fix sparsify for dense matrices
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1aba4efa21
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10
Orb_AutFN.jl
10
Orb_AutFN.jl
@ -34,7 +34,7 @@ immutable Settings
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tol::Float64
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tol::Float64
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end
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end
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function sparsify!{T}(U::Array{T}, eps=eps(T))
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function sparsify{T}(U::Array{T}, eps=eps(T))
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n = rank(U)
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n = rank(U)
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W = deepcopy(U)
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W = deepcopy(U)
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W[abs.(W) .< eps] = zero(T)
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W[abs.(W) .< eps] = zero(T)
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@ -42,9 +42,9 @@ function sparsify!{T}(U::Array{T}, eps=eps(T))
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warn("Sparsification would decrease the rank!")
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warn("Sparsification would decrease the rank!")
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W = U
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W = U
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end
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end
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U = sparse(U)
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W = sparse(W)
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dropzeros!(U)
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dropzeros!(W)
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return U
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return W
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end
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end
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function sparsify!{T}(U::SparseMatrixCSC{T}, eps=eps(T))
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function sparsify!{T}(U::SparseMatrixCSC{T}, eps=eps(T))
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@ -53,8 +53,6 @@ function sparsify!{T}(U::SparseMatrixCSC{T}, eps=eps(T))
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return U
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return U
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end
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end
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sparsify{T}(U::AbstractArray{T}, eps=eps(T)) = sparsify!(deepcopy(U), eps)
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small_to_zero!{T}(A::AbstractArray{T}, eps=eps(T)) = A[abs(A) .< eps] = zero(T)
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small_to_zero!{T}(A::AbstractArray{T}, eps=eps(T)) = A[abs(A) .< eps] = zero(T)
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function init_model(Uπs)
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function init_model(Uπs)
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