func (d *Drop) InitializeNetwork() {
params := htm.RegionParameters{
Name: "0-drop",
Width: 640,
Height: 8,
MinimumInputOverlap: 1,
InputLength: 64,
Learning: true,
}
params.MaximumFiringColumns = params.Width / 50
d.step = 0
d.region0 = htm.NewRegion(params)
d.region0.RandomizeColumns(params.InputLength / 2)
params.Name = "1-drop"
params.Width = 2000
params.Height = 5
params.InputLength = d.region0.Output().Len()
params.MaximumFiringColumns = params.Width / 100
d.region1 = htm.NewRegion(params)
d.region1.RandomizeColumns(params.InputLength / 2)
params.Name = "final"
params.Width = 200
params.Height = 3
params.InputLength = d.region1.Output().Len()
params.MaximumFiringColumns = 1
d.region3 = htm.NewRegion(params)
d.region3.RandomizeColumns(params.InputLength / 2)
d.predicted = data.NewBitset(d.region3.PredictiveState().Len())
d.patterns = make(map[string]string)
}
func NewTpTest(t LoggerInterface) *TpTest {
params := htm.RegionParameters{
Name: "0-tp",
Learning: true,
Height: 8,
Width: 64,
InputLength: 64,
MinimumInputOverlap: 1,
MaximumFiringColumns: 2,
}
result := &TpTest{
LoggerInterface: t,
step: 0,
inputA: data.NewBitset(64),
inputB: data.NewBitset(64),
layer0: htm.NewRegion(params),
expected0: data.NewBitset(params.Width * params.Height),
active0: data.NewBitset(params.Width * params.Height),
predicted0: data.NewBitset(params.Width * params.Height),
Verify: true,
}
odds := make([]int, 32)
evens := make([]int, 32)
for j := 0; j < 32; j++ {
odds[j] = j + 1
evens[j] = j
}
result.inputA.Set(1)
result.inputB.Set(8)
for i := 0; i < params.Width; i++ {
result.layer0.ResetColumnSynapses(i, i)
}
return result
}