maxent 0.1.0.0 → 0.1.0.1

raw patch · 2 files changed

+26/−6 lines, 2 filesPVP ok

version bump matches the API change (PVP)

API changes (from Hackage documentation)

Files

• maxent.cabal +9/−5
• src/MaxEnt.hs +17/−1

@@ -10,10 +10,10 @@ -- PVP summary:      +-+------- breaking API changes --                   | | +----- non-breaking API additions --                   | | | +--- code changes with no API change-version:             0.1.0.0+version:             0.1.0.1  -- A short (one-line) description of the package.-synopsis:            Compute Maximum Entropy Distrubtions+synopsis:            Compute Maximum Entropy Distributions  -- A longer description of the package. description: Use this package to compute maximum entropy distributions given a list of values and@@ -21,17 +21,21 @@   .   Here is a the example from Probability the Logic of Science    .-   > maxent ([1,2,3], [average 1.5])+  @+    maxent ([1,2,3], [average 1.5])+  @   .   Right [0.61, 0.26, 0.11]   .   The classic dice example   .-   > maxent ([1,2,3,4,5,6], [average 4.5])+  @+    maxent ([1,2,3,4,5,6], [average 4.5])+  @   .   Right [.05, .07, 0.11, 0.16, 0.23, 0.34]   -  I will document this more ... soonish+      -- URL for the project homepage or repository. homepage:            https://github.com/jfischoff/maxent

@@ -1,5 +1,13 @@ -- |--- Use this package to compute maximum entropy distributions given a list of values and+-- The maximum entropy method, or MAXENT, is variational approach for computing probability +-- distributions given a list of moment, or expected value, constraints.+-- +-- Here are a link for background info.+-- On the idea of maximum entropy in general: +-- <http://en.wikipedia.org/wiki/Principle_of_maximum_entropy>+--  +-- +-- Use this package to compute discrete maximum entropy distributions over a list of values and -- list of constraints. --  -- Here is a the example from Probability the Logic of Science@@ -13,6 +21,14 @@ -- > maxent ([1,2,3,4,5,6], [average 4.5]) --  -- Right [.05, .07, 0.11, 0.16, 0.23, 0.34]+-- +-- One can use different constraints besides the average value there.  +--+-- As for why you want to maximize the entropy to find the probability constraint, +-- I will say this for now. In the case of the average constraint +-- it is a kin to choosing a integer partition with the most interger compositions. +-- I doubt that makes any sense, but I will try to explain more with a blog post soon.+--  module MaxEnt (     Constraint,     constraint,