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training_test.go
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training_test.go
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package bbn_test
import (
"testing"
"github.com/mlange-42/bbn"
"github.com/mlange-42/bbn/ve"
"github.com/stretchr/testify/assert"
)
func TestTrainer(t *testing.T) {
vars := []bbn.Variable{
{
Name: "Rain",
Outcomes: []string{"yes", "no"},
},
{
Name: "Sprinkler",
Outcomes: []string{"yes", "no"},
},
{
Name: "GrassWet",
Outcomes: []string{"yes", "no"},
},
}
factors := []bbn.Factor{
{
For: "Rain",
Table: []float64{0.0, 0.0},
},
{
For: "Sprinkler",
Given: []string{"Rain"},
Table: []float64{
0.0, 0.0, // rain yes
0.0, 0.0, // rain no
},
},
{
For: "GrassWet",
Given: []string{"Rain", "Sprinkler"},
Table: []float64{
0.0, 0.0, // rain yes, sprikler yes
0.0, 0.0, // rain yes, sprikler no
0.0, 0.0, // rain no, sprikler yes
0.0, 0.0, // rain no, sprikler no
},
},
}
net, err := bbn.New("Sprinkler", "", vars, factors)
assert.Nil(t, err)
data := [][]int{
{0, 0, 0},
{0, 1, 0},
{1, 0, 0},
{1, 1, 1},
}
trainer := bbn.NewTrainer(net)
for _, row := range data {
trainer.AddSample(row, nil)
}
net, err = trainer.UpdateNetwork()
assert.Nil(t, err)
evidence := map[string]string{
"Rain": "no",
"GrassWet": "yes",
}
result, _, err := net.SolveQuery(evidence, []string{"Sprinkler"}, false)
assert.Nil(t, err)
assert.Equal(t, map[string][]float64{
"Sprinkler": {1, 0},
}, result)
}
func TestTrainerDecision(t *testing.T) {
vars := []bbn.Variable{
{Name: "weather", NodeType: ve.ChanceNode, Outcomes: []string{"rainy", "sunny"}},
{Name: "forecast", NodeType: ve.ChanceNode, Outcomes: []string{"sunny", "cloudy", "rainy"}},
{Name: "umbrella", NodeType: ve.DecisionNode, Outcomes: []string{"yes", "no"}},
{Name: "utility", NodeType: ve.UtilityNode, Outcomes: []string{"utility"}},
}
factors := []bbn.Factor{
{For: "weather", Table: []float64{
// rain+, rain-
0.0, 0.0,
}},
{For: "forecast", Given: []string{"weather"}, Table: []float64{
// sunny, cloudy, rainy
0.0, 0.0, 0.0, // rain+
0.0, 0.0, 0.0, // rain-
}},
{For: "umbrella", Given: []string{"forecast"}},
{For: "utility", Given: []string{"weather", "umbrella"}, Table: []float64{
0, // rain+, umbrella+
0, // rain+, umbrella-
0, // rain-, umbrella+
0, // rain-, umbrella-
}},
}
net, err := bbn.New("umbrella", "", vars, factors)
assert.Nil(t, err)
trainer := bbn.NewTrainer(net)
_ = trainer
samples := [][]int{
{0, 2, 0, 0},
{0, 2, 1, 0},
{1, 0, 0, 0},
{1, 0, 1, 0},
}
utility := [][]float64{
{0, 0, 0, 70},
{0, 0, 0, 0},
{0, 0, 0, 20},
{0, 0, 0, 100},
}
for i := range samples {
trainer.AddSample(samples[i], utility[i])
}
net, err = trainer.UpdateNetwork()
assert.Nil(t, err)
policy, err := net.SolvePolicies(true)
assert.Nil(t, err)
assert.Equal(t, []float64{0, 1, 0.5, 0.5, 1, 0}, policy["umbrella"].Table)
}