Pyjedai

⚒️ Fixed
- Correlation Clustering method.
- nltk.download('stopwords') download only when needed.
- Schema Matching component to align with the latest version of Valentine.

➕ Added
- datamodel.py: SchemaData for Schema Matching Component
- ‼️ New Component; **pyJedAI Spatial**, for **Interlinking geospatial RDF data**. [ IordanisT ]
- SCANN functionality, only available for Linux OS. [ JacobMaciejewski ]

⚠️ Issues
- None

⚒️ Fixed
- None

➕ Added
- Clustering algorithms: **[ Author: JacobMaciejewski 📌 ]**
- **EquivalenceCluster**
- **ExtendedSimilarityEdge**
- **Vertex**
- **RicochetCluster**
- **ExactClustering**
- **CenterClustering**
- **BestMatchClustering**
- **MergeCenterClustering**
- **CorrelationClustering**
- **CutClustering**
- **MarkovClustering**
- **KiralyMSMApproximateClustering**
- **RicochetSRClustering**

- Blocking:
- Statistics

⚠️ Issues
- None

⚒️ Fixed
- Fixed export methods. Use case of not providing a ground-truth
- Time of vectorization by saving and retrieving the distance matrix
- Bug resolution in PER indexing, Dirty ER
- Speed/Memory optimizations in NN Blocking & Join PER

➕ Added
- 'sqeuclidean' metric in matching step
- Valentine as a Schema Matching plugin
- Frequency Evaluator compatible with base ER matching

⚠️ Issues
- Vectorizers (tfidf, etc) don't support dirty er. Will be fixed in the next release.

⚒️ Fixed
- Removed deprecated whoosh imports from prioritization file

➕ Added
- None

⚠️ Issues
- None

⚒️ Fixed
- Restructured Matching Module - vectorizer, tokenizer, and qgrams as arguments (not inferred)
- Clustering step randomization bug

➕ Added
- PER notebook tutorials
- PER grid-search pipeline (config files, search scripts, storage)
- PER workflows visualization and comparison through:
- feature configuration budget-centric metric progress plots
- feature configuration dataset-centric sorting and comparison

⚠️ Issues
- None

⚒️Fixed:
- FAISS euclidean distance
- Workflow methods
- Removed whoosh
- Removed SCANN

➕Added:
- 3 New workflow methods
- Export pairs in each step
- Tfidf weights in matching options
- Website:
- code API
- new tutorials

⚠️ Issues:
- None