58 lines
1.7 KiB
Go
58 lines
1.7 KiB
Go
// geneticPredictionModels contains genetic prediction neural network models for predicting genetic traits
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// These are .gob encoded files of []float32 weights
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// This package also contains prediction accuracy information for each model
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// Prediction accuracy models describe information about how accurate the predictions made by the models are
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// All of the files in this package are created by the Create Genetic Models utility.
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// This utility is located in /utilities/createGeneticModels/createGeneticModels.go
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package geneticPredictionModels
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import _ "embed"
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import "errors"
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//Outputs:
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// -bool: Model exists
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// -[]byte
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func GetGeneticPredictionModelBytes(traitName string)(bool, []byte){
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switch traitName{
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case "Eye Color":{
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return true, predictionModel_EyeColor
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}
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case "Lactose Tolerance":{
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return true, predictionModel_LactoseTolerance
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}
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}
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return false, nil
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}
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//go:embed predictionModels/EyeColorModel.gob
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var predictionModel_EyeColor []byte
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//go:embed predictionModels/LactoseToleranceModel.gob
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var predictionModel_LactoseTolerance []byte
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// The files returned by this function are .gob encoded geneticPrediction.TraitPredictionAccuracyInfoMap objects
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func GetPredictionModelTraitAccuracyInfoBytes(traitName string)([]byte, error){
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switch traitName{
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case "Eye Color":{
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return predictionAccuracy_EyeColor, nil
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}
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case "Lactose Tolerance":{
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return predictionAccuracy_LactoseTolerance, nil
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}
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}
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return nil, errors.New("GetPredictionModelTraitAccuracyInfoFile called with unknown traitName: " + traitName)
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}
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//go:embed predictionModelAccuracies/EyeColorModelAccuracy.gob
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var predictionAccuracy_EyeColor []byte
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//go:embed predictionModelAccuracies/LactoseToleranceModelAccuracy.gob
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var predictionAccuracy_LactoseTolerance []byte
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