Closed mrucker closed 2 years ago
Merging #15 (4f679fb) into master (207d6d4) will increase coverage by
0.00%
. The diff coverage is100.00%
.
@@ Coverage Diff @@
## master #15 +/- ##
========================================
Coverage 99.82% 99.83%
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Files 50 49 -1
Lines 4092 4239 +147
========================================
+ Hits 4085 4232 +147
Misses 7 7
Flag | Coverage Δ | |
---|---|---|
unittest | 99.83% <100.00%> (+<0.01%) |
:arrow_up: |
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Impacted Files | Coverage Δ | |
---|---|---|
coba/encodings.py | 100.00% <100.00%> (ø) |
|
coba/environments/__init__.py | 100.00% <100.00%> (ø) |
|
coba/environments/core.py | 100.00% <100.00%> (ø) |
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coba/environments/filters.py | 100.00% <100.00%> (ø) |
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coba/environments/simulated/synthetics.py | 100.00% <100.00%> (ø) |
|
coba/learners/bandit.py | 100.00% <100.00%> (ø) |
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coba/learners/linucb.py | 100.00% <100.00%> (ø) |
|
coba/learners/vowpal.py | 100.00% <100.00%> (ø) |
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This pull request contains two new Synthetic Environments:
This pull request also contains an update to an existing Synthetic Environments:
In addition the Environment changes two new EnvironmentFilters were also added: Noise and Riffle. These filters were added to support more sophisticated experiments when attempting to understand Learner performance and Learner robustness in the face of adverse scenarios.
Finally, moving away from Environments, this pull request also contains several improvements to Learners. A number of bugs with LinUCBLearner were fixed. The default parameterization of LinUCBLearner was improved. Default paramaterization was added to the EpsilonBanditLearner. And parameter options for the VW learners was simplified in the hopes of making VW more accessible to new users.