What license is this released under the read me does not say. If you are not, sure what license to use the MIT license is a simple license often used by open source software libraries especially game related ones.

Can't seem to access the EloRating object.

import skills as s
s.EloRating(1200, 32)

returns
AttributeError: 'module' object has no attribute 'EloRating'

Nevermind I figured it out...thanks!!

It would be great if the library could also support TrueSkill Through Time enhancement as described in TrueSkill Through Time: Revisiting the History of Chess paper.

The draw margin code currently hard codes 2 people total on the match. This should be tweaked to handle the actual size of the team.

In Heroes of the Storm on March 2019 "Storm League" mode was created, prior to that it had 2 ranked modes called "Hero League" and "Team League". How should I average together the two ratings of HL and TL into one SL rating?

Thanks!

Matrix.GetHashCode() function does not return the same value for all Matrices that are equal. For example, the following fails on the last line (one more 0 and it passes). Consider somehow rounding each double before putting it in the hash.

var a = new SquareMatrix(1, 2.00000000000001,
                                 3, 4);

var b = new SquareMatrix(1, 2,
                                 3, 4);

Assert.IsTrue(a == b);
Assert.AreEqual(a, b);
Assert.AreEqual(a.GetHashCode(), b.GetHashCode());

I'm trying to build a version of your code in Java and actually I've never worked with C#. So, when I implement the class FactorGraphLayer which extends the abstract class FactorGraphLayerBase it marks an error because the method BuildLayer is not been implemented in FactorGraphLayer.

Hi, I'm a Java developer so I'm using the fork/port of this project, JSkills.

Unfortunately, the project doesn't seem to be active anymore and I ran into a blocker (nsp#9) so my question is; does the same thing happen in Skills? Do you have any idea what could cause it?

I tried debugging the code but it's too complicated for my limited brain capacity. Any help is much appreciated.

Program never halts with non-zero draw probability and buggy input

I've created a small test case for this bug/issue.

In one of my projects I stumbled on some input that would cause TrueSkillCalculator.CalculateNewRatings() to never return. The input was actually the result of a bug in my code, but I expect the test case program to either return a result or throw an exception.

The issue appears related to using a DrawProbability value greater than 0.

Software versions:

$ mono --version
Mono JIT compiler version 2.10.6 (tarball Fri Sep 16 00:13:06 EDT 2011)
Copyright (C) 2002-2011 Novell, Inc, Xamarin, Inc and Contributors. www.mono-project.com
    TLS:           normal
    SIGSEGV:       normal
    Notification:  kqueue
    Architecture:  x86
    Disabled:      none
    Misc:          debugger softdebug 
    LLVM:          yes(2.9svn-mono)
    GC:            Included Boehm (with typed GC)
$ uname -a
Darwin queue.local 10.8.0 Darwin Kernel Version 10.8.0: Tue Jun  7 16:33:36 PDT 2011; root:xnu-1504.15.3~1/RELEASE_I386 i386

Performing calculations with players defined with ID, PartialPlay%, PartialUpdate% won't show any difference in ratings when using same PartialPlay values, but differing PartialUpdate values.

The Test Unit only evaluates players with PartialPlay modifications (appears to work properly), but lacks any validation checks.
There is no Test Unit that evaluates PartialUpdate functionality or results.

There's a TODO in line 73. All tests pass, so maybe you just forgot to remove it?

I realize the last commit was 11 years ago, but is the owner of this repository interested in updating to https://www.microsoft.com/en-us/research/publication/trueskill-2-improved-bayesian-skill-rating-system/ ?

When translating the library I noticed that line 21 of the TrueSkillFactorGraph class calls FromPrecisionMean(0, 0) which causes a divide by 0 exception when calculating the variance.

My current work around in the Python version is to set the variance to 1 if it is 0 but I don't think this is mathematically correct.