v0.1.8

What's Changed

• fix init.py by @utkarshp1161 in #84
• Streamline usage of BNNs in DKL by @ziatdinovmax in #89
• Add a standalone BNN by @ziatdinovmax in #91
• Fix predictions with structured probabilistic model by @ziatdinovmax in #93
• Move 'priors' out of 'utils' and turn them into a separate module by @ziatdinovmax in #94

New Contributors

• @utkarshp1161 made their first contribution in #84

Full Changelog: 0.1.7...0.1.8

v0.1.7

What's Changed

• Add inducing inputs-based sparse GP by @ziatdinovmax in #81
• Update viGP example

Full Changelog: 0.1.6...0.1.7

v0.1.6

What's Changed

• Make usage of BNN in DKL optional by @ziatdinovmax in #78
• Update/improve documentation by @ziatdinovmax in #79
• Add cBO (1D Problem) by @arpanbiswas52 in #76

New Contributors

• @arpanbiswas52 made their first contribution in #76

Full Changelog: 0.1.5...0.1.6

v0.1.5

What's Changed

• Add a notebook with an example of MeasuredNoiseGP by @ziatdinovmax in #71
• Extend UIGP to multiple uncertain input parameters (with different input variances) by @ziatdinovmax in #74

Full Changelog: 0.1.4...0.1.5

v0.1.4

What's Changed

• UIGP by @ziatdinovmax in #66
  Extends the standard Gaussian Process model to handle uncertain (stochastic) inputs.
• MeasuredNoiseGP by @ziatdinovmax in #69
  Extends the standard GP model by allowing the inclusion of measured noise variances. Unlike standard GP models where noise is typically inferred, this model uses noise values obtained from repeated measurements at the same input points.

Full Changelog: 0.1.2...0.1.4

v0.1.2

What's Changed

• Continuous acquisition function optimization by @ziatdinovmax in #65
• Add notebook comparing the results of ExactGP and viGP by @matthewcarbone in #50
• Notebook rework for smoke tests by @matthewcarbone in #60

Full Changelog: 0.1.1...0.1.2

v0.1.1

What's Changed

• Add notebook smoke tests, QOL changes, part 2 by @matthewcarbone in #39
• Add heteroskedastic Gaussian process by @ziatdinovmax in #44. See tutorial.
• Utilities for simplifying assignment of priors by @ziatdinovmax in #45
• Utilities for easy specification of custom kernels by @ziatdinovmax in #47

New Contributors

• @matthewcarbone made their first contribution in #39

Full Changelog: 0.1.0...0.1.1

v0.1.0

What's Changed

• Add batched acquisition functions and knowledge gradient by @ziatdinovmax in #37
• Improved documentation

Full Changelog: 0.0.8...0.1.0

v0.0.8

What's Changed

• Multi-fidelity/task DKL and GP by @ziatdinovmax in #29
• Add acquisition function penalties by @ziatdinovmax in #31
• Minor bug fixes for viDKL and viGP by @ziatdinovmax in #32

Full Changelog: 0.0.7...0.0.8

v0.0.7

Minor release:

• Optional distance-based penalty term for the acquisition functions
• Variational inference approximation of GP for fast image/spectral reconstruction
• Minor bug fixes and updated tutorials