Jump to content

8 Screenshots

About This File

The Eigen4AutoIt environment (thread is here:

online Help is here) allows you to do matrix I/O (memory & files), matrix arithmetic, transformation, and decomposition, solve systems of linear equations, and perform advanced statistics, all at either single or double precision. Most functions can act on real or complex matrices (or the latter's real/imaginary parts separately). Much of the actual complexity of using Eigen in its native C++ environment has been hidden for AutoIt users, through extensive bounds and error checks, an intuitive function-naming convention, a large help file, and detailed tutorials and test examples.

This library allows you to perform fast matrix operations on large numerical data sets, using special matrix variables and simple AutoIt wrapper functions. These wrappers call C++ wrappers in the dlls (also written by RTFC, source included). The dlls in turn re-map AutoIt memory and call one or more Eigen functions. All operations are memory pointer-based and act directly on the matrices created in your AutoIt script, obviating the need for data transfers. Both 32-bit and 64-bit environments are supported; in x64, matrices can be any size that fits into virtual memory.

What's New in Version 4.2


  • Added: _Eigen_LDA now supports up to 32 classes if submitted in a single input matrix (with class IDs in a specified column of matrix A or in the first column of matrix P). The maximum number of multiple data sets remains 8 training sets and up to 8 testing sets.
  • Added: _Eigen_LDA dll function now produces diagnostics to console if $EIGEN_VERBOSE is set (see _Eigen_SetVerbose).
  • Added: _Eigen_Translate/_Col_inPlace/_InPlace/_Row_InPlace, to replace all occurrences of specific values using a lookup table, with test script.
  • Added: _Eigen_ReplaceMatrixValue, updating and returning original matrix cell content in a single call.
  • Added: _Eigen_IncrementMatrixValue, _Eigen_DecrementMatrixValue, _Eigen_AddMatrixValue, _Eigen_SubMatrixValue, _Eigen_MultMatrixValue, and _Eigen_DivMatrixValue, for single matrix cell management.
  • Added: transposed block-copy functions _Eigen_Copy_ABlock_ToAblock_Transposed and _Eigen_Copy_ABlock_ToBblock_Transposed.
  • Added: _Eigen_Copy_Avector_ToAvector and _Eigen_Copy_Avector_ToBvector, with optional user-defined offsets.
  • Added: _Eigen_Copy_AStrictlyUpper_ToAStrictlyLower and _Eigen_Copy_AStrictlyLower_ToAStrictlyUpper for square matrices.
  • Added: _Eigen_ConditMask_Col/_InPlace and _Eigen_ConditMask_Row/_InPlace, returning a masking column- c.q. row vector.
  • Added: more checks for invalid intermediate results (in dll) in _Eigen_LDA.
  • Added: parts of the free Spectra Eigensolver template library (itself based upon Eigen), incorporated into new functions _Eigen_Spectra_GenEigsSolver and _Eigen_Spectra_SymEigsSolver; these allow a user-defined number of the largest or smallest eigenvalues (and associated eigenvectors)  to be computed, enabling larger data sets and faster convergence.
  • Added: option $useSpectra in _Eigen_LDA (default: False) to use Spectra calls, enabling larger data sets and faster convergence.
  • Added: path existence checks in matrix file I/O functions.
  • Added: error messages in _Eigen_Show_MatrixProfile.
  • Added: internal function _Eigen_ResetFlag.
  • Changed: _Eigen_LDA output matrices I and Z have been extended with a second column to store mismatch counts per class.
  • Changed: when E4A error messages are enabled, they are now written out to console as well.
  • Changed: whenever the number of released matrices exceeds new Global $EIGEN_MAXBLANKS (default: 1,000), the empty array tail is clipped.
  • Changed: the order of optional parameters in _Eigen_Gauss_Pvalue and _Eigen_Gauss_ZtoPvalue. This is a script-breaking change.
  • Changed: internal functionality of _Eigen_Normalise*, see description in Help file. This is a script-breaking change.
  • Fixed: various bugs in some edge cases of _Eigen_LDA.
  • Fixed: _Eigen_Sort/_InPlace did not parse the $ascending flag to the dll function.
  • Fixed: internal function _Eigen_Selection_ToTable did not declare internal counter $cc locally.
  • Fixed: internal function _Eigen_BitClear did not work properly.
  • Fixed: several Normalise functions had incorrect bounds checks.
  • Fixed: various typos and examples in Help document.

