ParaMonte MATLAB 3.0.0
Parallel Monte Carlo and Machine Learning Library
See the latest version documentation.
FileContentsChain Class Reference

This is the base class for generating objects that contain the contents of a chain file generated by a ParaMonte sampler.
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Inheritance diagram for FileContentsChain:
Collaboration diagram for FileContentsChain:

Public Member Functions

function FileContentsChain (in file, in silent, in sep)
 Return a scalar object of class pm.sampling.FileContentsChain.
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Detailed Description

This is the base class for generating objects that contain the contents of a chain file generated by a ParaMonte sampler.

This class is meant to be primarily internally used by the ParaMonte MATLAB library samplers.
See the documentation of the class constructor.

Note
See below for information on the attributes (properties).
See below for information on the methods.


Final Remarks


If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.

  1. If you use any parts or concepts from this library to any extent, please acknowledge the usage by citing the relevant publications of the ParaMonte library.
  2. If you regenerate any parts/ideas from this library in a programming environment other than those currently supported by this ParaMonte library (i.e., other than C, C++, Fortran, MATLAB, Python, R), please also ask the end users to cite this original ParaMonte library.

This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.

Author:
Joshua Alexander Osborne, May 21 2024, 1:05 AM, University of Texas at Arlington
Fatemeh Bagheri, May 20 2024, 1:25 PM, NASA Goddard Space Flight Center (GSFC), Washington, D.C.
Amir Shahmoradi, May 16 2016, 9:03 AM, Oden Institute for Computational Engineering and Sciences (ICES), UT Austin

Definition at line 23 of file FileContentsChain.m.

Constructor & Destructor Documentation

◆ FileContentsChain()

function FileContentsChain::FileContentsChain ( in  file,
in  silent,
in  sep 
)

Return a scalar object of class pm.sampling.FileContentsChain.

This is the constructor of the class pm.sampling.FileContentsChain.

Parameters
[in]file: The input scalar MATLAB string containing the path or web address to an external file.
[in]silent: See the corresponding argument of pm.sampling.FileContentsSample class.
(optional. The default is set by pm.sampling.FileContentsSample.)
[in]sep: See the corresponding argument of pm.sampling.FileContentsSample class.
(optional. The default is set by pm.sampling.FileContentsSample.)
Returns
self : The output scalar object of class pm.sampling.FileContentsChain.


Possible calling interfaces

contents = pm.sampling.FileContentsChain(file)
contents = pm.sampling.FileContentsChain(file, [])
contents = pm.sampling.FileContentsChain(file, silent)
contents = pm.sampling.FileContentsChain(file, [], sep)
contents = pm.sampling.FileContentsChain(file, silent, sep)
Note
See the documentations of the subclasses of this class for example usage.


Final Remarks


If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.

  1. If you use any parts or concepts from this library to any extent, please acknowledge the usage by citing the relevant publications of the ParaMonte library.
  2. If you regenerate any parts/ideas from this library in a programming environment other than those currently supported by this ParaMonte library (i.e., other than C, C++, Fortran, MATLAB, Python, R), please also ask the end users to cite this original ParaMonte library.

This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.

Author:
Joshua Alexander Osborne, May 21 2024, 1:07 AM, University of Texas at Arlington
Fatemeh Bagheri, May 20 2024, 1:25 PM, NASA Goddard Space Flight Center (GSFC), Washington, D.C.
Amir Shahmoradi, May 16 2016, 9:03 AM, Oden Institute for Computational Engineering and Sciences (ICES), UT Austin

The documentation for this class was generated from the following file: