winning_chances: Calculate winning chances
In dryguy/rbitr: Arbiter: One who ensures adherence to the rules and laws of chess
View source: R/rbitr_helpers.R
winning_chances R Documentation
Calculate winning chances
Description
Applies the scaling function 2 / (1 + exp(-0.004 * scores)) - 1 to the
scores parameter.
Usage
winning_chances(scores)
inv_winning_chances(scaled_scores)
Arguments
scores
A numeric vector of chess engine evaluations.
scaled_scores
A numeric vector of scaled chess engine evaluations.
Details
The function winning_chances() applies the exponential scaling
function 2 / (1 + exp(-0.004 * scores)) - 1 to the scores parameter.
The inverse function inv_winning_chances() reverses the transformation.
The scaling function is borrowed from
lichess
Value
A numeric vector of winning chances.
dryguy/rbitr documentation built on Oct. 15, 2024, 6:18 a.m.
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View source: R/rbitr_helpers.R
| winning_chances | R Documentation |
Calculate winning chances
Description
Applies the scaling function 2 / (1 + exp(-0.004 * scores)) - 1 to the
scores parameter.
Usage
winning_chances(scores)
inv_winning_chances(scaled_scores)
Arguments
scores |
A numeric vector of chess engine evaluations. |
scaled_scores |
A numeric vector of scaled chess engine evaluations. |
Details
The function winning_chances() applies the exponential scaling
function 2 / (1 + exp(-0.004 * scores)) - 1 to the scores parameter.
The inverse function inv_winning_chances() reverses the transformation.
The scaling function is borrowed from lichess
Value
A numeric vector of winning chances.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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