Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
Bump numpy from 1.17.4 to 1.21.0 in /examples/benchmarks/DoubleEnsemble (#866)
Bumps [numpy](https://github.com/numpy/numpy) from 1.17.4 to 1.21.0. - [Release notes](https://github.com/numpy/numpy/releases) - [Changelog](https://github.com/numpy/numpy/blob/main/doc/HOWTO_RELEASE.rst.txt) - [Commits](https://github.com/numpy/numpy/compare/v1.17.4...v1.21.0) --- updated-dependencies: - dependency-name: numpy dependency-type: direct:production ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
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dependabot[bot] committed
3ba54cd1abf9ef69811a286d85a62dac0cc040d2
Parent: 483d01f
Committed by GitHub <noreply@github.com>
on 1/18/2022, 2:16:23 PM