new version of pip setup

config_files/test_entity2rec.yml

@@ -1,20 +1,20 @@
 experiment:
-  # dataset:
-  #   name: ml-100k
-  #   item: # infos related to item dataset (mandatory, at least item_id)
-  #     path: datasets/ml-100k/processed/item.csv
-  #     extra_features: [movie_year, movie_title] # features(columns) beside item_id to be used
-  #   user: # mandatory (at least user_id)
-  #     path: datasets/ml-100k/processed/user.csv
-  #     extra_features: [gender, occupation] # features beside user_id
-  #   ratings: # mandatory (at least [user_id, item_id, rating])
-  #     path: datasets/ml-100k/processed/rating.csv
-  #     timestamp: True
-  #   enrich:
-  #     map_path: datasets/ml-100k/processed/map.csv
-  #     enrich_path: datasets/ml-100k/processed/enriched.csv
-  #     remove_unmatched: False
-  #     properties: [subject, director, abstract]
+  dataset:
+    name: ml-100k
+    item: # infos related to item dataset (mandatory, at least item_id)
+      path: datasets/ml-100k/processed/item.csv
+      extra_features: [movie_year, movie_title] # features(columns) beside item_id to be used
+    user: # mandatory (at least user_id)
+      path: datasets/ml-100k/processed/user.csv
+      extra_features: [gender, occupation] # features beside user_id
+    ratings: # mandatory (at least [user_id, item_id, rating])
+      path: datasets/ml-100k/processed/rating.csv
+      timestamp: True
+    enrich:
+      map_path: datasets/ml-100k/processed/map.csv
+      enrich_path: datasets/ml-100k/processed/enriched.csv
+      remove_unmatched: False
+      properties: [subject, director, abstract]
   # dataset:
     # name: ml-100k
     # item: # infos related to item dataset (mandatory, at least item_id)
@@ -47,17 +47,17 @@ experiment:
   #     enrich_path: datasets/douban-movie/processed/enriched.csv
   #     remove_unmatched: False
   #     properties: [subject, director, abstract]
-  dataset:
-    name: ml-1m
-    item: # infos related to item dataset (mandatory, at least item_id)
-      path: datasets/ml-1m/processed/item.csv
-      extra_features: [movie_year, movie_title] # features(columns) beside item_id to be used
-    user: # mandatory (at least user_id)
-      path: datasets/ml-1m/processed/user.csv
-      extra_features: [gender, occupation] # features beside user_id
-    ratings: # mandatory (at least [user_id, item_id, rating])
-      path: datasets/ml-1m/processed/rating.csv
-      timestamp: True
+  # dataset:
+  #   name: ml-1m
+  #   item: # infos related to item dataset (mandatory, at least item_id)
+  #     path: datasets/ml-1m/processed/item.csv
+  #     extra_features: [movie_year, movie_title] # features(columns) beside item_id to be used
+  #   user: # mandatory (at least user_id)
+  #     path: datasets/ml-1m/processed/user.csv
+  #     extra_features: [gender, occupation] # features beside user_id
+  #   ratings: # mandatory (at least [user_id, item_id, rating])
+  #     path: datasets/ml-1m/processed/rating.csv
+  #     timestamp: True
 
   preprocess:
     # - method: filter_by_rating

setup.py

@@ -6,7 +6,7 @@
 
 setup(
     name="FranKGraphBench",
-    version="0.1.0",
+    version="0.1.1",
     author="Paulo do Carmo and Alvaro Lopes",
     author_email='[email protected]',
     url='https://github.com/AKSW/frankgraphbench/tree/main/',
@@ -23,7 +23,7 @@
         'gensim', 'joblib', 'networkx==3.1', 'numpy==1.24', 'pandas==2.0', 'python-dateutil', 'pytz', 'PyYAML', 'scikit-learn==1.3', 'scipy==1.10', 'six', 'smart-open',
         'threadpoolctl', 'tqdm', 'tzdata', 'pykeen', 'torch==2.1.2', 'py-cpuinfo', 'gputil', 'psutil', 'sentence-transformers', 'graph-walker', 'isodate==0.6',
         'Levenshtein==0.21', 'pyparsing==3.0', 'python-Levenshtein==0.21', 'rapidfuzz==3.0', 'rdflib==6.3', 'SPARQLWrapper==2.0', 'thefuzz==0.19', 'tzdata==2023.3',
-        'beautifulsoup4', 'matplotlib==3.7', 'contourpy==1.1'
+        'beautifulsoup4', 'matplotlib==3.7', 'contourpy==1.1', 'SPARQLWrapper', 'multiprocess'
     ],
     entry_points={
         'console_scripts': [

src/chart_generation/__init__.py

@@ -3,7 +3,7 @@
 
 from chart_generation.chart2class import chart2class
 
-__version__ = "0.1.0"
+__version__ = "0.1.1"
 __author__ = "Paulo do Carmo and Alvaro Lopes"
 
 def get_chart_class(dataset):

src/data_integration/__init__.py

@@ -3,7 +3,7 @@
 
 from data_integration.dataset2class import dataset2class
 
-__version__ = "0.1.0"
+__version__ = "0.1.1"
 __author__ = "Paulo do Carmo and Alvaro Lopes"
 
 def get_dataset_class(dataset):

src/framework/__init__.py

@@ -1,7 +1,7 @@
 import argparse
 from framework.experiment import run
 
-__version__ = "0.1.0"
+__version__ = "0.1.1"
 __author__ = "Paulo do Carmo and Alvaro Lopes"
 
 def framework():