diff main_macros.xml @ 6:ef0df429fec4 draft

planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 7a31960686122d7e53054fef4996525f04ebd254

--- a/main_macros.xml	Tue Apr 10 15:17:46 2018 -0400
+++ b/main_macros.xml	Thu Apr 12 08:22:05 2018 -0400
@@ -787,6 +787,53 @@
     </when>
     <yield/>
   </xml>
+  <xml name="feature_selection_score_function">
+    <param argument="score_func" type="select" label="Select a score function">
+      <option value="chi2">chi2 - Compute chi-squared stats between each non-negative feature and class</option>
+      <option value="f_classif">f_classif - Compute the ANOVA F-value for the provided sample</option>
+      <option value="f_regression">f_regression - Univariate linear regression tests</option>
+      <option value="mutual_info_classif">mutual_info_classif - Estimate mutual information for a discrete target variable</option>
+      <option value="mutual_info_regression">mutual_info_regression - Estimate mutual information for a continuous target variable</option>
+    </param>
+  </xml>
+  <xml name="feature_selection_estimator">
+    <param argument="estimator" type="select" label="Select an estimator" help="The base estimator from which the transformer is built.">
+      <option value="svm.SVR(kernel=&quot;linear&quot;)">svm.SVR(kernel=&quot;linear&quot;)</option>
+      <option value="svm.SVC(kernel=&quot;linear&quot;)">svm.SVC(kernel=&quot;linear&quot;)</option>
+      <option value="svm.LinearSVC(penalty=&quot;l1&quot;, dual=False, tol=1e-3)">svm.LinearSVC(penalty=&quot;l1&quot;, dual=False, tol=1e-3)</option>
+      <option value="linear_model.LassoCV()">linear_model.LassoCV()</option>
+      <option value="ensemble.RandomForestRegressor(n_estimators = 1000, random_state = 42)">ensemble.RandomForestRegressor(n_estimators = 1000, random_state = 42)</option>
+    </param>
+  </xml>
+  <xml name="feature_selection_extra_estimator">   
+      <param name="has_estimator" type="select" label="Does your estimator on the list above?">
+        <option value="yes">Yes, my estimator is on the list</option>
+        <option value="no">No, I need make a new estimator</option>
+        <yield/>
+      </param>
+  </xml>
+  <xml name="feature_selection_estimator_choices">
+    <when value="yes">
+    </when>
+    <when value="no">
+      <param name="new_estimator" type="text" value="" label="Make a new estimator" />
+    </when>
+    <yield/>
+  </xml>
+  <xml name="feature_selection_methods">
+    <conditional name="select_methods">
+      <param name="selected_method" type="select" label="Select an operation">
+          <option value="fit_transform">fit_transform - Fit to data, then transform it</option>
+          <option value="get_support">get_support - Get a mask, or integer index, of the features selected</option>
+      </param>
+      <when value="fit_transform">
+        <!--**fit_params-->
+      </when>
+      <when value="get_support">
+        <param name="indices" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolfalse" checked="false" label="Indices" help="If True, the return value will be an array of integers, rather than a boolean mask."/>
+      </when>
+    </conditional>
+  </xml>
 
   <!-- Outputs -->