SEARCHThe View from Eigenvector
EigenNews and EigenViews from Barry and the Eigenvector staff.
Moonset and Sunrise Manson
May 29, 2024
Moonset and Sunrise time lapse.
EVRI-thing You Need to Know About PLS_Toolbox and Solo 9.3
Jan 26, 2024
Version 9.3 includes new routines for temperature compensation in CLS models, Linear Discriminant Analysis, Shift Invariant Trilinearity and much more. Table of Contents 00:00 – Introduction and Outline 03:03 – Alternating Least Squares Shift Invariant Trilinear Models 06:46 – Shapley Values 14:23 – Classical Least Squares Temperature Interpolated 24:44 – Linear Discriminant Analysis 32:55 – […]
EVRI-thing You Need to Know About Machine Learning with Hyperspectral Images
Nov 16, 2023
Learn how to analyze hyperspectral images with non-linear machine learning methods like ANNs, XGBoost and UMAP in this free webinar. The Art Image Dataset can be found here. Table of Contents 00:00 – Introduction and Outline 02:55 – Multivariate and Hyperspectral Images 04:55 – Matricizing 06:05 – Working with Images 06:40 – Mississippi Landsat Image […]
EVRI-thing You Need to Know About Gray Classical Least Squares
Mar 31, 2023
The Gray Classical Least Squares models in PLS_Toolbox/Solo 9.2 combine the interpretability of CLS with the predictive ability of PLS regression. In this webinar we go over the benefits of the Gray CLS model and show how to develop them, including cross-validation to find the best model parameters. Table of Contents 00:00 – Introduction and […]
EVRI-thing You Need to Know About Automated Hierarchical Classification Models
Mar 16, 2023
The recently released PLS_Toolbox and Solo version 9.2 includes many improvements and additions, but perhaps the most exciting is the Hierarchical Model Automatic Classifier (HMAC) tool. The HMAC automatically creates a decision tree of Partial Least Squares Discriminant Analysis (PLS-DA) models for complex classification problems. It is based on the recently published AHIMBU method (Marchi, […]
EVRI-thing You Need to Know About PLS_Toolbox & Solo 9.2
Feb 23, 2023
Version 9.2 includes new methods for automatically creating complex classification models, determining meta-parameters in Grey-CLS and much more. Table of Contents 00:00 – Introduction and Outline 03:05 – Biplots 05:54 – Extended Correlation Mapping in Analysis interface to the y-block 08:28 – Y-block scores for PLS, PLSDA, and N-PLS models 12:01 – Gray CLS 24:56 […]
A Crash Course in Calibration Model Development Getting Models Online
Dec 8, 2022
More than just developing a regression model, quality calibrations start with planning for data collection and end with online deployment. The process is covered start to finish in this free webinar. In this addendum to the course we discuss how models can be implemented online for automated predictions. Model implementation with Solo_Predictor and Model_Exporter are […]
A Crash Course in Calibration Model Development Part 4: Optimizing Models, Saving and Documenting Models, Model Maintenance and Conclusions
Dec 7, 2022
More than just developing a regression model, quality calibrations start with planning for data collection and end with online deployment. The process is covered start to finish in this free webinar. In this fourth part of “A Crash Course in Calibration Model Development” we discuss optimizing models with preprocessing and variable selection, saving and documenting […]
A Crash Course in Calibration Model Development Part 3: Building a Partial Least Squares (PLS) Regression Model
Dec 7, 2022
More than just developing a regression model, quality calibrations start with planning for data collection and end with online deployment. The process is covered start to finish in this free webinar. In this Part 3 of this course we show how to develop a model with Partial Least Squares regression using PLS_Toolbox or Solo. Download […]
A Crash Course in Calibration Model Development Part 2: Data Review, Plotting and Principal Components Analysis (PCA)
