Commits · 810c681cc4c354bdf4b68373fd427b5011c10be3 · Sébastien Peillet / otb

Oct 06, 2017
- STYLE: rename parameters of the application · 810c681c
  Jordi Inglada authored 7 years ago
  
  810c681c
Oct 03, 2017
- REFAC: rename classes and files and move some of them to the · 5bf575f9
  Jordi Inglada authored 7 years ago
  
  application module
  5bf575f9
- COMP: dependencies and renaming for module to compile · a0a00b98
  Jordi Inglada authored 7 years ago
  
  a0a00b98
- Imported dimensionality reduction module into OTB · a7f2dc29
  Jordi Inglada authored 7 years ago
  
  a7f2dc29
Jul 06, 2017
- Started refactoring of ae (paused) · b2fc854c
  Cédric Traizet authored 7 years ago
  
  b2fc854c
Jun 30, 2017

Cédric Traizet authored 7 years ago

BUG : SOMModel now herits from MachineLearningModel<TInput,...> instead of MachineLearningModel<itk:variablelengthvector<TInput>,...>

47fc69c1

Cédric Traizet authored 7 years ago

DR is now based on Machine Learning Models, it is now possible to reduce de dimension of the pca model (it has to be changed in PCAModel.txx for now

ea53b867

Jun 20, 2017
- som is now a machine learning model, ae and pca have been deactiveted · a30fb6f2
  Cédric Traizet authored 7 years ago
  
  a30fb6f2
May 24, 2017
- added new parameter tied/untied for autoencoders · 4442d2af
  Cédric Traizet authored 7 years ago
  
  4442d2af
- serialization of som models done, added som maps of dimension 4 and 5 · 039141fc
  Cédric Traizet authored 7 years ago
  
  039141fc
May 18, 2017
- added code for saving a SOM as txt file, + some code cleaning · 02e37fb0
  Cédric Traizet authored 7 years ago
  
  02e37fb0
May 16, 2017
- Training app for SOM working, empty som factory header created · ef393f13
  Cédric Traizet authored 7 years ago
  
  ef393f13
- Shark pca and autoencoders DoPredict's method (ie without using batches) is... · 600d61b9
  Cédric Traizet authored 7 years ago
  
  Shark pca and autoencoders DoPredict's method (ie without using batches) is now working, it shouldn't be used thought, as using batches is more efficient with Shark
  600d61b9
May 09, 2017
- app training working for autoencoder and tied autoencoder using the autoencodermodel class · 2f6c48cd
  Cédric Traizet authored 7 years ago
  
  2f6c48cd