Mercurial > repos > bgruening > sklearn_numeric_clustering
comparison numeric_clustering.xml @ 29:c156b85a6389 draft
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 57f4407e278a615f47a377a3328782b1d8e0b54d
| author | bgruening |
|---|---|
| date | Sun, 30 Dec 2018 01:39:27 -0500 |
| parents | a62c8c1f2ef7 |
| children | 60d80322e1e9 |
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| 28:2c6c3af5a3cf | 29:c156b85a6389 |
|---|---|
| 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"/> |
