solver for map point

implements MVP functionality for MAP point solution. Only difference in syntax between it and the MUD one is that a) you pass data as part of the likelihood definition, b) the second argument it takes has to have each column being a measurement. In the MUD one, we pass pre-transformed data.

Release Candidate: Solver

Adding a DensityProblem class in mud.base which implements a bare-bones version of BET's discretization implemented in 2.3.0 but not ported to 3.0.0+

solver for mud point

implements sample-based solver with MVP functionality. This allows BET to no longer be required for solving the inverse problem.

WME map + MAP bugfix

adding coverage, found a bug going back to v0.0.11 with ravel... shape mismatches are the worst.

cleaner code

just a bunch of linting changes

proper and consistent ravel behavior

uses code inspired by scikit-learn to handle different shapes, moves all the logic to a central processing function, and in doing so performs a significant refactor of the core functions.

messing around with shapes

going with the ravel() structure for a bit, may not persist. I want to respect the same shape-defaults as scikit learn does.

adding defaults for map and mud_alt

v0.0.9

Merge pull request #19 from mathematicalmichael/feature/sensible-defa…

Fix norm calculation for vectors

0.0.7 introduced an inadvertent bug wherein functionality for vector-valued norm evaluations was taken out by returning result[0] instead of result in mynorm. This fixes the behavior and enforces it with a test.

clean up release

major clean-up of functions, adding tests (finally), though still need more.