Package ai.libs.jaicore.ml.cache

Class ReproducibleInstances

  • All Implemented Interfaces:
    java.io.Serializable, java.lang.Iterable<weka.core.Instance>, java.util.Collection<weka.core.Instance>, java.util.List<weka.core.Instance>, weka.core.RevisionHandler
    public class ReproducibleInstances
extends weka.core.Instances
    New Instances class to track splits and data origin. Origin of the dataset is stored by a LoadDataSetInstruction and changed by FoldBasedSubsetInstructions saved as a list of instructions. This history of the instances can be converted to json and used to reproduce a specific set of instances.
    See Also:
    Serialized Form

    • Field Summary

      • Fields inherited from class weka.core.Instances

        ARFF_DATA, ARFF_RELATION, FILE_EXTENSION, m_Attributes, m_ClassIndex, m_Instances, m_Lines, m_NamesToAttributeIndices, m_RelationName, SERIALIZED_OBJ_FILE_EXTENSION

      • Fields inherited from class java.util.AbstractList

        modCount

    • Method Summary

      All Methods Static Methods Instance Methods Concrete Methods 
      Modifier and Type Method Description
      static ReproducibleInstances fromARFF​(java.io.File arffFile)  
      static ReproducibleInstances fromHistory​(InstructionGraph history, ai.libs.jaicore.basic.sets.Pair<java.lang.String,​java.lang.Integer> outputUnitOfHistory)
      Creates a new ReproducibleInstances object.
      static ReproducibleInstances fromOpenML​(int id, java.lang.String apiKey)
      Creates a new ReproducibleInstances object.
      InstructionGraph getInstructions()  
      ai.libs.jaicore.basic.sets.Pair<java.lang.String,​java.lang.Integer> getOutputUnit()  
      boolean isCacheLookup()
      If true signifies that performance on this data should be looked up in cache
      boolean isCacheStorage()
      If true signifies that performance evaluation should be stored.
      ReproducibleInstances reduceWithInstruction​(java.lang.String nameOfRefinementInstruction, Instruction instruction, int outputOfRefinementInstruction)
      Creates a reduced version of the dataset by using an instruction with one input and one output
      void setCacheLookup​(boolean cacheLookup)
      If true signifies that performance on this data should be looked up in cache
      void setCacheStorage​(boolean cacheStorage)
      If set to true, signifies that performance evaluation should be stored.
      void setOutputUnitWithoutRecomputation​(ai.libs.jaicore.basic.sets.Pair<java.lang.String,​java.lang.Integer> outputUnit)  

      • Methods inherited from class weka.core.Instances

        add, add, allAttributeWeightsIdentical, allInstanceWeightsIdentical, attribute, attribute, attributeStats, attributeToDoubleArray, checkForAttributeType, checkForStringAttributes, checkInstance, classAttribute, classIndex, compactify, copyInstances, delete, delete, deleteAttributeAt, deleteAttributeType, deleteStringAttributes, deleteWithMissing, deleteWithMissing, deleteWithMissingClass, enumerateAttributes, enumerateInstances, equalHeaders, equalHeadersMsg, firstInstance, get, getRandomNumberGenerator, getRevision, initialize, insertAttributeAt, instance, instancesAndWeights, kthSmallestValue, kthSmallestValue, lastInstance, main, meanOrMode, meanOrMode, mergeInstances, numAttributes, numClasses, numDistinctValues, numDistinctValues, numInstances, randomize, readInstance, relationName, remove, renameAttribute, renameAttribute, renameAttributeValue, renameAttributeValue, replaceAttributeAt, resample, resampleWithWeights, resampleWithWeights, resampleWithWeights, resampleWithWeights, resampleWithWeights, resampleWithWeights, resampleWithWeights, set, setAttributeWeight, setAttributeWeight, setClass, setClassIndex, setRelationName, size, sort, sort, sortBasedOnNominalAttribute, stableSort, stableSort, stratify, stratStep, stringFreeStructure, stringWithoutHeader, sumOfWeights, swap, test, testCV, toString, toSummaryString, trainCV, trainCV, variance, variance, variances

      • Methods inherited from class java.util.AbstractList

        addAll, clear, equals, hashCode, indexOf, iterator, lastIndexOf, listIterator, listIterator, removeRange, subList

      • Methods inherited from class java.util.AbstractCollection

        addAll, contains, containsAll, isEmpty, remove, removeAll, retainAll, toArray, toArray

      • Methods inherited from class java.lang.Object

        clone, finalize, getClass, notify, notifyAll, wait, wait, wait

      • Methods inherited from interface java.util.Collection

        parallelStream, removeIf, stream, toArray

      • Methods inherited from interface java.lang.Iterable

        forEach

      • Methods inherited from interface java.util.List

        addAll, contains, containsAll, isEmpty, remove, removeAll, replaceAll, retainAll, sort, spliterator, toArray, toArray

    • Method Detail

      • getInstructions

        public InstructionGraph getInstructions()
        Returns:
        the ordered lists of instructions or null if cache is not used

      • getOutputUnit

        public ai.libs.jaicore.basic.sets.Pair<java.lang.String,​java.lang.Integer> getOutputUnit()

      • setOutputUnitWithoutRecomputation

        public void setOutputUnitWithoutRecomputation​(ai.libs.jaicore.basic.sets.Pair<java.lang.String,​java.lang.Integer> outputUnit)

      • isCacheStorage

        public boolean isCacheStorage()
        If true signifies that performance evaluation should be stored.
        Returns:
        true if performance should be saved

      • setCacheStorage

        public void setCacheStorage​(boolean cacheStorage)
        If set to true, signifies that performance evaluation should be stored.
        Parameters:
        cacheStorage - the cacheStorage to set

      • isCacheLookup

        public boolean isCacheLookup()
        If true signifies that performance on this data should be looked up in cache
        Returns:
        true if lookup should be performed

      • setCacheLookup

        public void setCacheLookup​(boolean cacheLookup)
        If true signifies that performance on this data should be looked up in cache
        Parameters:
        cacheLookup - the cacheLookup to set

      • reduceWithInstruction

        public ReproducibleInstances reduceWithInstruction​(java.lang.String nameOfRefinementInstruction,
                                                   Instruction instruction,
                                                   int outputOfRefinementInstruction)
                                            throws java.lang.ClassNotFoundException,
                                                   InstructionFailedException,
                                                   java.lang.InterruptedException
        Creates a reduced version of the dataset by using an instruction with one input and one output
        Parameters:
        nameOfRefinementInstruction -
        instruction -
        outputOfRefinementInstruction -
        Returns:
        Throws:
        java.lang.InterruptedException
        InstructionFailedException
        java.lang.ClassNotFoundException