version 0.11.2

Fix license identifier for Zenodo.

version 0.11.1

• Creates .zenodo.json
• Fixes docs building

version 0.11.0

Since 0.10.0 we fixed the following issues:

• #273 add minimum number of points parameter to AverageLearner
• #225 Error on windows: daemonic processes are not allowed to have children Runner bug
• #267 Make Runner work with unhashable points Runner enhancement
• #249 ipyparallel fails in Python 3.8 bug
• #258 Release v0.10
• #250 live_info looks is badly formatted in Jupyterlab
• #233 SKOptLearner doesn't work for multi variate domain
• #184 Time-based stop Runner enhancement
• #206 Does not work with lambda functions

and merged the following Pull requests:

• #278 prevent ImportError due to scikit-optimize and sklearn incompatibility
• #274 AverageLearner: implement min_npoints AverageLearner enhancement
• #268 make the Runner work with unhashable points Runner enhancement
• #264 make learners picklable
• #270 minimally require ipyparallel 6.2.5
• #261 fix docs build and pin pyviz_comms=0.7.2
• #263 add support for loky
• #245 Optimize circumsphere and triangulation.py

and closed

• #266 Make SequenceLearner points hashable by passing the sequence to the function.
• #169 add building of test documentation of RTD
• #262 test what happens in CI when trying to force-push

version v0.10.0

Since 0.9.0 we fixed the following issues:

• #217 Command-line tool
• #211 Defining inside main() in multiprocess will report error
• #208 Inquiry on implementation of parallelism on the cluster
• #207 PyYAML yaml.load(input) Deprecation
• #203 jupyter-sphinx update Documentation enhancement
• #199 jupyter-sphinx is pinned to non-existing branch

and merged the following Pull requests:

• #257 add instructions for installing labextensions for Jupyterlab
• #255 MNT: add vscode config directory to .gitignore
• #253 disable test of runner using distributed
• #252 color the overhead between red and green
• #251 improve the style of the live_info widget, closes #250
• #247 use tox, closes #238
• #246 add a Pull Request template
• #241 rename learner.ipynb -> example-notebook.ipynb
• #239 correct short description in setup.py
• #237 Power up pre-commit
• #235 add a section of "How to cite" Adaptive
• #234 Fix SKOptLearner for multi variate domain (issue #233)
• #229 add a time-base stopping criterion for runners
• #224 update packages in tutorial's landing page
• #222 add _RequireAttrsABCMeta and make the BaseLearner use it
• #221 2D: add triangle_loss

@akhmerov, you opted for a patch release, but we didn't put anything in stable. Since there are quite a lot of changes I think it warrants a new release. Also, we are below 1.0, so we can do anything we want 😄

version 0.9.0

Since 0.8.0 we fixed the following issues:

• #217 Command-line tool
• #211 Defining inside main() in multiprocess will report error
• #208 Inquiry on implementation of parallelism on the cluster
• #207 PyYAML yaml.load(input) Deprecation
• #203 jupyter-sphinx update Documentation enhancement
• #199 jupyter-sphinx is pinned to non-existing branch

and merged the following Pull requests:

• #219 pass value_scale to the LearnerND's loss_per_simplex function
• #209 remove MPI4PY_MAX_WORKERS where it's not used
• #204 use jupyter_sphinx v0.2.0 from conda instead of my branch
• #200 ensure atomic writes when saving a file
• #193 Add a SequenceLearner
• #188 BalancingLearner: add a "cycle" strategy, sampling the learners one by one
• #202 Authors
• #201 Update tutorial.parallelism.rst
• #197 Add option to display a progress bar when loading a BalancingLearner
• #195 don't treat the no data case differently in the Learner1D Learner1D
• #194 pin everything in the docs/environment.yml file

version 0.8.0

Since 0.7.0 we fixed the following issues:

• #7 suggested points lie outside of domain Learner2D
• #39 What should learners do when fed the same point twice
• #159 BalancingLearner puts all points in the first child-learner when asking for points with no data present
• #148 Loading data file with no data results in an error for the BalancingLearner
• #145 Returning np.nan breaks the 1D learner
• #54 Make learnerND datastructures immutable where possible
• gitlab:#134 Learner1D.load throws exception when file is empty
• #166 live_plot broken with latest holoviews and bokeh
• #156 Runner errors for Python 3.7 when done
• #159 BalancingLearner puts all points in the first child-learner when asking for points with no data present
• #171 default loss of LearnerND changed?
• #163 Add a page to the documentation of papers where adaptive is used
• #179 set python_requires in setup.py
• #175 Underlying algorithm and MATLAB integration

and merged the following Pull requests:

• gitlab:!141: change the simplex_queue to a SortedKeyList
• gitlab:!142: make methods private in the LearnerND, closes #54
• #162 test flat bands in the LearnerND
• #161 import Iterable and Sized from collections.abc
• #160 Distribute first points in a BalancingLearner
• #153 invoke conda directly in CI
• #152 fix bug in curvature_loss Learner1D bug
• #151 handle NaN losses and add a test, closes #145
• #150 fix _get_data for the BalancingLearner
• #149 handle empty data files when loading, closes #148
• #147 remove _deepcopy_fix and depend on sortedcollections >= 1.1
• #168 Temporarily fix docs
• #167 fix live_plot
• #164 do not force shutdown the executor in the cleanup
• #172 LearnerND: change the required loss to 1e-3 because the loss definition changed
• #177 use the repo code in docs execute
• #176 do not inline the HoloViews JS
• #174 add a gallery page of Adaptive uses in scientific works
• #170 Add logo to the documentation
• #180 use setup(..., python_requires='>=3.6'), closes #179
• #182 2D: do not return points outside the bounds, closes #181 bug
• #185 Add support for neighbours in loss computation in LearnerND
• #186 renormalize the plots value axis on every update
• #189 use pytest rather than py.test
• #190 add support for mpi4py

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