pyPESTO v0.3.0
New functionalities compared to 0.2.0:
- New supported data types for parameter estimation:
- ordinal data
- censored data
- unbounded parameter optimization
- New optimization approaches:
- Hierarchical optimization
- Spline approximation
- New optimizers: CMA-ES, Enhanced Scatter Search, Fides, NLopt, SACESS, SciPy Differential Evolution
- New samplers: Emcee, Dynesty, Pymc v4
- New Objectives: Aesara objective, Julia objective, Jax objective
- Ensemble analysis
- Model selection
- Predictions
- Hdf5 Storage
Not supported functionalities and versions compared to 0.2.0:
- Removed Python 3.8 and older support
- Pymc (v3)
- Removed Theano objective
- Changed parameter indexing from boolean to int in profiling routines