Preferred style format of new ESDA estimators

[jeffcsauer]

As discussed at the 5/22 and 5/29 GSOC2020 ESDA calls, there is an open question as to what style format the new ESDA estimators might (or should) take. In general, three potential candidate formats were discussed:

• Legacy format (e.g. moran.py)
• Scikit-learn format (e.g. lee.py)
• Scipy format (e.g. ripley.py)

In my current draft of each estimator, I've opted for a scikit-learn format. I also drafted a few of them in legacy format (see Join_Counts_Local_old for legacy format vs Local_Join_Counts for scikit-learn format in previous link).

Wanted to raise this issue and open it up for discussion!

(can't seem to tag the issue for GSOC2020 or a project-specific GSOC2020_ESDA_ENH...)

[knaaptime]

as this is being reworked anyway, it might be an opportune time to move to pep8 class formatting (i.e. remove underscores)

[jeffcsauer]

Applied PEP8 formatting and sticking with scikit-learn for the moment!