Luminaire

Add a random_state argument to the HyperparameterOptimization class to ensure the reproducibility of results.

MR's involved:
https://github.com/zillow/luminaire/pull/125
https://github.com/zillow/luminaire/pull/131

**Full Changelog**: https://github.com/zillow/luminaire/compare/v0.4.2...v0.4.3

Authored by: papaemman
Review changes authored by: sayanchk

Fix: lad_filtering applying appropriate diff order instead of hardcoded value

Changes:
- Leveraging https://pypi.org/project/bayescd/ instead of explicitly installing that same repos code for ci/cd since its now available on PyPI
- Adding `bayescd` to dependency so users don't have to install them manually
- Support for weekly frequency for data exploration

Closes issues:
- https://github.com/zillow/luminaire/issues/112
- https://github.com/zillow/luminaire/issues/115
- https://github.com/zillow/luminaire/pull/118

- Support up to Python 3.10
- Support of latest versions of `scipy`, `statsmodels` and `bayesian-changepoin-detection`
- Minor bug fixes and improvements in data exploration
- Minor bug fixes and improvements in structural model
- Ability to perform model validation due to under-fit added in structural model
- Holiday list updated

> Note: We had to remove bayesian-changepoint-detection package from requirements due to deployment issues in pypi (the latest version of scipy is not supported by bayesian-changepoint-detection 0.2.dev1 available in PyPI). If you are planning to use this luminaire v0.4.0, you have to manually install a compatible version of bayesian-changepoint-detection from github provided by the community but not yet made available on PyPI using the following script:
>
> `pip install git+https://github.com/hildensia/bayesian_changepoint_detection2dd95f5c1d028116899a842ccb3baa173f9d5be9#egg=bayesian-changepoint-detection`

Luminaire cd fixes from dev2

Release notes from dev1:
- Support up to Python 3.10
- Support of latest versions of Scipy, Statsmodels and bayesian-changepoin-detection
- Minor bug fixes and improvements in data exploration
- Minor bug fixes and improvements in structural model
- Ability to perform model validation due to underfit added in structural model
- Holiday list updated

**Please read:** We had to remove `bayesian-changepoint-detection` package from requirements due to deployment issues in pypi (the latest version of scipy is not supported by `bayesian-changepoint-detection` `0.2.dev1`). If you are planning to use this dev release of luminaire, you have to manually install a compatible version of `bayesian-changepoint-detection` from github using the following script:


pip install git+https://github.com/hildensia/bayesian_changepoint_detection2dd95f5c1d028116899a842ccb3baa173f9d5be9#egg=bayesian-changepoint-detection

Luminaire cd fixes from dev1

Release notes from dev1:
- Support up to Python 3.10
- Support of latest versions of Scipy, Statsmodels and bayesian-changepoin-detection
- Minor bug fixes and improvements in data exploration
- Minor bug fixes and improvements in structural model
- Ability to perform model validation due to underfit added in structural model
- Holiday list updated