Release Notes Version 8 0: Difference between revisions
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* [[histaxes]] - Fix for when NaN's are present in data. | * [[histaxes]] - Fix for when NaN's are present in data. | ||
* [[als]] - Sort components by variance captured (if no constraints otherwise defining order). | * [[als]] - Sort components by variance captured (if no constraints otherwise defining order). | ||
* [[confusionmatrix]] - | * [[confusionmatrix]] - Report additional quantities for each class: count, classification error, precision and F1 score.. | ||
** Standardize terminology: TP = count, TPR = proportion (rate) for confusion matrix quantities, and labels shown. | ** Standardize terminology: TP = count, TPR = proportion (rate) for confusion matrix quantities, and labels shown. | ||
* [[comparemodels]] - Report the mean (class count weighted) of Classification Error, Precision, F1 Score for classification models. | * [[comparemodels]] - Report the mean (class count weighted) of Classification Error, Precision, F1 Score for classification models. |
Revision as of 19:26, 10 June 2015
Version 8.0 of PLS_Toolbox and Solo was released in June, 2015.
For general product information, see PLS_Toolbox Product Page. For information on Solo, see Solo Product Page.
(back to Release Notes PLS Toolbox and Solo)
New Features in Solo and PLS_Toolbox
Analysis and Models
- MLSCA - Multi-level simultaneous component analysis.
- History now captured in history field of Model Object.
- Add .scoredistance and .esterror as virtual fields for models.
- ANN now supports custom cross-validation.
- PLSDA varcap plot now available.
- Better handle full-rank PCA sub-models where Q residuals are zero in simca.
- Better handling of errors during variable matching (test to model).
- Better handling of crossval when using PLSDA.
- Convert plsda regression method input to be 'sim' (to speed it up).
- Recognize when user has passed single-column (either logical or class) and force it to be multi-column logical.
Plotting
- Improve handling of zoom status in newer versions of Matlab.
- Better handling of font sizes.
- Smarter plot style (e.g., scatter vs. bar) assumptions in "automatic" mode.
- Fix rearranging of controls issue with newer versions of Matlab.
- ********{REV 19448} add viewcompressgaps option?
- Connect Classes button has drop-down menu to display connection types.
- Add logic to NORMALIZE score distance to maximum calibration value.
- Respect include field when calculating scores limit
- Show knn score distance limits on plotscores plots.
Importers
- omnicreadr - Reads OMNICix HDF5 image files.
- Improved importer behavior with mixed length data using matchvars during import.
- Updated libraries to use new labspec 6 components including 64 bit support.
- xlsreadr - Add support for joining sheets in rows using matchvars.
- Add support for using the same graphically-selected parsing options on ALL sheets.
Preprocessing
- glog Generalized Log Transform added to preprocessing options.
- pqnorm Probabilistic Quotient Normalization added to preprocessing options.
- ******{REV r19390} glsw Combine ELS/EMM and EPO options (use "inf" to select all PCs to get old ELS behavior)
- Add support for handling missing data in both normaliz and mscorr (median only).
Distribution Fitting Toolbox
Other Interfaces
- Multiblock Tool - Interface to view, manipulate, and join data.
- Model Optimizer - Better handling of numeric data in comparison table, additional statistics, and improved handling of include field.
- Add support for automatically using user-selected model groupings in PLSDA and SVMDA within model optimizer.
- Better help integration with newer version of Matlab.
- Hierarchical Model Builder - Add vertical scrolling.
New Command-line Features and Functions
Misc New Functions
- eemoutlier - New function for automatically removing outliers in fluorescence PARAFAC models.
- mlsca Multi-level Simultaneous Component Analysis.
- multiblock Create or apply a multiblock model for joining data.
Command-Line Changes
- matchvars - Add logic to speed up some cases of joins.
- mdcheck - Allow use of KNN as data replacement method (replace missing data with data from sample(s) which are closest).
- jmlimit - Better handle degenerate cases when multiple confidence levels are requested (return VECTOR of zeros instead of single zero).
- cov_cv - Changed from SVDS to SVD.
- histaxes - Fix for when NaN's are present in data.
- als - Sort components by variance captured (if no constraints otherwise defining order).
- confusionmatrix - Report additional quantities for each class: count, classification error, precision and F1 score..
- Standardize terminology: TP = count, TPR = proportion (rate) for confusion matrix quantities, and labels shown.
- comparemodels - Report the mean (class count weighted) of Classification Error, Precision, F1 Score for classification models.