Karoo 3.0 meta-issue

[granawkins]

We're planning a major release, Karoo 3.0, that will be pip-installable and include all the recent features - the new API, sklearn-compatibility, logical operators - and some additional items. The purpose of this issue is to determine which items to include, and track our progress toward the release.

Below is my first take:

Karoo 3.0 (include)

• 92

• 83

• 73 Inline-execution and tensorflow 2, per my latest comments

• Documentation with sphinx for readthedocs.io, including the content from the Karoo_GP_User_Guide.pdf updated to be current

Karoo 3.N (later)

• Add click for color in Interactive-mode menu.
• Remove ast from the Tree.load process.
• Basic parsimony (T/F, choose shorter if equal fitness, add to BaseGP.compare_fitness
• Finalize sklearn: pass sklearn.utils.estimator_checks.check_estimator(BaseGP).
• Add support for log and trigonometric funcs.
• Add simplifying support for operators not supported by Sympy.
• Tree.display support highlighting specific nodes
• Replace the current calls to log/pause/error with a 'hooks' system.
• Don't store X and y in the model directly. (needs hooks)
• Make save/load population api more generic, move the population_a.csv references to a dict/enum in karoo-gp.py. (needs hooks)
• Limit 'load' functionality in Interactive mode to certain stages
• Make it possible to save/reload and continue training from same point.
• Create more GP classes: BinaryClassifierGP, EnsembleClassifierGP, BooleanGP, etc.

[granawkins]

Kai: Shall we remove the Matching Kernel for the 3.0 release?

[granawkins]

Notes from call 12 October

• Does it work with just 1 tree?
• Can add environmental constraints mid-course?
• Documentation
  • Fill-in API documentation
  • Add example
  • Put 'tui'-related stuff from User_Guide into new page