evaluate_run @ evaluate.py: support for ranks starting at zero (cont.)

README.md

@@ -36,7 +36,7 @@ trained using subsets of the `task1` and `task2` tasks.
 #### Using the `train` subset to train your supervised system
 
 ``` sh
-$ pip install --force-reinstall git+https://github.com/MIR-MU/ARQMath-eval@0.0.16
+$ pip install --force-reinstall git+https://github.com/MIR-MU/ARQMath-eval@0.0.17
 $ python
 >>> from arqmath_eval import get_topics, get_judged_documents, get_ndcg
 >>>
@@ -65,7 +65,7 @@ Here is the documentation of the available evaluation functions:
 #### Using the `validation` subset to compare various parameters of your system
 
 ``` sh
-$ pip install --force-reinstall git+https://github.com/MIR-MU/ARQMath-eval@0.0.16
+$ pip install --force-reinstall git+https://github.com/MIR-MU/ARQMath-eval@0.0.17
 $ python
 >>> from arqmath_eval import get_topics, get_judged_documents
 >>>
@@ -96,7 +96,7 @@ $ git push                                 # publish your new result and the upd
 #### Using the `all` subset to compute the NDCG' score of an ARQMath submission
 
 ``` sh
-$ pip install --force-reinstall git+https://github.com/MIR-MU/ARQMath-eval@0.0.16
+$ pip install --force-reinstall git+https://github.com/MIR-MU/ARQMath-eval@0.0.17
 $ python -m arqmath_eval.evaluate MIRMU-task1-Ensemble-auto-both-A.tsv all
 0.238
 ```

setup.py

@@ -5,7 +5,7 @@ from setuptools import setup
 
 setup(
     name='arqmath_eval',
-    version='0.0.16',
+    version='0.0.17',
     description='Evaluation of ARQMath systems',
     packages=['arqmath_eval'],
     package_dir={'arqmath_eval': 'scripts'},