changeset 22:2e69c6ca6e91 draft

planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c64ccc5850c8e061a95fb64e07ed388384e82393
author bgruening
date Thu, 11 Oct 2018 03:34:03 -0400
parents 9ce3e347506c
children 39ae276e75d9
files ensemble.xml test-data/abc_model01 test-data/abc_result01 test-data/abr_model01 test-data/abr_result01 test-data/glm_model08 test-data/glm_result08
diffstat 7 files changed, 47 insertions(+), 3 deletions(-) [+]
line wrap: on
line diff
--- a/ensemble.xml	Sat Sep 29 07:30:08 2018 -0400
+++ b/ensemble.xml	Thu Oct 11 03:34:03 2018 -0400
@@ -292,6 +292,38 @@
             <param name="selected_task" value="load"/>
             <output name="outfile_predict" file="gbc_result01" compare="sim_size" delta="500"/>
         </test>
+        <test>
+            <param name="infile1" value="train.tabular" ftype="tabular"/>
+            <param name="infile2" value="train.tabular" ftype="tabular"/>
+            <param name="col1" value="1,2,3,4"/>
+            <param name="col2" value="5"/>
+            <param name="selected_task" value="train"/>
+            <param name="selected_algorithm" value="AdaBoostClassifier"/>
+            <param name="random_state" value="10"/>
+            <output name="outfile_fit" file="abc_model01" compare="sim_size" delta="500"/>
+        </test>
+        <test>
+            <param name="infile_model" value="abc_model01" ftype="zip"/>
+            <param name="infile_data" value="test.tabular" ftype="tabular"/>
+            <param name="selected_task" value="load"/>
+            <output name="outfile_predict" file="abc_result01" compare="sim_size" delta="500"/>
+        </test>
+        <test>
+            <param name="infile1" value="regression_train.tabular" ftype="tabular"/>
+            <param name="infile2" value="regression_train.tabular" ftype="tabular"/>
+            <param name="col1" value="1,2,3,4,5"/>
+            <param name="col2" value="6"/>
+            <param name="selected_task" value="train"/>
+            <param name="selected_algorithm" value="AdaBoostRegressor"/>
+            <param name="random_state" value="10"/>
+            <output name="outfile_fit" file="abr_model01" compare="sim_size" delta="500"/>
+        </test>
+        <test>
+            <param name="infile_model" value="abr_model01" ftype="zip"/>
+            <param name="infile_data" value="regression_test.tabular" ftype="tabular"/>
+            <param name="selected_task" value="load"/>
+            <output name="outfile_predict" file="abr_result01" compare="sim_size" delta="500"/>
+        </test>
     </tests>
     <help><![CDATA[
 ***What it does***
Binary file test-data/abc_model01 has changed
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/abc_result01	Thu Oct 11 03:34:03 2018 -0400
@@ -0,0 +1,6 @@
+0	1	2	3	predicted
+3.68258022948	2.82110345641	-3.9901407239999998	-1.9523364774	1
+0.015942057224	-0.7119585943469999	0.125502976978	-0.972218263337	0
+2.0869076882499997	0.929399321468	-2.1292408448400004	-1.9971402218799998	1
+1.4132105208399999	0.523750660422	-1.4210539291	-1.49298569451	1
+0.7683140439399999	1.38267855169	-0.989045048734	0.649504257894	1
Binary file test-data/abr_model01 has changed
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/abr_result01	Thu Oct 11 03:34:03 2018 -0400
@@ -0,0 +1,6 @@
+0	1	2	3	4	predicted
+86.97021227350001	1.00532111569	-1.01739601979	-0.613139481654	0.641846874331	0.323842059244
+91.2021798817	-0.6215229712070001	1.11914889596	0.390012184498	1.28956938152	1.1503117056799999
+-47.4101632272	-0.638416457964	-0.7327774684530001	-0.8640261049779999	-1.06109770116	-0.7191695359690001
+61.712804630200004	-1.0999480057700002	-0.739679672932	0.585657963012	1.4890682753600002	1.1503117056799999
+-206.998295124	0.130238853011	0.70574123041	1.3320656526399999	-1.3322092373799999	-0.7191695359690001
Binary file test-data/glm_model08 has changed
--- a/test-data/glm_result08	Sat Sep 29 07:30:08 2018 -0400
+++ b/test-data/glm_result08	Thu Oct 11 03:34:03 2018 -0400
@@ -1,5 +1,5 @@
-3.68258022948	2.82110345641	-3.9901407239999998	-1.9523364774	1
+3.68258022948	2.82110345641	-3.9901407239999998	-1.9523364774	0
 0.015942057224	-0.7119585943469999	0.125502976978	-0.972218263337	0
-2.0869076882499997	0.929399321468	-2.1292408448400004	-1.9971402218799998	1
-1.4132105208399999	0.523750660422	-1.4210539291	-1.49298569451	1
+2.0869076882499997	0.929399321468	-2.1292408448400004	-1.9971402218799998	0
+1.4132105208399999	0.523750660422	-1.4210539291	-1.49298569451	0
 0.7683140439399999	1.38267855169	-0.989045048734	0.649504257894	1