DockerfileLeanFoundation package updates and new additions

[gsalaz98]

Description

This PR is on top of #5036

Package updates and new installs included in this PR:
seaborn (Closes #2568)
pyflux (Closes #4499)
optuna (Closes #4528)
sklearn (Updated, closes #4587)
ntlk.download('stopwords') (Closes #4588)
findiff (Closes #4624)
sktime (Closes #4627)
sktime-dl (Closes #4627)
hyperopt (Closes #4629)
bayesian-optimization (Closes #4651)
rpy2 (Closes #4746)
pingouin (Closes #4782)
quantecon (Closes #4813)
matplotlib (Updated)
torch-scatter, torch-sparse, torch-cluster, torch-spline-conv, torch-geometric (Partial of #4857)

Packages that are pending addition or are unable to be added at the moment:
pysde (TODO, unable to be installed)
pandas_market_calendars (TODO, review dependencies)
feature-selector (TODO, has strict package requirements)
tensorforce (TODO, requires tensorflow2)
tensorflow2 (TODO)
sagemaker (TODO)
nbeats (TODO, requires tensorflow2)
dgl (TODO, requires custom build w/ build-essentials)
stellargraph (TODO)
ruptures (TODO)
simpy (TODO)
coach (TODO, requires apt-get installs)
stable-baselines3 (TODO, might be incompatible)
modin (TODO)

Related Issue

Issues posted in description

Motivation and Context

Adds user requested packages

Requires Documentation Change

Yes, update package list on QC docs website

How Has This Been Tested?

Ran all tests, all passing

Might require some new package version tests

Types of changes

• Bug fix (non-breaking change which fixes an issue)
• Refactor (non-breaking change which improves implementation)
• Performance (non-breaking change which improves performance. Please add associated performance test and results)
• New feature (non-breaking change which adds functionality)
• Breaking change (fix or feature that would cause existing functionality to change)
• Non-functional change (xml comments/documentation/etc)

Checklist:

• My code follows the code style of this project.
• I have read the CONTRIBUTING document.
• I have added tests to cover my changes.
• All new and existing tests passed.
• My branch follows the naming convention bug-<issue#>-<description> or feature-<issue#>-<description>

[hohoCode]

Could you please update the library: mlfinlab from 0.9.1 in lean foundation to the latest version 1.5.1? Thanks.

[Martin-Molinero]

Let's test live/backtesting/research with refactor-dockerfileleanfoundation-python-pkg-updates-2-e33552f-37e65eb 10225

[gsalaz98]

Package imports:

    torch-scatter==2.0.5            \
    torch-sparse==0.6.8             \
    torch-cluster==1.5.8            \
    torch-spline-conv==1.2.0        \
    torch-geometric==1.6.3

are failing with the following error:

RuntimeError: Detected that PyTorch and torch_scatter were compiled with different CUDA versions. PyTorch has CUDA version 10.2 and torch_scatter has CUDA version 0.0. Please reinstall the torch_<pkg> that matches your PyTorch install.

Most likely can be solved w/ Conda install rather than relying on pip

[Martin-Molinero]

Rebuilt at refactor-dockerfileleanfoundation-python-pkg-updates-2-702b111-a7d32a9 10514

[gsalaz98]

Tested cloud -- backtesting (Py/C#), backtesting debugging (Py), research (Py/C#), and live (Py/C# QC Paper and IB) - all successful