README
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Bradley-Terry Model 
The Bradley-Terry Model is useful when comparing the results of a bunch of pairings to see what item is most relevant or best choice.
It's also used a bunch to determine the best team to bet on.
I wrote this version because I need to compare the preferred pieces of equipment at a playground, and didn't want to have to call out to Python or R to get the correct answer.
Documentation
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Index ¶
Examples ¶
Constants ¶
This section is empty.
Variables ¶
This section is empty.
Functions ¶
func Model ¶
Model takes in a dataset of Pairs that describe the winner and loser of multiple match-ups. The model will return a map[string]float64 that contains the preference/relevance of each given element.
Example ¶
rand.Seed(10)
var data = []Pair{
{Winner: "Player 2", Loser: "Player 1"},
{Winner: "Player 2", Loser: "Player 3"},
{Winner: "Player 3", Loser: "Player 2"},
{Winner: "Player 3", Loser: "Player 2"},
}
output := Model(data)
fmt.Printf("Player 1: %.2f\n", output["Player 1"])
fmt.Printf("Player 2: %.2f\n", output["Player 2"])
fmt.Printf("Player 3: %.2f\n", output["Player 3"])
Output: Player 1: 0.00 Player 2: 0.33 Player 3: 0.67
Types ¶
Source Files
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