automl 1.2.8
============================================
* time limit for sub modelizations in automl_
  train function, to avoid waiting too long
  for a specific particle to finish its mode-
  lization

automl 1.2.7
============================================
* lightening models produced by removing
  unnecessary data (Z, A layers, etc...)

automl 1.2.6
============================================
* just a proper Authors@R field 4 CRAN :-)

automl 1.2.5
============================================
* automl_train bug fix when particle produces
  no exploitable model (continued work)

automl 1.2.4
============================================
* automl_train bug fix when particle produces
  no exploitable model

automl 1.2.3
============================================
* dropout bug fix (now random at each mini
  batch and reproductible)
* bug fix: continue training on auto trained model
  with manual function

automl 1.2.2
============================================
* pkgdown site with vignettes (Rmd file added)

automl 1.2.1
============================================
* pkgdown site (nb: Rnw vignettes are not included)

automl 1.2.0
============================================
* New param 'mdlref' for automl_train_manual:
  to start training from saved model (shape,
  weights...) for fine tuning
* New param 'mdlref' for automl_train:
  to start training with loaded hpar and autopar
  (not the model)
* New 'auto_runtype' autopar for automl_train
  to run automatically the 2 steps below;
  1: overfitting, goal: performance
  2: regularization, goal: generalization
* dropout bug fix
* lambda bug fix

automl 1.1.0
============================================
* same train/test sampling for each particle with automl_train
* stick to a format in variables naming

automl 1.0.9
============================================
* testcvsize = 0 bug fix

automl 1.0.8
============================================
* New automatic hyperparameters adjustments below:
  'auto_psovelocitymaxratio' autopar PSO velocity max ratio
  'auto_layer' autopar layer shape (layers number, nodes
  number per layer, activation types and dropout ratios)
* 'auto_lambda' bug fix

automl 1.0.7
============================================
* vignette completion

automl 1.0.6
============================================
* vignette howto_automl: why, how and basic howto
* 'auto_lambda' autopar regularization hyperparameter
* seed bug fix for reproductibility
* display enhancement in NN structure display

automl 1.0.5
============================================
* first public release on CRAN
* There's so much to do; transfert learning, CNN, RNN ...
  feel free to join