Al fe006e0d62 [addresses] utilities for sampling from an arbitrary discrete distribution, building cumulative distributions, and sampling from a Zipfian distribution which seems to be a reasonable way of generating plausible apartment/floor numbers when the height/number of units is unknown. Picking a letter uniformly at random means P('Unit A') == P('Unit Z') when 'A' should be much more likely. Sampling from a Zipfian gets the desired effect in situations where address components are numbered by "counting from 0/1/A" while still allowing for a long tail

2016-04-14 01:13:39 -04:00

..

geodata

[addresses] utilities for sampling from an arbitrary discrete distribution, building cumulative distributions, and sampling from a Zipfian distribution which seems to be a reasonable way of generating plausible apartment/floor numbers when the height/number of units is unknown. Picking a letter uniformly at random means P('Unit A') == P('Unit Z') when 'A' should be much more likely. Sampling from a Zipfian gets the desired effect in situations where address components are numbered by "counting from 0/1/A" while still allowing for a long tail

2016-04-14 01:13:39 -04:00

requirements-simple.txt

[fix][ci skip] pip installing some light requirements when the dictionaries/numex files change. Only building transliteration if the data file changed (the CLDR files are not in-repo so will be built offline)

2016-03-04 16:17:05 -05:00

requirements.txt

[build] Adding lru-dict, a fast C LRU cache, to requirements.txt for geodata package

2016-04-05 14:55:35 -04:00

setup.py

[build] Moving dependencies for scripts into a requirements.txt

2016-03-28 15:49:22 -04:00