MLOS
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microsoft
MLOS is a project to enable autotuning for systems.
Bumps [numpy](https://github.com/numpy/numpy) from 1.18.1 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...
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Bumps [regex](https://github.com/rust-lang/regex) from 1.5.4 to 1.5.6. Changelog Sourced from regex's changelog. 1.5.6 (2022-05-20) This release includes a few bug fixes, including a bug that produced incorrect matches when a non-greedy...
Bumps [crossbeam-deque](https://github.com/crossbeam-rs/crossbeam) from 0.8.0 to 0.8.1. Release notes Sourced from crossbeam-deque's releases. crossbeam-deque 0.8.1 Fix deque steal race condition. (https://github.com/crossbeam-rs/crossbeam/security/advisories/GHSA-pqqp-xmhj-wgcw) Add Stealer::len method. (#708) Changelog Sourced from crossbeam-deque's changelog. Version...
The main purpose of this is to allow exporting the surrogate model to ONNX in an easy way. The tests are copied from the HomogeneousRandomForest
The `.` character is used internally to signify hierarchical hypergrids so has issues when attempting to `join()` based on parameter names such as `spark.offHeap.enabled` and `spark.offHeap.size`. We should switch to...
This took me a while to figure out, but it's faster than the sampling even with a moderate amount of samples, so it might make it easier to do more...
This adds support for time series into the optimizer. Important things to know: *It currently just uses predicted_value to find utility. The error bounds on the predicted_value should be intelligently...
