Modeling Function Overview and Release Notes Version 7 5: Difference between pages

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'''High-Level Modeling Functions'''
==New Features in Solo and PLS_Toolbox==
The following output a model structure (or similar) and are generally considered "high-level" modeling functions designed for relatively simple use by less-experienced users as well as expert users.
:[[analysis]] - Graphical user interface for data analysis.
:[[caltransfer]] - Create or apply calibration and instrument transfer models.
:[[cluster]] - KNN and K-means cluster analysis with dendrograms.
:[[cls]] - Classical Least Squares regression for multivariate Y.
:[[corrspec]] - Resolves correlation spectroscopy maps.
:[[frpcr]] - Full-ratio PCR calibration and prediction.
:[[knn]] - K-nearest neighbor classifier.
:[[lwr]] - Locally weighted regression for univariate Y.
:[[mcr]] - Multivariate curve resolution with constraints.
:[[mlr]] - Multiple Linear Regression for multivariate Y.
:[[modelselector]] - Create or apply a model selector model.
:[[mpca]] - Multi-way (unfold) principal components analysis.
:[[npls]] - Multilinear-PLS (N-PLS) for true multi-way regression.
:[[parafac]] - Parallel factor analysis for n-way arrays.
:[[parafac2]] - Parallel factor analysis for unevenly sized n-way arrays.
:[[pca]] - Principal components analysis.
:[[pcr]] - Principal components regression for multivariate Y.
:[[pls]] - Partial least squares regression for multivariate Y.
:[[plsda]] - Partial least squares discriminant analysis.
:[[purity]] - Self-modeling mixture analysis method based on purity of variables or spectra.
:[[simca]] - Soft Independent Method of Class Analogy.
:[[svm]] - SVM Support Vector Machine for regression.
:[[svmda]] - SVM Support Vector Machine for classification.
:[[tld]] - Trilinear decomposition.
:[[tucker]] - Analysis for n-way arrays.


'''Medium-Level Modeling Functions'''
===[[Modelselectorgui | Model Selector Interface]]===
The following provide functionality not generally available through another higher-level function and may be of use for certain analysis methods but also require more knowledge of Matlab and the methods involved.
* Graphical Interface to build [[Modelselector | Model Selector]] models.
* Drag and drop models from the Model Cache.
:[[gram]] - Generalized rank annihilation method.
* Graphically add decisions to each node.
:[[mlpca]] - Maximum likelihood principal components analysis.
 
:[[coda_dw]] - Calculates values for the Durbin_Watson criterion of columns of data set.
===[[Modeloptimizergui | Model Optimizer]]===
:[[comparelcms_sim_interactive]] - Interactive interface for COMPARELCMS.
* Added ability to [[Modeloptimizergui#Survey_Preprocessing | survey]] preprocessing for a given snapshot.
:[[cr]] - Continuum Regression for multivariate y.
* Additional models added (ANN).
:[[evolvfa]] - Evolving factor analysis (forward and reverse).
 
:[[ewfa]] - Evolving window factor analysis.
===New/Improved Importers===
:[[glsw]] - Generalized least-squares weighting/preprocessing.
* [[gwscanreadr|Guided Wave Scan and Autoscan]] importer added
:[[gram]] - Generalized rank annihilation method.
* ...............
:[[lwrpred]] - Engine for locally weighted regression models.
* Improved memory and speed performance for text parsing
:[[mlpca]] - Maximum likelihood principal components analysis.
 
:[[polypls]] - PLS regression with polynomial inner-relation.
===New/Improved Preprocessing Methods===
:[[ridge]] - Ridge regression by Hoerl-Kennard-Baldwin.
* [[EMSC_Toolbox_Manual|EMSC]] is now out of patent and included with PLS_Toolbox.  
:[[wtfa]] - Window target factor analysis.
 
===Analysis===
(Sub topic of [[Categorical_Index|Categorical_Index]])
* Completely revamped [[Optionseditor|options window]] allows easier saving and restoring of options.
* ANN added to methods list.
* Export and Import models directly from [[Analysis_Window:_Model_Cache_Pane#Exporting_and_Importing_Models | cache]].
 
===Plot Controls===
 
 
==New Command-line Features and Functions==
 
===Command-line Tool Changes===
 
 
===Misc New Functions===
* [[ann]] - Artificial Neural Network regression models.
* [[emscorr]] - Extended Multiplicative Scatter Correction (EMSC).
* [[importtool]] - GUI for designating column/row data types.
* [[modelselectorgui]] - Graphical Interface to built ModelSelector models
* [[preprocessiterator]]- Create array of preprocessing combinations.
* [[sammon]] - Computes Sammon projection for data or map.
* [[textreadr]] - Reads an ASCII or .XLS file in as a DataSet Object (formally xclreadr).

Revision as of 22:18, 13 November 2013

New Features in Solo and PLS_Toolbox

Model Selector Interface

  • Graphical Interface to build Model Selector models.
  • Drag and drop models from the Model Cache.
  • Graphically add decisions to each node.

Model Optimizer

  • Added ability to survey preprocessing for a given snapshot.
  • Additional models added (ANN).

New/Improved Importers

New/Improved Preprocessing Methods

  • EMSC is now out of patent and included with PLS_Toolbox.

Analysis

  • Completely revamped options window allows easier saving and restoring of options.
  • ANN added to methods list.
  • Export and Import models directly from cache.

Plot Controls

New Command-line Features and Functions

Command-line Tool Changes

Misc New Functions

  • ann - Artificial Neural Network regression models.
  • emscorr - Extended Multiplicative Scatter Correction (EMSC).
  • importtool - GUI for designating column/row data types.
  • modelselectorgui - Graphical Interface to built ModelSelector models
  • preprocessiterator- Create array of preprocessing combinations.
  • sammon - Computes Sammon projection for data or map.
  • textreadr - Reads an ASCII or .XLS file in as a DataSet Object (formally xclreadr).
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