Mercurial > repos > bgruening > scipy_sparse

changeset 12:712b1cac1686 draft

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planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2e1e78576b38110cf5b1f2ed83b08b9c3a6cbfee
author bgruening
date Sat, 28 Apr 2018 18:06:37 -0400
parents e12cca6851d2
children 9a701331ddd4
files main_macros.xml test-data/mv_result01.tabular test-data/mv_result02.tabular test-data/mv_result03.tabular test-data/mv_result04.tabular test-data/mv_result05.tabular test-data/mv_result06.tabular test-data/regression_metrics_result01 test-data/regression_metrics_result02 test-data/regression_metrics_result03 test-data/regression_metrics_result04 test-data/regression_metrics_result05 test-data/regression_metrics_result06 test-data/regression_test_y.tabular
diffstat 14 files changed, 144 insertions(+), 0 deletions(-) [+]
line wrap: on
line diff
--- a/main_macros.xml	Thu Apr 12 08:21:12 2018 -0400
+++ b/main_macros.xml	Sat Apr 28 18:06:37 2018 -0400
@@ -423,8 +423,10 @@
 
   <xml name="clf_inputs" token_label1="Dataset containing true labels (tabular):" token_label2="Dataset containing predicted values (tabular):" token_multiple1="False" token_multiple="False">
     <param name="infile1" type="data" format="tabular" label="@LABEL1@"/>
+    <param name="header1" type="boolean" optional="True" truevalue="booltrue" falsevalue="boolfalse" checked="False" label="Does the dataset contain header:" />
     <param name="col1" multiple="@MULTIPLE1@" type="data_column" data_ref="infile1" label="Select the target column:"/>
     <param name="infile2" type="data" format="tabular" label="@LABEL2@"/>
+    <param name="header2" type="boolean" optional="True" truevalue="booltrue" falsevalue="boolfalse" checked="False" label="Does the dataset contain header:" />
     <param name="col2" multiple="@MULTIPLE@" type="data_column" data_ref="infile2" label="Select target column(s):"/>
   </xml>
 
@@ -835,6 +837,21 @@
     </conditional>
   </xml>
 
+  <xml name="model_validation_common_options">
+    <param argument="cv" type="integer" value="" optional="true" label="cv" help="The number of folds in a (Stratified)KFold" />
+    <expand macro="n_jobs"/>
+    <expand macro="verbose"/>
+    <yield/>
+  </xml>
+
+  <xml name="scoring">
+    <param argument="scoring" type="text" value="" optional="true" label="scoring" help="A metric used to evaluate the estimator"/>
+  </xml>
+
+  <xml name="pre_dispatch">
+    <param argument="pre_dispatch" type="text" value="all" optional="true" label="pre_dispatch" help="Number of predispatched jobs for parallel execution"/>
+  </xml>
+
   <!-- Outputs -->
 
   <xml name="output">
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/mv_result01.tabular	Sat Apr 28 18:06:37 2018 -0400
@@ -0,0 +1,3 @@
+0.9452947345848994
+0.9926363525448115
+-0.4384003222944141
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/mv_result02.tabular	Sat Apr 28 18:06:37 2018 -0400
@@ -0,0 +1,10 @@
+1.6957921248350636
+-0.9248588846061156
+-0.48640795813792376
+0.647707440306449
+0.32740690920811427
+-0.8229559569886034
+1.2150108977866847
+0.14723254190255275
+0.6053186541119763
+0.3972102859168325
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/mv_result03.tabular	Sat Apr 28 18:06:37 2018 -0400
@@ -0,0 +1,3 @@
+0.9452947345848994
+0.9926363525448115
+-0.4384003222944141
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/mv_result04.tabular	Sat Apr 28 18:06:37 2018 -0400
@@ -0,0 +1,5 @@
+17
+56
+95
+134
+174
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/mv_result05.tabular	Sat Apr 28 18:06:37 2018 -0400
@@ -0,0 +1,1 @@
+0.4998435882784322
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/mv_result06.tabular	Sat Apr 28 18:06:37 2018 -0400
@@ -0,0 +1,5 @@
+0.07547169811320754	0.10344827586206896	0.10294117647058823
+0.07547169811320754	0.10344827586206896	0.10294117647058823
+0.07547169811320754	0.10344827586206896	0.10294117647058823
+0.07547169811320754	0.10344827586206896	0.10294117647058823
+0.07547169811320754	0.10344827586206896	0.10294117647058823
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/regression_metrics_result01	Sat Apr 28 18:06:37 2018 -0400
@@ -0,0 +1,2 @@
+explained_variance_score : 
+0.8260
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/regression_metrics_result02	Sat Apr 28 18:06:37 2018 -0400
@@ -0,0 +1,2 @@
+mean_absolute_error : 
+3.8706
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/regression_metrics_result03	Sat Apr 28 18:06:37 2018 -0400
@@ -0,0 +1,2 @@
+mean_squared_error : 
+26.0153
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/regression_metrics_result04	Sat Apr 28 18:06:37 2018 -0400
@@ -0,0 +1,2 @@
+mean_squared_log_error : 
+0.0061
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/regression_metrics_result05	Sat Apr 28 18:06:37 2018 -0400
@@ -0,0 +1,2 @@
+median_absolute_error : 
+3.0090
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/regression_metrics_result06	Sat Apr 28 18:06:37 2018 -0400
@@ -0,0 +1,2 @@
+r2_score : 
+0.8129
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/regression_test_y.tabular	Sat Apr 28 18:06:37 2018 -0400
@@ -0,0 +1,88 @@
+actual	prediction
+66	69.857
+61	61.319
+52	51.891
+66	61.321
+70	66.463
+82	70.162
+85	78.848
+84	75.786
+65	62.121
+92	74.078
+61	63.647
+85	72.176
+44	38.458
+65	62.433
+69	71.594
+62	56.013
+64	60.943
+56	56.995
+53	56.748
+79	76.113
+63	63.758
+57	54.401
+67	66.493
+62	62.465
+59	58.786
+56	53.032
+65	66.769
+52	46.448
+66	62.122
+76	80.176
+64	73.833
+61	64.313
+48	55.188
+81	81.972
+77	74.178
+57	61.695
+58	53.636
+47	51.424
+68	68.929
+51	42.452
+77	70.385
+56	57.373
+73	76.172
+51	42.396
+59	61.098
+87	74.08
+58	52.745
+81	81.381
+58	53.324
+42	42.471
+49	46.507
+40	42.106
+65	64.17
+64	65.703
+70	74.13
+65	61.339
+53	55.177
+57	59.945
+53	54.651
+60	59.664
+67	65.474
+49	50.061
+53	60.849
+69	70.188
+55	60.062
+68	59.236
+76	71.868
+69	69.796
+78	76.83
+36	41.32
+74	76.868
+57	56.783
+69	60.378
+50	50.468
+56	54.426
+67	63.991
+48	43.711
+80	74.354
+48	47.306
+49	52.326
+57	53.526
+77	68.21
+81	73.607
+67	72.658
+66	63.243
+57	57.126
+45	46.04