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loss for multi log reg

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Anton Nesterov 2024-10-03 21:55:48 +02:00
parent bf43ecee22
commit cde2e6fe99
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GPG key ID: 59121E8AE2851FB5
2 changed files with 13 additions and 1 deletions
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2
regr/src/LogisticRegression_test.go
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@ -56,5 +56,5 @@ func TestMCLogisticRegression(t *testing.T) {
regr.Fit(XDense, YDense) regr.Fit(XDense, YDense)
// fmt.Println(regr.Weights, regr.Bias) // fmt.Println(regr.Weights, regr.Bias)
yPred := regr.Predict(XDense) yPred := regr.Predict(XDense)
fmt.Println(YDense, yPred) //, regr.Loss(YDense, yPred)) fmt.Println(YDense, yPred, regr.Loss(YDense, yPred))
} }

12
regr/src/MCLogisticRegression.go
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@ -42,3 +42,15 @@ func (regr *MCLogisticRegression) Predict(x mat.Matrix) mat.Matrix {
wg.Wait() wg.Wait()
return probs return probs
} }
func (regr *MCLogisticRegression) Loss(yTrue, yPred mat.Matrix) float64 {
loss := 0.
for j := 0; j < regr.cols; j++ {
yj := mat.Col(nil, j, yTrue)
Y := mat.NewDense(len(yj), 1, yj)
ypj := mat.Col(nil, j, yPred)
YP := mat.NewDense(len(ypj), 1, ypj)
loss += regr.Models[j].Loss(Y, YP)
}
return loss / float64(regr.cols)
}