Mercurial > repos > bgruening > model_prediction

comparison keras_macros.xml @ 5:6efb9bc6bf32 draft

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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
author bgruening
date Mon, 16 Dec 2019 05:13:39 -0500
parents af7ed4d45619
children 1552b8cb4a94
comparison
equal deleted inserted replaced
4:919198d656dd 5:6efb9bc6bf32
1 <macros> 1 <macros>
2 <token name="@KERAS_VERSION@">0.4.2</token> 2 <token name="@KERAS_VERSION@">0.5.0</token>
3 3
4 <xml name="macro_stdio"> 4 <xml name="macro_stdio">
5 <stdio> 5 <stdio>
6 <exit_code range="1:" level="fatal" description="Error occurred. Please check Tool Standard Error"/> 6 <exit_code range="1:" level="fatal" description="Error occurred. Please check Tool Standard Error"/>
7 </stdio> 7 </stdio>
16 </section> 16 </section>
17 </xml> 17 </xml>
18 18
19 <xml name="keras_optimizer_common_more" token_lr="0.001"> 19 <xml name="keras_optimizer_common_more" token_lr="0.001">
20 <expand macro="keras_optimizer_common" lr="@LR@"> 20 <expand macro="keras_optimizer_common" lr="@LR@">
21 <param argument="epsilon" type="float" value="" label="epsilon" optional="true" help="Fuzz factor. If `None`, defaults to `K.epsilon()`"/> 21 <!--param argument="epsilon" type="float" value="" label="epsilon" optional="true" help="Fuzz factor. If `None`, defaults to `K.epsilon()`"/>-->
22 <param argument="decay" type="float" value="0" optional="true" label="decay" help="Learning rate decay over each update."/> 22 <param argument="decay" type="float" value="0" optional="true" label="decay" help="Learning rate decay over each update."/>
23 <yield/> 23 <yield/>
24 </expand> 24 </expand>
25 </xml> 25 </xml>
26 26
883 </when> 883 </when>
884 <when value="Nadam"> 884 <when value="Nadam">
885 <expand macro="keras_optimizer_common" lr="0.002"> 885 <expand macro="keras_optimizer_common" lr="0.002">
886 <param argument="beta_1" type="float" value="0.9" optional="true" label="beta_1" help="float, 0 &lt; beta &lt; 1. Generally close to 1."/> 886 <param argument="beta_1" type="float" value="0.9" optional="true" label="beta_1" help="float, 0 &lt; beta &lt; 1. Generally close to 1."/>
887 <param argument="beta_2" type="float" value="0.999" optional="true" label="beta_2" help="float, 0 &lt; beta &lt; 1. Generally close to 1."/> 887 <param argument="beta_2" type="float" value="0.999" optional="true" label="beta_2" help="float, 0 &lt; beta &lt; 1. Generally close to 1."/>
888 <param argument="epsilon" type="float" value="" label="epsilon" optional="true" help="Fuzz factor. If `None`, defaults to `K.epsilon()`"/> 888 <!--param argument="epsilon" type="float" value="" label="epsilon" optional="true" help="Fuzz factor. If `None`, defaults to `K.epsilon()`"/>-->
889 <param argument="schedule_decay" type="float" value="0.004" optional="true" label="schedule_decay" help="float, 0 &lt; beta &lt; 1."/> 889 <param argument="schedule_decay" type="float" value="0.004" optional="true" label="schedule_decay" help="float, 0 &lt; beta &lt; 1."/>
890 </expand> 890 </expand>
891 </when> 891 </when>
892 </conditional> 892 </conditional>
893 <param name="metrics" type="select" optional="true" multiple="true" label="Select metrics"> 893 <param name="metrics" type="select" optional="true" multiple="true" label="Select metrics">