Dec 7, 2022
More than just developing a regression model, quality calibrations start with planning for data collection and end with online deployment. The process is covered start to finish in this free webinar. In this second part we discuss reviewing data by plotting and using Principal Components Analysis (PCA) to screen data for outliers and find interesting […]
A Crash Course in Calibration Model Development Part 1: Introduction, Developing a Calibration Data Set, Importing Data into PLS_Toolbox/Solo
Dec 7, 2022
More than just developing a regression model, quality calibrations start with planning for data collection and end with online deployment. The process is covered start to finish in this free webinar. In this Part 1, we introduce Chemometrics and Machine Learning, discuss how to develop a calibration data set, and show how to import data […]
EVRI-thing You Need to Know About MLR, Ridge, LASSO and ElasticNet
Aug 25, 2022
Multiple Linear Regression goes wrong when used with ill-conditioned data. Find out how to fix it with Ridge Regression, LASSO and ElasticNet. Table of Contents 00:00 – Introduction and Outline 01:48 – Inverse Least Squares models 02:46 – Multiple Linear Regression 04:45 – Example: Slurry-Fed Ceramic Melter 11:24 – Ridge Regression 24:16 – Least Absolute […]
EVRI-thing You Need to Know About Batch Analysis
Aug 4, 2022
Many pharmaceuticals and fine chemicals are made in batch processes. Learn how to model data from batches for monitoring and analysis. Table of Contents 00:00 – Introduction 01:28 – Fault Detection 02:36 – PCA for Multivariate Statistical Process Control 06:20 – Batch Process Control Data Problems 09:08 – Summary Variables 11:55 – Pseudo-steps 13:38 – […]
EVRI-thing You Need to Know About Modeling Fluorescence EEM Data
Feb 22, 2022
Learn how to use the multi-way analysis tools such as PARAFAC in PLS_Toolbox & Solo to model fluorescence excitation emission (EEM) data. Table of Contents 00:00 – Introduction and Outline 03:28 – EEM Spectrometry 10:05 – Multi-way data aka tensor data 12:07 – PARAFAC Can unmix Mixtures 43:40 – More Details 58:00 – Summary
EVRI-thing You Need to Know About ANN Options in PLS_ToolboxSolo
Jan 24, 2022
Learn about the Artificial Neural Network (ANN) methods available in PLS_Toolbox and Solo. Table of Contents 00:00 – Introduction and Outline 01:40 – ANN Options in PLS_Toolbox/Solo 04:06 – Artificial Neural Network (ANN) 09:48 – Scikit-Learn/ Tensorflow and New ANN Methods 11:07 – Python Configuration 13:35 – Scikit-Learn 18:06 – Tensorflow 23:40 – Calibration time […]
EVRI-thing You Need to Know About t-SNE & UMAP in PLS_Toolbox/Solo
Jan 6, 2022
PLS_Toolbox and Solo version 9.0 include two relatively new data visualization methods, t-distributed Stochastic Neighbor Embedding (t-SNE) and Uniform Manifold Approximation and Projection (UMAP). These routines, from the scikitlearn library for Python, can now be found in our interfaces (and for PLS_Toolbox, also at the MATLAB® command line). We will introduce these methods and show […]
Gray Classical Least Squares (CLS) with GLSW filter
Dec 17, 2021
PLS_Toolbox and Solo 9.0 include the ability to make Gray Classical Least Squares (CLS) models. This is a CLS model that uses Generalized Least Squares Weighting (GLSW) or External Parameter Orthogonalization (EPO) filter data based on the residuals of a preliminary CLS model. This video shows how to use this functionality in the new PLS_Toolbox […]
EVRI-thing You Need to Know About PLS_Toolbox & Solo 90
Dec 17, 2021
Version 9.0 includes new methods for data visualization and machine learning and a host of other improvements. Learn how to access them in this free webinar. See these addendum videos for additional examples not covered in the first video: Gray Classical Least Squares (CLS) with GLSW filter Table of Contents 00:00 – Introduction and Outline […]
Python Configuration for Solo
Oct 7, 2021
Python Configuration for PLS_Toolbox
Sep 24, 2021
