xyzpy.gen.farming

Objects for labelling and succesively running functions.

Functions

cultivate(fn, *[, var_names, data_name, ...])	Convenience function to run a full cycle of annotating a function, parsing combos into missing cases only, then persistently growing those cases, and finally merging the results into the full dataset.
label(var_names[, fn_args, var_dims, ...])	Convenient decorator to automatically wrap a function as a Runner or Harvester.

Classes

Harvester(runner[, data_name, chunks, ...])	Container class for collecting and aggregating data to disk.
Runner(fn, var_names[, fn_args, var_dims, ...])	Container class with all the information needed to systematically run a function over many parameters and capture the output in a dataset.
Sampler(runner[, data_name, default_combos, ...])	Like a Harvester, but randomly samples combos and writes the table of results to a pandas.DataFrame.