User Feedback

You may only provide a review once you have downloaded the file.

There are no reviews to display.

  • Similar Content

    • RTFC
      By RTFC
      The Eigen C++ template library is a great environment for matrix computing; it is fast, reliable, extensive, and well-documented. It is also completely free, and does not rely on any external dependencies. Unfortunately for AutoIt users, the term “template library” implies that any functions you call are only instantiated upon compilation (in C++). That means there's nothing to hook into.
      To make Eigen ’s most important functionality directly accessible from within AutoIt scripts (version 3.3.12+, download it here), I developed the Eigen4AutoIt environment. It runs on Windows and under Wine also on Linux and Mac (Ubuntu, Debian, Fedora, and MacOS supported by WineHQ), and SUSE, Slackware, and FreeBSD supported by the distros).
      >Download the latest version

      It consists of:
      1) Eigen4AutoIt.au3
      an AutoIt library of wrapper functions that contain extensive bounds checks, matrix management, file I/O, type conversion, and precision control, and two-way data exchange with files and native AutoIt arrays;
      2) Eigen-wrapper dlls (EigenDense.dll, EigenDense_x64.dll)
      re-maps matrices created in AutoIt as Eigen Matrix objects, then calls Eigen’s powerful core functions; the single-precision part of the C++ source code I wrote is included in the bundle (the double-precision, integer, and complex alternatives just duplicate this with different memory mappings and variable types). The basic functions consist of a single Eigen call; decompositions and statistics are more involved. 3) Additional materials:
      the user-interactive, animated Function Selector and MatrixViewer tools the MatrixFileConverter to read/write E4A matrices from/to .csv ASCII, Excel, and Xbase files. three libraries of scientific and mathematical constants online Help Large (.chm) Help file Quickstart Manual (11-page pdf, updated) Test suite Tutorials from Basics to Advanced Please note:
      none of this is part of Eigen's own distribution you only need this bundle; you do not need to install Eigen. How it works:
      No matrix content is ever transferred, only memory pointers, meaning computations in AutoIt are virtually as fast as in Eigen’s native environment, with the added advantage of not having to be compiled first. The drawback is that Eigen's native ad-hoc expression templates (and their internal optimisations) cannot be exploited here; you have to construct your operations with the basic building blocks. These provide matrix creation, I/O, cellwise operations, reduction, multiplication, transformation, decomposition (LU, Householder, Choleski, and Jacobi SVD; these include general linear solvers) and a small statistics module by yours truly.

      IMPORTANT: Posting Rules for this thread:
      1) Do not post or PM me any matrix-, maths-, or Eigen-related questions. Eigen has its own User Forum for that (or try math.stackExchange.com). I am not your maths guru! If you post such questions, I will either ignore your post or remind you of this rule.

      2) Do not post or PM me your data sets and/or non-working Eigen4AutoIt scripts; I will not analyse your data or fix your scripts for you! There are many reasons why a linear algebra procedure might fail to produce the answer you expect. You are wielding great mathematical power here, so exploit the fantastic internet resources at your fingertips and learn how to use it. To get you started, I've listed a few video tutorials and other helpful materials in the header remarks of Eigen4AutoIt.au3. Also check out the test scripts, the Tutorials, and the Help file.

