Package edu.udo.cs.yale.example

The example handling classes of YALE.

See:
Description

Interface Summary

Attribute	This class holds all information on a single attribute.
Condition	Objects implementing this interface are used by ConditionExampleReaders, a special sub class of ExampleReader that skips all examples that do not fulfill this condition.
DataRow	This interface defines methods for all entries of ExampleTable implementations.
DataRowReader	Reads a sequence of DataRows, e.g. from memory, a file or a database.
ExampleFormatter.FormatCommand	Represents one piece of formatting.
ExampleReader	An ExampleReader iterates over a sequence of examples.
ExampleSet	Interface definition for all example sets.
ExampleTable	This class is the core data supplier for example sets.
PartitionBuilder	Creates partitions from ratio arrays.
SimpleArrayData	The data is hold as string array.
SparseDataRow	This interface defines methods for sparse data rows which might be implemented to allow more efficient querying of the non-default values.
WeightApplier	WeightAppliers calculate the actual value of an attribute for a given example.

Class Summary

AbstractAttribute	This class holds all information on a single attribute.
AbstractDataRowReader	Reads a sequence of DataRows, e.g. from memory, a file or a database.
AbstractExampleReader	Abstract implementation which implements the method remove by throwing a UnsupportedOperationException.
AbstractExampleSet	Implements wrapper methods of abstract example set.
AbstractExampleTable	This class is the core data supplier for example sets.
AcceptAllCondition	This subclass of Condition serves to accept all examples.
AttributeFactory	This class is used to create and clone attributes.
AttributeParser	Parses a file containing construction descriptions and adds the new attributes to the example set.
AttributeStatistics	The superclass for all attribute statistics objects.
AttributeValueFilter	The condition is fulfilled if an attribute as a value equal to, not equal to, less than, ... a given value.
AttributeWeight	Helper class containing the name of an attribute and the corresponding weight.
AttributeWeightedExampleSet	An implementation of ExampleSet that allows the weighting of the attributes.
AttributeWeights	AttributeWeights holds the information about the weights of attributes of an example set.
BinaryAttribute	This class holds all information on a single binary attribute.
BooleanArrayDataRow	Implementation of DataRow that is backed up by a boolean array.
ByteArrayDataRow	Implementation of DataRow that is backed by a byte array.
ConditionedExampleSet	Hides Examples that do not fulfill a given Condition.
ConditionExampleReader	This ExampleReader skips all examples that do not fulfil a specified Condition.
CorrectPredictionCondition	This subclass of Condition serves to accept all examples which are correctly predicted.
CorrelationMatrix	A simple correlation matrix for a set of value columns.
DatabaseDataRow	Reads datarows from a data base.
DatabaseDataRowReader	Unlike a FileDataRowReader that reads examples from a file, objects of this class read examples from a ResultSet, a data structure that is returned from a database query.
DatabaseExampleTable	This class is another data supplier for example sets.
DataRowFactory	Factory class for DataRow objects.
DoubleArrayDataRow	Implementation of DataRow that is backed by a double array.
DoubleSparseArrayDataRow	Implementation of DataRow that is backed by primitive arrays.
DummyWeightApplier	The dummy weight applier does not calculate a new value but simply returns the given value.
Example	An example consists of regular attributes used for learning purposes and a set of special attributes like labels, clusters, or ids.
ExampleFormatter	Formats an example as specified by the format string.
ExampleFormatter.SimpleCommand	Implements some simple format commands like 'a' for all attributes or 'l' for the label.
ExampleFormatter.TextCommand	Returns simply the given text.
ExampleFormatter.ValueCommand	Returns the value of an argument which must be an attribute's name.
ExampleSetAdapter	This example set delegates all method calls to an underlying example set.
FastExample2SparseTransform	This class can be used for the efficient generation of sparse example formats.
FileDataRowReader	FileDataRowReader implements a DataRowReader that reads DataRows from a file.
FloatArrayDataRow	Implementation of DataRow that is backed by a float array.
FloatSparseArrayDataRow	Implementation of DataRow that is backed by primitive arrays.
ListDataRowReader	Iterates over a list of DataRows.
MemoryExampleTable	This class is the core data supplier for example sets.
MissingAttributesCondition	This subclass of Condition serves to excludes all examples containing no missing values from an example set.
MissingLabelsCondition	This subclass of Condition serves to exclude examples with known labels from an example set.
NominalAttribute	This class holds all information on a single nominal attribute.
NominalAttributeStatistics	Attribute statistics object for nominal attributes.
NoMissingAttributesCondition	This subclass of Condition serves to excludes all examples containing missing values from an example set.
NoMissingLabelsCondition	This subclass of Condition serves to exclude examples with unknown labels from an example set.
NumericalAttribute	This class holds all information on a single numerical attribute.
NumericalAttributeStatistics	Attribute statistics object for numerical attributes.
Partition	Implements a partition.
RandomDataRowReader	Create data rows based on random data in the range of the minimum and maximum values of the attributes.
RandomExampleTable	This class is used for example sets which should provide random values for the given attributes, i.e. each random value lies in the same range as values of the given attributes (min and max).
ResultSetDataRowReader	Unlike a FileDataRowReader that reads examples from a file, objects of this class read examples from a ResultSet, a data structure that is returned from a database query.
ScalingWeightApplier	This weight applier scales the values with the given weight.
ShuffledPartitionBuilder	Creates a shuffled partition for an example set.
SimpleArrayDataRowReader	Creates a data row reader which uses an iterator over SimpleArrayData.
SimpleExampleReader	This reader simply uses all examples from an example table.
SimpleExampleSet	A simple implementation of ExampleSet containing a list of attributes and a special attribute map.
SimplePartitionBuilder	Creates a simple non-shuffled partition for an example set.
SkipNANExampleReader	This ExampleReader skips all examples containing attribute values that are not a number.
SparseFormatDataRowReader	Reads the data rows in sparse format.
SparseMapDataRow	Implementation of DataRow that is backed by a HashMap.
SplittedExampleSet	An example set that can be split into subsets by using a Partition.
SplittedExampleSetReader	Returns only a subset of an example set specified by an instance of Partition.
SPSSDataRowReader	SPSSDataRowReader implements a DataRowReader that reads DataRows from an SPSS file.
StratifiedPartitionBuilder	Creates a shuffled and stratified partition for an example set.
StratifiedPartitionBuilder.ExampleIndex	Helper class for sorting according to class values.
Tools	Provides some tools for calculation of certain measures and feature generation.
WeightingExampleReader	This reader takes the selection and weighting of attributes into account.
WrongPredictionCondition	This subclass of Condition serves to accept all examples which are wrongly predicted.
YaleLineReader	A simple line converter for reading data from BufferedReaders.

Exception Summary

ConditionCreationException

Exception class whose instances are thrown during the creation of conditions.

Package edu.udo.cs.yale.example Description

The example handling classes of YALE. These perform both data and attribute handling.