v0.6.0

🆕 New algorithms, cleanup and bug fixes 🏗

• Fix/stopping checks by @mdbenito in #283
• Fix Monte Carlo Least Core error when n_iterations < len(dataset) by @AnesBenmerzoug in #281
• Hide parallel backend in tmcs main function by @mdbenito in #293
• Cosmetic changes to Dataset by @mdbenito in #290
• Refactor/nicer imports by @mdbenito in #284
• Fix StandardError stopping criterion by @mdbenito in #300
• Remove unpackable decorator, use asdict() by @mdbenito in #233
• Add burn-in param to AbsoluteStandardError by @mdbenito in #305
• Remove default non-negativity constraint on least core subsidy by @AnesBenmerzoug in #304
• Close #280: Add py.typed by @mdbenito in #307
• Minor docstring and cosmetic changes by @mdbenito in #317
• Allow passing additional kwargs to Dataset class' classmethods by @AnesBenmerzoug in #316
• Semi-values and samplers by @mdbenito in #319
• Remove bogus iter method. by @kosmitive in #326
• Improvements to ValuationResult by @mdbenito in #327

Full Changelog: v0.5.0...v0.6.0