0.1.7

⚒️ Fixed

• Issue #19 , #20 , #21 ;
• Removed FALCONN and SCANN
• Refined dependencies
• Removed Optuna injection
• Fixed typos
• Reports

➕ Added

• New utilities to docs

⚠️ Issues

• None

Full Changelog: 0.1.6...0.1.7

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Authored by @Nikoletos-K

0.1.6

⚒️ Fixed

• Issue #16 ;
• Typos in clustering.py
• Datamodel gt initialization
• Imports in utils
• Bugs in NN-workflow
• Bugs and evaluation of simple Schema Clustering

➕ Added

• Dataframe memory consumption
• New Schema Clustering method for RDF data [Not final implementation - alpha version]

⚠️ Issues

• SCANN and FALCONN produce warnings

Full Changelog: 0.1.5...0.1.6

---

Authored by @Nikoletos-K

0.1.5

⚒️ Fixed

• Schema Matching structure [ @Nikoletos-K ]

➕ Added

• First working version of Schema Clustering [ @Nikoletos-K ]
• vector_based_blocking component: SCANN/FAISS full functionality on Linux OS only! [ @JacobMaciejewski ]
• RowColumnClustering: new clustering algorithm [ @JacobMaciejewski ]

⚠️ Issues

• Minor changes in ProgressiveWorkFlow(PYJEDAIWorkFlow). [ @JacobMaciejewski ]

0.1.4

⚒️ 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

0.1.3

⚒️ Fixed

• None

➕ Added

• Clustering algorithms: [ Author: @JacobMaciejewski 📌 ]

  • EquivalenceCluster
  • ExtendedSimilarityEdge
  • Vertex
  • RicochetCluster
  • ExactClustering
  • CenterClustering
  • BestMatchClustering
  • MergeCenterClustering
  • CorrelationClustering
  • CutClustering
  • MarkovClustering
  • KiralyMSMApproximateClustering
  • RicochetSRClustering

• Blocking:

  • Statistics

⚠️ Issues

• None

0.1.2

⚒️ 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.

0.1.1

⚒️ Fixed

• Removed deprecated whoosh imports from prioritization file

➕ Added

• None

⚠️ Issues

• None

0.1.0

⚒️ 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

0.0.9

⚒️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

0.0.8

Fixed:

• Word grams tokenization
• Code architecture in entity matching
• py_stringmatching dependencies
• Pypi readme

Added:

• Boolean/Tfidf/Tf weights