Mercurial > repos > bgruening > sklearn_estimator_attributes
diff keras_macros.xml @ 7:7a9a9349eb42 draft
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
| author | bgruening |
|---|---|
| date | Mon, 16 Dec 2019 05:27:30 -0500 |
| parents | 7a64b9f39a46 |
| children | 375bbd555f4a |
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--- a/keras_macros.xml Thu Nov 07 05:34:32 2019 -0500 +++ b/keras_macros.xml Mon Dec 16 05:27:30 2019 -0500 @@ -1,5 +1,5 @@ <macros> - <token name="@KERAS_VERSION@">0.4.2</token> + <token name="@KERAS_VERSION@">0.5.0</token> <xml name="macro_stdio"> <stdio> @@ -18,7 +18,7 @@ <xml name="keras_optimizer_common_more" token_lr="0.001"> <expand macro="keras_optimizer_common" lr="@LR@"> - <param argument="epsilon" type="float" value="" label="epsilon" optional="true" help="Fuzz factor. If `None`, defaults to `K.epsilon()`"/> + <!--param argument="epsilon" type="float" value="" label="epsilon" optional="true" help="Fuzz factor. If `None`, defaults to `K.epsilon()`"/>--> <param argument="decay" type="float" value="0" optional="true" label="decay" help="Learning rate decay over each update."/> <yield/> </expand> @@ -885,7 +885,7 @@ <expand macro="keras_optimizer_common" lr="0.002"> <param argument="beta_1" type="float" value="0.9" optional="true" label="beta_1" help="float, 0 < beta < 1. Generally close to 1."/> <param argument="beta_2" type="float" value="0.999" optional="true" label="beta_2" help="float, 0 < beta < 1. Generally close to 1."/> - <param argument="epsilon" type="float" value="" label="epsilon" optional="true" help="Fuzz factor. If `None`, defaults to `K.epsilon()`"/> + <!--param argument="epsilon" type="float" value="" label="epsilon" optional="true" help="Fuzz factor. If `None`, defaults to `K.epsilon()`"/>--> <param argument="schedule_decay" type="float" value="0.004" optional="true" label="schedule_decay" help="float, 0 < beta < 1."/> </expand> </when>