      3) I do warmly welcome all of the following:
      remarks, advice, suggestions for improvements, encouragement, cash; bug reports re. the Eigen4AutoIt interface (individual functions that don't work the way they should) and/or the associated dll code (ditto); your own working Eigen4AutoIt templates of general use that you'd like to see implemented in a future release. Regarding that last item, have a look at my PCA tutorial. After the step-by-step stage, I summarise the entire procedure in a "mini script" of Eigen4AutoIt calls. Then I introduce the two internal PCA functions I developed, which replace that script with two simple calls. You can do the same thing, and submit your own functional Eigen4AutoIt script in this thread. If I consider it of general use and can implement it, it may become a new Eigen4AutoIt function in the next release (with source acknowledgement, of course). This means that you'd get a precompiled dll version of your script that will likely run faster and be simpler to call. Thereby this thread would become an Eigen4AutoIt Example Scripts mini forum. It's just a thought.
      >Download the latest version (uncompressed size: 29 MB)
      How to Install
      You need AutoIt version 3.3.12 or later. Extraction (with 7-zip) creates subdirectory Eigen4AutoIt, where you'll find Eigen4AutoIt.ini. Open it, find global variable $EIGEN_DLLPATH, and copy/paste the full absolute path (without trailing backslash) where the Eigen4AutoIt dlls are located on your machine. Save the ini file, open the first tutorial ("intro") in Scite, and start it. This shows basic matrix I/O and mode switching (single versus double precision). If that runs, you're in business.
    • Ascer
      By Ascer
      1. Description
      Anti-bot system to avoid spam. Vector graphic style generates 4 random numbers from 0-9 and create a picture. 2. Requirements
      .NET Framework 1.1 - 4.5 (on this version Microsoft destroy old rules) 3. Possibilities.

      Source package Capatcha.rar
    • Ascer
      By Ascer
      Do you have any idea to resize Vector graphic using some maths trick?
      It's example to create Vector image 10x10px and write A
      Local $a10x10 = [ _ 1,1,1,1,1,1,1,1,1,1, _ 1,1,1,0,0,0,0,1,1,1, _ 1,1,0,0,1,1,0,0,1,1, _ 1,1,0,1,1,1,1,0,1,1, _ 1,1,0,1,1,1,1,0,1,1, _ 1,1,0,0,0,0,0,0,1,1, _ 1,1,0,1,1,1,1,0,1,1, _ 1,1,0,1,1,1,1,0,1,1, _ 1,0,0,0,1,1,0,0,0,1, _ 1,1,1,1,1,1,1,1,1,1 _ ] Local $oVector = ObjCreate("WIA.Vector.1") If Not IsObj($oVector) Then ConsoleWrite("+++ Error " & @error & " durning create a Vector.object." & @CRLF) Exit EndIf Local $iBlue = 0xFF0000FF ; ARGB color Local $iWhite = 0xFFFFFFFF ; adding pixels to vector For $i = 0 To UBound($a10x10) - 1 Local $iPixel = $a10x10[$i] Local $iColor = $iBlue If $iPixel = 0 Then $iColor = $iWhite $oVector.Add($iColor) Next ; create a img 10x10 px Local $oImg = $oVector.ImageFile(10, 10) ; path to file Local $sPath = @ScriptDir & "\Vector.bmp" ; delete previous file if exits. FileDelete($sPath) ; save img to script direction. $oImg.SaveFile($sPath) ; show result, you have to use 800% size to see effects. ShellExecute("Vector.bmp")  
    • AlecSadler
      By AlecSadler
      Hello friends! I have been working on an encryption algorithm in autoit as a proof of concept for some time now. Basically the algorithm uses a progressive recursion to encode data inside a matrix using a key that changes according to the date-time of the system, which is extracted from a larger key array. Recently after a drive failure, I lost the source and had to start from scratch, now I can't quite get it working the way it was before, and I can't see what I'm doing wrong, if anyone who understands matrix math or encryption could help I would much appreciate it. The problem is that the values returned by the decryption (extraction) process are way too big.
      I have figured out the solution to my problem, it was a typo, please disregard this thread.
      I will post my project into example scripts when it's ready.

Important Information

We have placed cookies on your device to help make this website better. You can adjust your cookie settings, otherwise we'll assume you're okay to continue.