lc_print

Print list of Gaussian using the python and julia syntax

Most estimators implemented by the video game industry cannot obtain reliable initial estimates nor guarantee comparability between distant estimates. TrueSkill Through Time solves all these problems by modeling the entire history of activities using a single Bayesian network allowing the information to propagate correctly throughout the system. This algorithm requires only a few iterations to converge, allowing millions of observations to be analyzed using any low-end computer.
Landfried G, Mocskos E (2025). "TrueSkill Through Time: Reliable Initial Skill Estimates and Historical Comparability with Julia, Python, and R." <doi:10.18637/jss.v112.i06>.
The core ideas implemented in this project were developed by Dangauthier P, Herbrich R, Minka T, Graepel T (2007). "Trueskill through time: Revisiting the history of chess.".

Gustavo Landfried

TrueSkillThroughTime

Skill Estimation Based on a Single Bayesian Network

lc_print function

<dl><dt>lc.a</dt>
<dd>List of Gaussians</dd></dl>

Arguments

Print list of Gaussian using the python and julia syntax — lc_print

<dl>

<dt>lc.a</dt>
<dd>List of Gaussians</dd>

</dl>

lc_print: Print list of Gaussian using the python and julia syntax

Description

Usage

Value

Arguments