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base repository: google/vizier
base: v0.1.17
head repository: google/vizier
compare: v0.1.18
- 19 commits
- 13 files changed
- 8 contributors
Commits on Jul 12, 2024
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Fix bug in predict method of gp_bandit.py (not able to pass rng)
PiperOrigin-RevId: 651840206
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Commits on Jul 17, 2024
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Fix xlabel and debug state analyzer histogram plot.
PiperOrigin-RevId: 653325165
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Commits on Jul 19, 2024
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Make the client test fixture class generic so subclasses can write pl…
…atform-specific tests. PiperOrigin-RevId: 653999840
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Commits on Jul 21, 2024
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Add return type of fig for plotting.
PiperOrigin-RevId: 654506933
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Commits on Jul 25, 2024
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[numpy] Fix users of NumPy APIs that are removed in NumPy 2.0.
This change migrates users of APIs removed in NumPy 2.0 to their recommended replacements (https://numpy.org/devdocs/numpy_2_0_migration_guide.html). PiperOrigin-RevId: 655931201
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Commits on Jul 26, 2024
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In the Halton quasi-random sampler, we were requesting D samples when…
… we only needed one. This wastes compute, and (worse than that) caused the quasi-random sampler to sample only part of the search space. PiperOrigin-RevId: 656423366
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Commits on Jul 29, 2024
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Relax numerical tolerance in preparation for xla:cpu update
New xla:cpu runtime leads to small numerical differences that cause test to fail. Relax max_relative_error in preparation for the switch. PiperOrigin-RevId: 657180364
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Commits on Aug 3, 2024
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1. Add AcquisitionOverScalarized (Scalarize distributions first to ob…
…tain scalar, then get UCB) 2. Put this into VizierGPBandit for experimentation. Needs to be pushed to Github to allow XCloud runs. PiperOrigin-RevId: 659005571
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Merge pull request #1153 from google/test_659005571
1. Add AcquisitionOverScalarized (Scalarize distributions first to obtain scalar, then get UCB)
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1. Add AcquisitionOverScalarized (Scalarize distributions first to ob…
…tain scalar, then get UCB) 2. Put this into VizierGPBandit for experimentation. Needs to be pushed to Github to allow XCloud runs. 3. Enforce inputs to hypervolume scalarization are always non-negative using clipping. Required for the `AcquisitionOverScalarized` case; otherwise negative samples can wreck everything. PiperOrigin-RevId: 659005571
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Merge pull request #1154 from google/test_659005571
1. Add AcquisitionOverScalarized (Scalarize distributions first to obtain scalar, then get UCB)
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Commits on Aug 6, 2024
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PiperOrigin-RevId: 659964132
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Remove Scalarize-then-UCB code (we have it for PyPI upload anyways). …
…Rename ScalarizedAcquisition. Prepare for 0.1.18 which fixes quasi-random and designer.predict() PiperOrigin-RevId: 659969619
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