version 0.7.5

fix live_plot

version 0.7.3

Fix copy_from for the BalancingLearner

version 0.7.0

Since 0.6.0 we fixed the following issues:

• #122: Remove public 'fname' learner attribute
• #119: (Learner1D) add possibility to use the direct neighbors in the loss
• #114: (LearnerND) allow any convex hull as domain
• #121: How to handle NaN?
• #107: Make BaseRunner an abstract base class
• #112: (LearnerND) add iso-surface plot feature
• #56: Improve plotting for learners
• #118: widgets don't show up on adaptive.readthedocs.io
• #91: Set up documentation
• #62: AverageLearner math domain error
• #113: make BalancingLearner work with the live_plot
• #111: (LearnerND) flat simplices are sometimes added on the surface of the triangulation
• #103: (BalancingLearner) make new balancinglearner that looks at the total loss rather than loss improvement
• #110: LearnerND triangulation incomplete
• #127: Typo in documentation for adaptive.learner.learner2D.uniform_loss(ip)
• #126: (Learner1D) improve time complexity
• #104: Learner1D could in some situations return -inf as loss improvement, which would make balancinglearner never choose to improve
• #128: (LearnerND) fix plotting of scaled domains
• #78: (LearnerND) scale y-values

and merged the following Merge Requests:

• !131: Resolve "(Learner1D) add possibility to use the direct neighbors in the loss"
• !137: adhere to PEP008 by using absolute imports
• !135: test all the different loss functions in each test
• !133: make 'fname' a parameter to 'save' and 'load' only
• !136: build the Dockerimage used in CI
• !134: change resolution_loss to a factory function
• !118: add 'save' and 'load' to the learners and periodic saving to the Runner
• !127: Resolve "(LearnerND) allow any convex hull as domain"
• !130: save execution time on futures inside runners
• !111: Resolve "Make BaseRunner an abstract base class"
• !124: Resolve "(LearnerND) add iso-surface plot feature"
• !108: exponentially decay message frequency in live_info
• !129: add tutorials
• !120: add documentation
• !125: update to the latest miniver
• !126: add check_whitespace
• !123: add an option to plot a HoloMap with the BalancingLearner
• !122: implement 'npoints' strategy for the 'BalancingLearner'
• !119: (learnerND) no more (almost) flat simplices in the triangulation
• !109: make a BalancingLearner strategy that compares the total loss rather than loss improvement
• !117: Cache loss and display it in the live_info widget
• !121: 2D: add loss that minimizes the area of the triangle in 3D
• !139: Resolve "(Learner1D) improve time complexity"
• !140: Resolve "(LearnerND) fix plotting of scaled domains"
• !128: LearnerND scale output values before computing loss

version 0.6.0

Since 0.5.0 we fixed the following issues:

• #66: (refactor) learner.tell(x, None) might be renamed to learner.tell_pending(x)
• #92: DeprecationWarning: sorted_dict.iloc is deprecated. Use SortedDict.keys() instead.
• #94: Learner1D breaks if right bound is added before the left bound
• #95: Learner1D's bound check algo in self.ask doesn't take self.data or self.pending_points
• #96: Learner1D fails when function returns a list instead of a numpy.array
• #97: Learner1D fails when a point (x, None) is added when x already exists
• #98: Learner1D.ask breaks when adding points in some order
• #99: Learner1D doesn't correctly set the interpolated loss when a point is added
• #101: How should learners handle data that is outside of the domain
• #102: No tests for the 'BalancingLearner'
• #105: LearnerND fails for BalancingLearner test
• #108: (BalancingLearner) loss is cached incorrectly
• #109: Learner2D suggests same point twice

and merged the following Merge Requests:

• !93: add a release guide
• !94: add runner.max_retries
• !95: 1D: fix the rare case where the right boundary point exists before the left bound
• !96: More efficient 'tell_many'
• !97: Fix #97 and #98
• !98: Resolve "DeprecationWarning: sorted_dict.iloc is deprecated. Use SortedDict.keys() instead."
• !99: Resolve "Learner1D's bound check algo in self.ask doesn't take self.data or self.pending_points"
• !100: Resolve "Learner1D doesn't correctly set the interpolated loss when a point is added"
• !101: Resolve "Learner1D fails when function returns a list instead of a numpy.array"
• !102: introduce 'runner.retries' and 'runner.raise_if_retries_exceeded'
• !103: 2D: rename 'learner._interp' to 'learner.pending_points' as in other learners
• !104: Make the AverageLearner only return new points ...
• !105: move specific tests for a particular learner to separate files
• !107: Introduce 'tell_pending' which replaces 'tell(x, None)'
• !112: Resolve "LearnerND fails for BalancingLearner test"
• !113: Resolve "(BalancingLearner) loss is cached incorrectly"
• !114: update release guide to add a 'dev' tag on top of regular tags
• !115: Resolve "How should learners handle data that is outside of the domain"
• !116: 2D: fix #109

New features

• add learner.tell_pending which replaces learner.tell(x, None)
• add error-handling with runner.retries and runner.raise_if_retries_exceeded
• make learner.pending_points and runner.pending_points public API
• rename learner.ask(n, add_data) -> learner.ask(n, tell_pending)
• added the overhead method to the BlockingRunner

Introduce LearnerND, BalancingLearner.from_product, and several bug fixes.

• Introduce LearnerND (beta)
• Add BalancingLearner.from_product (see learner.ipynb or doc-string for useage example)
• runner.live_info() now shows the learner's efficiency
• runner.task.print_stack() now displays the full traceback
• Introduced learner.tell_many instead of having learner.tell figure out whether multiple points are added (#59)
• Fixed a bug that occured when a Learner1D had extremely narrow features

And more bugs, see v0.4.1...v0.5.0

Rename 'choose_points' -> 'ask' and 'add_point', 'add_data' -> 'tell'

and

• several small bug fixes
• add Jorn Hoofwijk as an author

Fixes a bug in the Learner2D

The Learner2D could be left off in an inconsistent state if the
learner's function errored before the bounds function values
were present in learner.data.

Release with correct licensing information

Previously Christoph Groth was not properly attributed for his contributions.

This release also contains a bugfix for Windows users

Initial interface and algorithm proposal

v0.1.0

Initial interface and algorithm proposal