#include <agrum/agrum.h>
#include <agrum/tools/database/DBCell.h>
#include <agrum/tools/database/IDatabaseTable.h>
#include <agrum/tools/database/rawDatabaseTable_tpl.h>

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Classes
class	gum::learning::RawDatabaseTable< ALLOC >
	The table containing the raw/original data of a databaseClass RawDatabaseTable is intended to store in RAM the raw/original data of a database. More...

Namespaces
	gum
	Copyright (c) 2005-2021 by Pierre-Henri WUILLEMIN() & Christophe GONZALES() info_at_agrum_dot_org.

	gum::learning

Detailed Description

This library is free software: you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This library is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details.

You should have received a copy of the GNU Lesser General Public License along with this library. If not, see http://www.gnu.org/licenses/. The table containing the raw/original data of a database

Class RawDatabaseTable is intended to store in RAM the raw/original data of a database. Such raw data are not well suited for learning tasks because they need to be interpreted by the learning algorithm, which would incur a strong overhead. However, reading a CSV file and interpreting its data in order to reshape them in a way that will allow fast parsing by learning algorithms is also very time consuming. So, if you are unsure about the correct interpretation and need to change it several times either before processing the learning or during several learning phases, it is efficient to first read the CSV file and store its useful data (removing comments, for instance) into a first database table and, then, use this preprocessed table to produce quickly the interpreted database table that will subsequently be used by the learning. The purpose of the RawDatabaseTable class is precisely to implement this preprocessed table.

Author: Christophe GONZALES() and Pierre-Henri WUILLEMIN()

Definition in file rawDatabaseTable.h.

Classes

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Detailed Description