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aliastable

v4.0.1RubyGems· Ruby

If a categorical distribution has k distinct values, traditional approaches will require O(k) work to pick an outcome with the correct probabilities. This algorithm uses conditional probability to construct a table which will yield outcomes with the correct probabilities. Table generation requires O(k) time, but subsequent generation is done in O(1) time.

The verdict
Abandoned. Last published 3 years ago. No recent activity — look for a maintained alternative.
No recent activity — look for a maintained alternative.
Live from the RubyGems registry · derived rules, not AI
How it scores
MaintenanceAbandoned
PopularityNiche
SecurityClean
LicensePermissive
DepsZero deps
Maintenance
Last published 3 years ago.
Popularity
7 downloads / week
Security
No known advisories for this version (OSV).
License
MIT
Dependencies
No runtime dependencies
Recent releases
  • 4.0.13 years ago
  • 4.0.03 years ago
  • 3.1.07 years ago
  • 3.0.310 years ago
  • 3.0.211 years ago
  • 3.0.011 years ago
  • 1.0.013 years ago
aliastable — If a categorical distribution has k distinct values, traditional approaches will require O(k) work to pick an outcome with the correct probabilities. This algorithm uses conditional probability to construct a table which will yield outcomes with the correct probabilities. Table generation requires O(k) time, but subsequent generation is done in O(1) time. (Ruby / RubyGems) · Modules