text, LongWritable, Text>.Context) - Method in class weka.distributed.hadoop.WekaScoringHadoopMapper
-
- setValueAt(Object, int, int) - Method in class weka.gui.beans.InteractiveTableModel
-
- setVisual(BeanVisual) - Method in class weka.gui.beans.AbstractHadoopJob
-
- SKETCH_FILE_PREFIX - Static variable in class weka.distributed.hadoop.KMeansCentroidSketchHadoopMapper
-
File prefix for serialized sketch files
- SKETCH_WRITE_PATH - Static variable in class weka.distributed.hadoop.KMeansCentroidSketchHadoopReducer
-
The key in the configuration that the write path for centroid sketches is
associated with
- start() - Method in class weka.gui.beans.AbstractHadoopJob
-
- start() - Method in class weka.knowledgeflow.steps.AbstractHadoopJob
-
- stepInit() - Method in class weka.knowledgeflow.steps.AbstractHadoopJob
-
- stop() - Method in class weka.gui.beans.AbstractHadoopJob
-
- stop() - Method in class weka.knowledgeflow.steps.AbstractHadoopJob
-
- stopJob() - Method in class weka.distributed.hadoop.KMeansClustererHadoopJob
-
- stopJob() - Method in class weka.distributed.hadoop.WekaClassifierHadoopJob
-
- SUPPRESS_CLASSIFIER_TEXT_OUT - Static variable in class weka.distributed.hadoop.WekaClassifierHadoopReducer
-
The in the configuration to check for in order to prevent textual output of
the aggregated model