Mercurial > repos > bgruening > sklearn_numeric_clustering
comparison numeric_clustering.xml @ 23:9d234733ccfd draft
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 57f4407e278a615f47a377a3328782b1d8e0b54d
author | bgruening |
---|---|
date | Sun, 30 Dec 2018 01:55:30 -0500 |
parents | 1d6d938e7ee2 |
children | abb5a3f256e3 |
comparison
equal
deleted
inserted
replaced
22:f1ef5f9320d7 | 23:9d234733ccfd |
---|---|
33 my_class = getattr(sklearn.cluster, selected_algorithm) | 33 my_class = getattr(sklearn.cluster, selected_algorithm) |
34 cluster_object = my_class() | 34 cluster_object = my_class() |
35 options = params["input_types"]["algorithm_options"]["options"] | 35 options = params["input_types"]["algorithm_options"]["options"] |
36 | 36 |
37 cluster_object.set_params(**options) | 37 cluster_object.set_params(**options) |
38 if 'n_jobs' in cluster_object.get_params(): | |
39 cluster_object.set_params( n_jobs=N_JOBS ) | |
38 | 40 |
39 #if $input_types.selected_input_type == "sparse": | 41 #if $input_types.selected_input_type == "sparse": |
40 data_matrix = mmread("$infile") | 42 data_matrix = mmread("$infile") |
41 #else: | 43 #else: |
42 data = pandas.read_csv("$infile", sep='\t', header=0, index_col=None, parse_dates=True, encoding=None, tupleize_cols=False ) | 44 data = pandas.read_csv("$infile", sep='\t', header=0, index_col=None, parse_dates=True, encoding=None, tupleize_cols=False ) |
160 <!--param argument="compute_full_tree"--> | 162 <!--param argument="compute_full_tree"--> |
161 <param argument="linkage" type="select" optional="true" label="Linkage" help=""> | 163 <param argument="linkage" type="select" optional="true" label="Linkage" help=""> |
162 <option value="ward" selected="true">ward</option> | 164 <option value="ward" selected="true">ward</option> |
163 <option value="complete">complete</option> | 165 <option value="complete">complete</option> |
164 <option value="average">average</option> | 166 <option value="average">average</option> |
167 <option value="single">single</option> | |
165 </param> | 168 </param> |
166 <!--param argument="pooling_func"--> | 169 <!--param argument="pooling_func"--> |
167 </section> | 170 </section> |
168 </when> | 171 </when> |
169 </conditional> | 172 </conditional> |
281 <param name="eigen_solver" value="arpack"/> | 284 <param name="eigen_solver" value="arpack"/> |
282 <param name="n_neighbors" value="12"/> | 285 <param name="n_neighbors" value="12"/> |
283 <param name="n_clusters" value="4"/> | 286 <param name="n_clusters" value="4"/> |
284 <param name="assign_labels" value="discretize"/> | 287 <param name="assign_labels" value="discretize"/> |
285 <param name="random_state" value="100"/> | 288 <param name="random_state" value="100"/> |
286 <output name="outfile" file="cluster_result12" compare="sim_size" /> | 289 <output name="outfile" file="cluster_result12.txt" compare="sim_size" /> |
287 </test> | 290 </test> |
288 <test> | 291 <test> |
289 <param name="infile" value="numeric_values.tabular" ftype="tabular"/> | 292 <param name="infile" value="numeric_values.tabular" ftype="tabular"/> |
290 <param name="selected_algorithm" value="SpectralClustering"/> | 293 <param name="selected_algorithm" value="SpectralClustering"/> |
291 <param name="selected_input_type" value="tabular"/> | 294 <param name="selected_input_type" value="tabular"/> |