https://github.com/cran/automl
Tip revision: d34ca22544dff11d21f1b644da9853880a50f9c4 authored by Alex Boulangé on 23 November 2018, 17:30:03 UTC
version 1.2.0
version 1.2.0
Tip revision: d34ca22
NEWS
automl 1.2.0
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* 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
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* same train/test sampling for each particle with automl_train
* stick to a format in variables naming
automl 1.0.9
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* testcvsize = 0 bug fix
automl 1.0.8
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* 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
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* vignette completion
automl 1.0.6
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* 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