Flux.jl/test/optimizer.jl

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2017-06-26 09:21:17 +00:00
@testset "training julia models" begin
@testset "linear regression" begin
srand(0)
model = Affine(10, 1)
truth = Float32[0, 4, 2, 2, -3, 6, -1, 3, 2, -5]'
data = map(1:256) do i
x = rand(Float32, 10)
x, truth * x + 3rand(Float32)
end
Flux.train!(model, data, epoch=5)
@test cor(reshape.((model.W.x, truth), 10)...) > .99
end
@testset "logistic regression" begin
srand(0)
model = Chain(Affine(10, 1), σ)
truth = Float32[0, 4, 2, 2, -3, 6, -1, 3, 2, -5]'
data = map(1:256) do i
x = rand(Float32, 10)
x, truth * x + 2rand(Float32) > 5f0
end
Flux.train!(model, data, epoch=10)
@test cor(reshape.((model.layers[1].W.x, truth), 10)...) > .99
end
end