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Parallel Hyperparameter Tuning in Python

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Bumps [nbconvert](https://github.com/jupyter/nbconvert) from 5.6.0 to 6.3.0. Commits cefe0bf Release 6.3.0 a534fb9 Release 6.3.0b0 87920c5 Add changelog for 6.3.0 (#1669) dd6d9c7 add slide numbering (#1654) 5d2c5e2 Update state filter (#1664) 11ea593...

dependencies

Bumps [mistune](https://github.com/lepture/mistune) from 0.8.4 to 2.0.3. Release notes Sourced from mistune's releases. Version 2.0.2 Fix escape_url via lepture/mistune#295 Version 2.0.1 Fix XSS for image link syntax. Version 2.0.0 First release...

dependencies

Bumps [numpy](https://github.com/numpy/numpy) from 1.21.0 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...

dependencies

Bumps [numpy](https://github.com/numpy/numpy) from 1.19.5 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...

dependencies

Bumps [numpy](https://github.com/numpy/numpy) from 1.21.0 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...

dependencies

Hi, When I set the `num_iteration` is 50, the actual running iteration is more than 50: ```{python} config = dict() config["optimizer"] = "Bayesian" config["num_iteration"] = 50 tuner = Tuner(HYPERPARAMETERS, objective=run_one_training,...

Added constrained optimization option using a function in the configuration. See [this]() notebook for an example.

Any plans on supporting arbitrary constraints on input/output? E.g. non-linear inequality constraints etc.

Bumps [joblib](https://github.com/joblib/joblib) from 0.14.0 to 1.2.0. Changelog Sourced from joblib's changelog. Release 1.2.0 Fix a security issue where eval(pre_dispatch) could potentially run arbitrary code. Now only basic numerics are supported....

dependencies