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WIP: unify Learner1D, Learner2D and LearnerND - #220

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jbweston wants to merge 105 commits into

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feature/unify-learners

Open

WIP: unify Learner1D, Learner2D and LearnerND#220
jbweston wants to merge 105 commits into
mainfrom
feature/unify-learners

Commits on Oct 6, 2019
- WIP: add new learner concept and example notebook
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  1e633cd
- WIP: correct implementation of unfinished point removal
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  a5a8f5f
- add necessary information to scale data for loss functions that want to
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  d7cb56c
- start internal queue attributes with underscore
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  a288b64
- recalculate losses when scale increases by a certain factor
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  f2d6125
- blackify
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  5d3c2b1
- make 1D points use floats rather than length-1 tuples
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  9db175a
- correct point insertion logic
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  cdb669d
Commits on Oct 7, 2019
- add parallel example to proof of concept notebook
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  042eba0
- remove superfluous method and docstrings from Interval class
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  84cc671
- import SortedList and SortedDict and update 'insert_points'
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  9c565ce
- fixup docstrings etc.
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  963fb07
- add first implementation of ConvexHull domain
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  eb712b9
Commits on Oct 8, 2019
- make everything work
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  18a88bc
- make everything work again
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  e3fd6cc
- update Interval class
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  632faf9
- add 'remove' method to Domain
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  bd574ab
- implement 'ask(tell_pending=False)'
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  3e27066
- flakify
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  772a5f4
Commits on Oct 9, 2019
- small refactors and comments
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  053ba24
- rename bound_points to boundary_points
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  5e36e24
- do not evaluate boundary points in __init__
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  fd6bce4
- put pending points in separate data structure from data
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  be07de9
- replace '_scaled_loss' with 'priority'
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  d07b9c3
- rename 'self.loss' to 'self.loss_function'
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  df667df
- store priorities as (priority, loss)
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  5377438
- docstring update
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  fec432b
- correctly compute point priorities
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  61bf9df
- refactor comments and fix minor logic bug
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  ce4d9d2
- introduce a dict of losses as an optimization
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  ccabce3
- clarify the ordering of queried items and priorities
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  1434f69
- don't store a tuple as priority, use 'self.losses' from with 'self.loss'
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  cdc6d49
- comments
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  166a912
- make points a tuple as they should be
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  ba5d207
- correctly update pending points and data
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  52fed32
- update example notebook
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  5ea9b56
Commits on Oct 11, 2019
- implement methods 'vertices' and 'subpoints' for 'Domain'
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  224d9ce
- abstract out choosing points in an interval
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  bbed8c6
- catch interface bugs
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  0f59184
- implement '__contains__' for 'ConvexHull'
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  3d88c2c
- use subdomain volume rather than constant for the loss before data is
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  c570cd5
Commits on Oct 12, 2019
- correct implementation of queue
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  207ac47
- black
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  f1fdfee
- fix neighbor detection when adding points
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  bc38a7b
- abstract out making new subtriangulations
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  b3c394d
- black
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  f38e903
- add map from subpoints to subdomains to speed up triangulation splitting
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  0cff467
- separate Queue and Domain into separate modules
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  5d5402b
- add tests for priority queue and domains
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  95c0381
- add hypothesis to test requirements
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  d191e3c
- rename 'sub_domains' to 'sub_triangulations'
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- flake
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- add __all__ to domain.py
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  faf68cc
- use math module
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  5377e69
- docstring formatting
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  4b7f390
- increase allowed time for tests to complete
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  9ed92e8
- remove Queue.priorities method
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  6e95d68
- Queue.items() returns items in priority order
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  5710762
- make LossFunction an ABC
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  3b2d9cd
- allow the learner to take a ConvexHull as bounds
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  fc348b2
- add more comments to the learner
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  953f62d
- show that the new learner works for ND output
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  ebcd6f2
- typo
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  6c07070
- correct sign in simplex boundary equations
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  64a6d0f
- correct abstract loss function interface
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  9624f7f
- rename need_loss_udate_factor
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  0055d57
- correct boundary point choosing logic
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  cc1f83f
- make point adding idempotent in learner
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  19ab936
- fix bugs in 1D domain
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  a0bea12
- fix bug in tell_pending
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  1a84089
- catch edge case in loss
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  bf64362
- implement data saving
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- explicitly set inf
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  6111a7c
- add new learner to some tests (those that it passes)
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  4ede935
- add xfailing tests for new learner
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  6908ec2
- correctly set inf
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  484cebf
- replace Domain.__contains__ with Domain.contains_subdomain
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  460bd2e
- correct implementation of points outside domain
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  929a9fd
- implement method 'Domain.encloses' for finding points inside a domain
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  3696379
Commits on Oct 13, 2019
- allow NewLearnerND to accept points not in the domain
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  7ff9372
- make sure we can ask for more points after adding data outside the
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  3979872
- add new learner to datasaving test
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  bb38de3
- correct conditional
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  60e0a0c
- make 'points_inside' select points from more than 1 subdomain
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  ceaa87d
- correct name of domain test
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  a13711a
- rename point loss to point priority
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  fbbe44a
- do 1 operation per line only
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  d227e1b
- correct docstring
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  9f8774a
- correct test that all internal points are reassigned when splitting
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  6bdbe88
- run all domain tests over random domains, rather than hypercubes
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  32518d1
- update priority queue docstring
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  5d3434d
- neater ordering
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  6efc250
Commits on Oct 14, 2019
- add clarifying comment about adding points to neighboring subdomains
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  06003cb
- add shortcuts when creating triangulations with exactly 1 simplex
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  b4a4814
Commits on Oct 16, 2019
- fix bug where we receive more points than we asked for
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  52175f0
- add learner tests that simulate the runner and randomly asking/telling
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  cdf26a7
- create queue on initialization rather than calling 'insert'
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  011c5f3
- suppress context when raising when an item was not in a queue
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  51901cc
- fix bug in subdomain updating logic when telling data
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  d401cbb
- improve comment
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  445c6f1
- blackify domain.py
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  d41b355
- check that points matrix is well conditioned
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  7430143
Commits on Oct 17, 2019

Commits

Commits on Oct 6, 2019

Commits on Oct 7, 2019

Commits on Oct 8, 2019

Commits on Oct 9, 2019

Commits on Oct 11, 2019

Commits on Oct 12, 2019

Commits on Oct 13, 2019

Commits on Oct 14, 2019

Commits on Oct 16, 2019

Commits on Oct 17, 2019