mlCommom
This commit is contained in:
Unic-X
@@ -19,7 +19,7 @@ func GetCategory(num int) string {
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}
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}
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//Activation function - two class classifier.
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// Activation function - two class classifier.
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func BinaryClassifier(z float64) int {
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if z >= 0.5 {
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return 1
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@@ -28,12 +28,12 @@ func BinaryClassifier(z float64) int {
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}
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}
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//Sigmoid function.
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// Sigmoid function.
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func Sigmoid(z float64) float64 {
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return 1.0 / (1 + math.Exp(-1*z))
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}
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//Net input (z.)
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// Net input (z.)
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func NetInput(w []float64, intercept float64, x []float64) float64 {
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var z float64 = 0
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@@ -44,7 +44,7 @@ func NetInput(w []float64, intercept float64, x []float64) float64 {
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return z + intercept
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}
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// Standard Scaler.
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// Standard Scaler. done for normalization
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func StdScaler(x []float64, mu []float64, std []float64) []float64 {
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scaledX := []float64{}
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@@ -58,10 +58,10 @@ func StdScaler(x []float64, mu []float64, std []float64) []float64 {
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// Offline values of means , standard deviation from standard scaling and weights.
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func ModelParameters() ([]float64, float64, []float64, []float64) {
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// Weights from logistic regression
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f, errWt := os.Open(constants.WeightsFile)
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f, errWt := os.Open(constants.WeightsFile) //weights.txt
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if errWt != nil {
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logrus.Info(errWt)
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logrus.Info(errWt) //break
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}
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defer f.Close()
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@@ -1 +1 @@
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