tra-superscript/config.json
2021-04-01 02:21:01 -05:00

101 lines
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{
"max-threads": 0.5,
"team": "",
"competition": "2020ilch",
"key": {
"database": "mongodb+srv://analysis:MU2gPeEjEurRt2n@2022-scouting-4vfuu.mongodb.net/<dbname>?retryWrites=true&w=majority",
"tba": "UDvKmPjPRfwwUdDX1JxbmkyecYBJhCtXeyVk9vmO2i7K0Zn4wqQPMfzuEINXJ7e5"
},
"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
}
}
}