{"id":4008,"date":"2023-06-15T15:07:14","date_gmt":"2023-06-15T15:07:14","guid":{"rendered":"https:\/\/eigenvector.com\/?p=4008"},"modified":"2023-06-16T13:23:58","modified_gmt":"2023-06-16T13:23:58","slug":"eigenvector-software-explained","status":"publish","type":"post","link":"https:\/\/eigenvector.com\/eigenvector-software-explained\/","title":{"rendered":"Eigenvector Software Explained"},"content":{"rendered":"\n

Eigenvector Research<\/a> produces a variety of software products for chemometrics and machine learning and we often get asked how they work together. Here’s the roadmap!<\/p>\n\n\n\n

We have two main packages for modeling, our MATLAB<\/a>\u00ae based PLS_Toolbox<\/a>, and our stand alone Solo<\/a> (with versions for Windows, macOS and Linux). Solo is the compiled version of PLS_Toolbox, so in practice they are nearly identical, the difference being that if you are using PLS_Toolbox under MATLAB you also have access to the command line versions of all the functionality. PLS_Toolbox and Solo are highly interfaced point and click programs and include PCA, PLS, PCR, MCR, ANNs, SVMs, PARAFAC, MPCA, PLS-DA, SIMCA, kNN, etc., a very wide array of preprocessing methods, and also tools for specific tasks such as calibration transfer\/instrument standardization.<\/p>\n\n\n

Eigenvector Software for Chemometrics and Machine Learning<\/h2>\n\n\n\n\n\t\n\n\t\n\t\n\t\n\t
<\/td>MATLAB\u00ae-based<\/th>Stand-alone<\/th>\n<\/tr>\n<\/thead>\n
General Modeling
& Analysis<\/td>		PLS_Toolbox<\/a><\/b>
Our flagship product 30 years in the making. Point and click or command line access to the widest array of chemical data science tools and methods.<\/td>		Solo<\/a><\/b>
The stand-alone version of PLS_Toolbox, available for Windows, macOS and Linux. Point and click chemometrics and machine learning.<\/td>\n<\/tr>\n
Hyperspectral
& Multivariate
Image Analysis<\/td>		MIA_Toolbox<\/a><\/b>
Add-on to PLS_Toolbox, allows seamless use of modeling methods on hyperspectral data plus additional image analysis tools.<\/td>		Solo+MIA<\/a><\/b>
The stand-alone version of PLS_Toolbox plus MIA_Toolbox. Point and click modeling of hyperspectral images.<\/td>\n<\/tr>\n
Model Export for
Online Predictions<\/td>		Model_Exporter<\/a><\/b>
Add-on to PLS_Toolbox, turns models into numerical recipes or code for application in other software or platforms.<\/td>		Solo+Model_Exporter<\/a><\/b>
Solo with Model_Exporter built in.<\/td>\n<\/tr>\n
Online Prediction
Engine<\/td>		<\/td>Solo_Predictor<\/a><\/b>
Full featured online prediction engine applies any PLS_Toolbox or Solo model to new data, MIA_Toolbox compatible.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n\n

If you are doing hyperspectral imaging then you can add our MIA_Toolbox<\/a> to PLS_Toolbox, or choose Solo+MIA<\/a>. This allows use of all the above methods directly on hyperspectral images plus adds a few more image specific tools. <\/p>\n\n\n\n

If you want to automate model application (say you want to get a PLS model online and have it make predictions as new data comes in) there are two main routes. Solo_Predictor<\/a> is a full featured stand alone prediction engine that can apply any model you make in PLS_Toolbox\/Solo and there are a variety of ways to communicate with it, the most common being socket connections. Solo_Predictor is compatible with hardware from many of our Technology Partner<\/a> spectrometer companies. <\/p>\n\n\n\n

Model_Exporter<\/a>, on the other hand, creates numerical recipes and code required to apply models to new data streams in a variety of languages including MATLAB and Python. These recipes can then be compiled into other programs or run on hand held devices (such as ThermoFisher\u2019s TruScan<\/a> or Si-Ware’s NeoSpectra<\/a>). <\/p>\n\n\n\n

So what software should you buy? PLS_Toolbox or Solo?<\/p>\n\n\n\n

Buy PLS_Toolbox if you …
\n— already have access to MATLAB, it’s less expensive than Solo
\n— know you want to automate pieces of your modeling process
\n— want to customize plots using MATLAB
\n— want to access additional functionality from other MATLAB toolboxes<\/p>\n

Buy Solo if you …
\n— want to work only within visual interfaces
\n— don’t need to script or program
\n— prefer the lower cost of Solo compared to MATLAB + PLS_Toolbox<\/p>\n\n\n\n

Still have questions? Write to sales@eigenvector.com<\/a>. Happy modeling!<\/p>\n\n\n\n

BMW<\/p>\n\n\n\n

MATLAB is a registered trademark of The MathWorks, Inc.<\/a>, Natick, MA. <\/p>\n","protected":false},"excerpt":{"rendered":"

Eigenvector Research produces a variety of software products for chemometrics and machine learning and we often get asked how they work together. Here’s the roadmap! We have two main packages for modeling, our MATLAB\u00ae based PLS_Toolbox, and our stand alone Solo (with versions for Windows, macOS and Linux). Solo is the compiled version of PLS_Toolbox, […]<\/p>\n","protected":false},"author":3,"featured_media":4035,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[27,30],"tags":[203,37,52,33,51,50,204,202,53,201],"class_list":["post-4008","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-chemometrics","category-software","tag-calibration","tag-chemometrics","tag-datascience","tag-hyperspectral","tag-machinelearning","tag-multivariate","tag-onlinepredictions","tag-processanalytics","tag-software","tag-spectroscopy"],"acf":[],"yoast_head":"\nEigenvector Software Explained - Eigenvector<\/title>\n<meta name=\"description\" content=\"Eigenvector Research Inc. provides advanced, state-of-the-art chemometrics and machine learning tools, here's how our packages work together.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/eigenvector.com\/eigenvector-software-explained\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Eigenvector Software Explained - Eigenvector\" \/>\n<meta property=\"og:description\" content=\"Eigenvector Research Inc. provides advanced, state-of-the-art chemometrics and machine learning tools, here's how our packages work together.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/eigenvector.com\/eigenvector-software-explained\/\" \/>\n<meta property=\"og:site_name\" content=\"Eigenvector\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/eigenvectorresearchinc\" \/>\n<meta property=\"article:published_time\" content=\"2023-06-15T15:07:14+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-06-16T13:23:58+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/eigenvector.com\/wp-content\/uploads\/2023\/06\/Screen-Shot-2023-06-16-at-6.19.40-AM.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1538\" \/>\n\t<meta property=\"og:image:height\" content=\"1010\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Barry M. 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