Mercurial > repos > bgruening > sklearn_clf_metrics
diff clf_metrics.xml @ 25:4e0b0a6a89a6 draft
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
author | bgruening |
---|---|
date | Tue, 14 May 2019 17:52:21 -0400 |
parents | 77dc53da2d1b |
children | a0635108f6ec |
line wrap: on
line diff
--- a/clf_metrics.xml Sun Dec 30 01:43:13 2018 -0500 +++ b/clf_metrics.xml Tue May 14 17:52:21 2019 -0400 @@ -19,9 +19,11 @@ import json import pandas import numpy as np +import sys from sklearn import metrics -exec(open("$__tool_directory__/utils.py").read(), globals()) +sys.path.insert(0, '$__tool_directory__') +from utils import read_columns input_json_path = sys.argv[1] with open(input_json_path, "r") as param_handler: @@ -39,8 +41,7 @@ c_option = column_option, sep='\t', header=header, - parse_dates=True -) + parse_dates=True) header='infer' if params["clf_metrics"].get("header2", None) else None column_option = params["clf_metrics"]["column_selector_options_2"]["selected_column_selector_option2"] @@ -54,8 +55,7 @@ c_option = column_option, sep='\t', header=header, - parse_dates=True -) + parse_dates=True) options = params["clf_metrics"].get("options", {}) print(options)