Merge pull request #7 from NetherlandsForensicInstitute/bugfix/use-de…

…pendency-scikit-learn

Use dependency scikit-learn

requirements.txt

@@ -1,13 +1,13 @@
 #
-# This file is autogenerated by pip-compile with python 3.8
-# To update, run:
+# This file is autogenerated by pip-compile with Python 3.8
+# by the following command:
 #
 #    pip-compile --output-file=requirements.txt setup.py
 #
 attrs==21.4.0
     # via pytest
 confidence==0.12
-    # via LRbenchmark (setup.py)
+    # via lrbenchmark (setup.py)
 cycler==0.11.0
     # via matplotlib
 fonttools==4.30.0
@@ -19,13 +19,13 @@ joblib==1.1.0
 kiwisolver==1.4.0
     # via matplotlib
 lir==0.1.9
-    # via LRbenchmark (setup.py)
+    # via lrbenchmark (setup.py)
 matplotlib==3.5.1
     # via
-    #   LRbenchmark (setup.py)
     #   lir
+    #   lrbenchmark (setup.py)
 more-itertools==8.12.0
-    # via LRbenchmark (setup.py)
+    # via lrbenchmark (setup.py)
 numpy==1.22.3
     # via
     #   lir
@@ -39,7 +39,7 @@ packaging==21.3
     #   matplotlib
     #   pytest
 pandas==1.4.1
-    # via LRbenchmark (setup.py)
+    # via lrbenchmark (setup.py)
 pillow==9.0.1
     # via matplotlib
 pluggy==1.0.0
@@ -51,7 +51,7 @@ pyparsing==3.0.7
     #   matplotlib
     #   packaging
 pytest==7.1.0
-    # via LRbenchmark (setup.py)
+    # via lrbenchmark (setup.py)
 python-dateutil==2.8.2
     # via
     #   matplotlib
@@ -63,21 +63,19 @@ pyyaml==6.0
 scikit-learn==1.0.2
     # via
     #   lir
-    #   sklearn
+    #   lrbenchmark (setup.py)
 scipy==1.8.0
     # via
     #   lir
     #   scikit-learn
     #   xgboost
 six==1.16.0
     # via python-dateutil
-sklearn==0.0
-    # via LRbenchmark (setup.py)
 threadpoolctl==3.1.0
     # via scikit-learn
 tomli==2.0.1
     # via pytest
 tqdm==4.63.0
     # via lir
 xgboost==1.5.2
-    # via LRbenchmark (setup.py)
+    # via lrbenchmark (setup.py)

setup.py

@@ -10,7 +10,7 @@
     'confidence',
     'pytest',
     'matplotlib',
-    'sklearn',
+    'scikit-learn',
     'lir',
     'pandas',
     'xgboost',
@@ -20,7 +20,7 @@
 
 setup(
     name='lrbenchmark',
-    version='0.1.1',
+    version='0.1.2',
     author='Netherlands Forensics Institute',
     description='Benchmarking Likelihood Ratio systems',
     long_description=long_description,