tra-analysis/data-analysis/config.json

{
	"max-threads": 0.5,
	"team": "",
	"competition": "",
	"key":{
		"database":"",
		"tba":""
	},
	"statistics":{
		"match":{
			"balls-blocked":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"],
			"balls-collected":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"],
			"balls-lower-teleop":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"],
			"balls-lower-auto":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"],
			"balls-started":["basic_stats","historical_analyss","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"],
			"balls-upper-teleop":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"],
			"balls-upper-auto":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"]

		},
		"metric":{
			"elo":{
				"score":1500,
				"N":400,
				"K":24
			},
			"gl2":{
				"score":1500,
				"rd":250,
				"vol":0.06
			},
			"ts":{
				"mu":25,
				"sigma":8.33
			}
		},
		"pit":{
			"wheel-mechanism":true,
			"low-balls":true,
			"high-balls":true,
			"wheel-success":true,
			"strategic-focus":true,
			"climb-mechanism":true,
			"attitude":true
		}
	}
}