indonesiaFootballScoutR (version 0.1.3)

train_scout_brain: Train a similarity-based scouting model

Description

This function prepares numeric player features for similarity-based scouting analysis.

Usage

train_scout_brain(df)

Value

A list containing:

data

A numeric matrix of standardized player features.

players

Character vector of player names.

Arguments

df

A cleaned data frame containing player information.

Details

The returned object is intended to be used as input for get_similar_players().

Examples

df <- data.frame(
  name = c("Player A", "Player B"),
  age = c(21, 23),
  market_value_est = c(500, 750),
  club = c("Club A", "Club B"),
  league_country = c("Indonesia", "Indonesia"),
  stringsAsFactors = FALSE
)

model <- train_scout_brain(df)