0.13.0

📚 Documentation

• refactor/chore: Removing dataset/benchmark upload functions from Python client
  • PR: #289

🧹 Chores

• Refactor/Chore: Remove access parameters in client
  • PR: #290
• refactor/chore: Removing dataset/benchmark upload functions from Python client
  • PR: #289

📦 Other

• Refactor/public bucket access
  • PR: #291

0.12.1

🐛 Fixes

• fix: Allow models to be optional on results v2
  • PR: #287

0.12.0

🚀 Features

• feat: Artifact Versioning
  • PR: #272
• Client: Model artifact remaining changes
  • PR: #271
• feat: Model Versioning
  • PR: #284

🐛 Fixes

• fix: Prevent missing FastPDB on Conda install
  • PR: #282
• Client: Model artifact remaining changes
  • PR: #271

🧹 Chores

• chore: Replace Union with | in type annotations
  • PR: #281

0.11.10

🐛 Fixes

• fix: Extras are not recognized and installed
  • PR: #275

0.11.9

🚀 Features

• feat: Support for Model artifacts
  • PR: #265

🧹 Chores

• chore: Update numpy version restriction
  • PR: #269

0.11.8

📚 Documentation

• Docs: Refactored the documentation and deprecation warnings
  • PR: #267

0.11.7

🐛 Fixes

• Fix: Always pass bytes in the RDKitMolCodec
  • PR: #261
• Fix: UnicodeEncodeError on Windows due to emoji use
  • PR: #264

0.11.6

🚀 Features

• Subset.as_dataframe() hides targets instead of raising an error
  • PR: #258

🧹 Chores

• chore: Update skip condition for integration tests
  • PR: #260

0.11.5

🐛 Fixes

• fix: Replace Halo with rich for CLI spinner and progress tracking
  • PR: #256

🧹 Chores

• chore: Clean up error handling around Hub client requests
  • PR: #253
• Chore: Remove duplicate and unused CompetitionPredictions class
  • PR: #254

0.11.4

🐛 Fixes

• fix: Better handling when no cached token exists, with more decriptive error
  • PR: #252