📄 datafiles.m
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%DATAFILES Info on the datafile class construction for PRTools%% This is not a command, just an information file.%% Datafiles in PRTools are in the MATLAB language defined as objects of the% class DATAFILE. They inherit most of their properties of the class DATASET.% They are a generalisation of this class allowing for large datasets % distributed over a set of files. Before conversion to a dataset % preprocessing can be defined. There are four types of datafiles:% raw : Every file is interpreted as a single object in the dataset. These% files may, for instance, be images of different size.% cell: All files should be mat-files containing just a single variable being% a cell array. Its elements are interpreted as objects. The file names % will be used as labels during construction. This may be changed by the% user afterwards.% pre-cooked : In this case the user should supply a command that reads a% file and converts it to a dataset.% half-baked : All files should be mat-files, containing a single dataset. % mature : This is a datafile by PRTools, using the SAVEDATAFILE command after% execution of all preprocessing defined for the datafile. %% A datafile is, like a dataset, a set consisting of M objects, each described% by K features. K might be unknown, in which case it is set to zero, K=0.% Datafiles store an administration about the files or directories in which% the objects are stored. In addition they can store commands to preprocess% the files before they are converted to a dataset and postprocessing% commands, to be executed after conversion to a dataset.%% Datafiles are mainly an administration. Operations on datafiles are% possible as long as they can be stored (e.g. filtering of images for raw% datafiles, or object selection by GENDAT). Commands that are able to% process objects sequentially, like NMC and TESTC can be executed on% datafiles.%% Whenever a raw datafile is sufficiently defined by pre- and postprocessing% it can be converted into a dataset. If this is still a large dataset, not% suitable for the available memory, it should be stored by the% SAVEDATAFILE command and is ready for later use. If the dataset is% sufficiently small it can be directly converted into a dataset by% DATASET.%% Intermediate results of datafiles that by the defined preprocessing% cannot yet be converted into a dataset, can be stored as a new, raw% datafile by CREATEDATAFILE.%% The main commands specific for datafiles are:% DATAFILE - constructor. It defines a datafile on a directory.% ADDPREPROC - adds preprocessing commands (low level command)% ADDPOSTPROC - adds postprocessing commands (low level command)% FILTM - user interface to add preprocessing to a datafile.% CREATEDATAFILE- executes all defined preprocessing and stores the result% as a new, raw datafile.% SAVEDATAFILE - executes all defined pre- and postprocessing and stores% the result as a dataset in a set of matfiles.% DATASET - conversion to dataset%% Datafiles have the following fields, in addition to all dataset fields.% ROOTPATH - Absolute path of the datafile% FILES - names of directories (for raw datafiles) or mat-files% (for converted datafiles)% TYPE - datafile type% PREPROC - preprocessing commands in a struct array% POSTPROC - postprocessing commands as mappings% DATASET - stores all dataset fields. Note that the DATA field as well% as the target field are empty and that the IDENT.FILE_INDEX % field is used to store for every object a pointer to a file % or directory in FILES.%% Almost all operations defined for datasets are also defined for% datafiles, with a few exceptions. Also fixed and trained mappings can% handle datafiles, as they process objects sequentially. The use of% untrained mappings in combination with datafiles is a problem, as they% have to be adapted to the sequential use of the objects. Mappings that% can handle datafiles are indicated in the Contents file.%% The possibility to define preprocessing of objects (e.g. images) with% different sizes makes datafiles useful for handling raw data and% measurements of features.% Copyright: R.P.W. Duin, r.p.w.duin@prtools.org% Faculty EWI, Delft University of Technology% P.O. Box 5031, 2600 GA Delft, The Netherlands
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