# HG changeset patch
# User bgruening
# Date 1653650598 0
# Node ID 75e5d3723bd1c819b622d65e2d95426849eb9b6f
# Parent  d3a26bb8fec1d3ce98fe1808a8aa0f7a30902aed
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 8850f42c2c3763e614f7454c9c006f3d2ff572c0

diff -r d3a26bb8fec1 -r 75e5d3723bd1 keras_macros.xml
--- a/keras_macros.xml	Fri Aug 27 08:34:46 2021 +0000
+++ b/keras_macros.xml	Fri May 27 11:23:18 2022 +0000
@@ -36,7 +36,7 @@
       <option value="tanh" selected="@TANH@">tanh</option>
       <option value="sigmoid">sigmoid</option>
       <option value="hard_sigmoid">hard_sigmoid</option>
-      <option value="exponential">tanh</option>
+      <option value="exponential">exponential</option>
     </param>
   </xml>
 
@@ -701,7 +701,14 @@
   <!--Simple key words text parameters, conbined to reduce UI latency-->
 
   <xml name="simple_kwargs" token_help="Leave blank for default.">
-    <param argument="kwargs" type="text" value="" label="Type in key words arguments if different from the default" help="@HELP@"/>
+    <param argument="kwargs" type="text" value="" label="Type in key words arguments if different from the default" help="@HELP@">
+      <sanitizer>
+        <valid initial="default">
+          <add value="&apos;" />
+          <add value="&quot;" />
+        </valid>
+      </sanitizer>
+    </param>
   </xml>
 
   <!-- Keras CallBacks -->
@@ -897,7 +904,7 @@
         <option value="sparse_categorical_accuracy">sparse_categorical_accuracy</option>
         <option value="mse">mse / MSE / mean_squared_error</option>
         <option value="mae">mae / MAE / mean_absolute_error</option>
-        <option value="mae">mape / MAPE / mean_absolute_percentage_error</option>
+        <option value="mape">mape / MAPE / mean_absolute_percentage_error</option>
         <option value="cosine_proximity">cosine_proximity</option>
         <option value="cosine">cosine</option>
         <option value="none">none</option>
@@ -982,4 +989,4 @@
     </citation>
   </xml>
 
-</macros>
\ No newline at end of file
+</macros>
diff -r d3a26bb8fec1 -r 75e5d3723bd1 to_categorical.xml
--- a/to_categorical.xml	Fri Aug 27 08:34:46 2021 +0000
+++ b/to_categorical.xml	Fri May 27 11:23:18 2022 +0000
@@ -69,7 +69,7 @@
 Converts a class vector (integers) to binary class matrix.
 
 tf.keras.utils.to_categorical(
-    y, num_classes=None, dtype='float32'
+y, num_classes=None, dtype='float32'
 )
 
 E.g. for use with categorical_crossentropy.