Package com.rapidminer.example.table

The available example table implementations (data sources).

See:
Description

Interface Summary

DataRowReader	Reads a sequence of DataRows, e.g. from memory, a file or a database.
ExampleTable	This class is the core data supplier for example sets.
NominalMapping	This class is used to map between the nominal values for a certain attribute and the internal double value representations which is used for nominal values in order to reduce memory usage.
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.

Class Summary

AbstractAttribute	This is a possible abstract superclass for all attribute implementations.
AbstractDataRowReader	Reads a sequence of DataRows, e.g. from memory, a file or a database.
AbstractExampleTable	This class is the core data supplier for example sets.
AbstractSparseArrayDataRow	Implementation of DataRow that is backed by primitive arrays.
AttributeFactory	This class is used to create and clone attributes.
BinominalAttribute	This class holds all information on a single binary attribute.
BinominalMapping	This is an efficient implementation of a NominalMapping which can be used for binominal attributes, i.e. for attributes with only two different values.
BooleanArrayDataRow	Implementation of DataRow that is backed up by a boolean array.
BooleanSparseArrayDataRow	Implementation of DataRow that is backed by primitive arrays.
ByteArrayDataRow	Implementation of DataRow that is backed by a byte array.
ByteSparseArrayDataRow	Implementation of DataRow that is backed by primitive arrays.
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.
DataRow	This interface defines methods for all entries of ExampleTable implementations.
DataRowFactory	Factory class for DataRow objects.
DateAttribute	This class holds all information on a single date attribute.
DoubleArrayDataRow	Implementation of DataRow that is backed by a double array.
DoubleSparseArrayDataRow	Implementation of DataRow that is backed by primitive arrays.
FastSparseDoubleArrayDataRow	This implementation of a sparse DataRow makes use of the binary search index to maintain a sorted list of indices to save the effort of re sorting on adding a new index.
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.
IndexCachedDatabaseExampleTable	This class is another data supplier for example sets.
IntArrayDataRow	Implementation of DataRow that is backed by an integer array.
IntSparseArrayDataRow	Implementation of DataRow that is backed by primitive arrays.
LimitCachedDatabaseExampleTable	This class is another data supplier for example sets.
ListDataRowReader	Iterates over a list of DataRows.
LongArrayDataRow	Implementation of DataRow that is backed by a long array.
LongSparseArrayDataRow	Implementation of DataRow that is backed by primitive arrays.
MemoryExampleTable	This class is the core data supplier for example sets.
NominalAttribute	This class holds all information on a single nominal attribute.
NonWritableDataRow	This data row can be wrapped around another data row (delegate) in order to prevent writing access.
NumericalAttribute	This class holds all information on a single numerical attribute.
PolynominalAttribute	This class holds all information on a single nominal attribute.
PolynominalMapping	This is an implementation of NominalMapping which can be used for nominal attributes with an arbitrary number of different values.
RandomDataRowReader	Create data rows based on random data in the range of the minimum and maximum values of the attributes of the given base example set.
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) of the base example set.
RapidMinerLineReader	A simple line converter for reading data from BufferedReaders.
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.
ShortArrayDataRow	Implementation of DataRow that is backed by a short array.
ShortSparseArrayDataRow	Implementation of DataRow that is backed by primitive arrays.
SimpleArrayDataRowReader	Creates a data row reader which uses an iterator over SimpleArrayData.
SparseFormatDataRowReader	Reads the data rows in sparse format.
SparseMapDataRow	Implementation of DataRow that is backed by a HashMap.
ViewAttribute	A view attribute is based on a ViewModel (Preprocessing Model) and applies the model on the fly.

Package com.rapidminer.example.table Description

The available example table implementations (data sources). Please note that an example set never contain any data. Several views can be stacked what we call multi-layer data view concept. In this package you can find all classes to define the sources for these views.