Mercurial > repos > bgruening > sklearn_discriminant_classifier
comparison discriminant.xml @ 29:f981bbb3548b draft
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
author | bgruening |
---|---|
date | Tue, 14 May 2019 17:55:24 -0400 |
parents | 997fef0af711 |
children | 3b7219e0c6cf |
comparison
equal
deleted
inserted
replaced
28:997fef0af711 | 29:f981bbb3548b |
---|---|
13 </command> | 13 </command> |
14 <configfiles> | 14 <configfiles> |
15 <inputs name="inputs"/> | 15 <inputs name="inputs"/> |
16 <configfile name="discriminant_script"> | 16 <configfile name="discriminant_script"> |
17 <![CDATA[ | 17 <![CDATA[ |
18 import sys | |
19 import json | 18 import json |
20 import numpy as np | 19 import numpy as np |
20 import pandas | |
21 import pickle | |
21 import sklearn.discriminant_analysis | 22 import sklearn.discriminant_analysis |
22 import pandas | 23 import sys |
23 | 24 |
24 with open("$__tool_directory__/sk_whitelist.json", "r") as f: | 25 sys.path.insert(0, '$__tool_directory__') |
25 sk_whitelist = json.load(f) | 26 from utils import load_model, get_X_y |
26 exec(open("$__tool_directory__/utils.py").read(), globals()) | |
27 | 27 |
28 input_json_path = sys.argv[1] | 28 input_json_path = sys.argv[1] |
29 with open(input_json_path, "r") as param_handler: | 29 with open(input_json_path, "r") as param_handler: |
30 params = json.load(param_handler) | 30 params = json.load(param_handler) |
31 | 31 |