Closed finmod closed 8 years ago
Hi. Yeah I'll develop the readme.
About the tests, they work on travis
https://travis-ci.org/matthieugomez/LeastSquaresOptim.jl
Can you try Pkg.checkout
to make sure you have the latest version?
Thank you for your prompt attention.
Pkg.checkout(“LeastSquaresOptim”) did it even though the output said that it did not do anything.
Runtests.jl answers all my questions about efficiency.
From: Matthieu Gomez [mailto:notifications@github.com] Sent: Tuesday, August 2, 2016 3:42 AM To: matthieugomez/LeastSquaresOptim.jl LeastSquaresOptim.jl@noreply.github.com Cc: finmod denis.richard@dr.com; Author author@noreply.github.com Subject: Re: [matthieugomez/LeastSquaresOptim.jl] QR not defined (#3)
Hi. Yeah I'll develop the readme. About the tests, they work on travis https://travis-ci.org/matthieugomez/LeastSquaresOptim.jl Can you try Pkg.checkout to make sure you have the latest version?
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Just discovering LeastSquaresOptim as an alternative to pysparselm. Running the tests, I encounter the following error:
Running tests: FAILED: nonlinearsolvers.jl LoadError: UndefVarError: QR not defined [inlined code] from C:\Users\Denis\Documents\Finmod\Schumann Bischoff\LeastSquaresOptim.jl-master\test\runtests.jl:13 in anonymous at no file:0 in include at boot.jl:261 in include_from_node1 at loading.jl:320 in include_string at loading.jl:282 in execute_request_0x535c5df2 at C:\Users\Denis.julia\v0.4\IJulia\src\execute_request.jl:183 in eventloop at C:\Users\Denis.julia\v0.4\IJulia\src\IJulia.jl:143 in anonymous at task.jl:447 while loading C:\Users\Denis\Documents\Finmod\Schumann Bischoff\LeastSquaresOptim.jl-master\test\nonlinearsolvers.jl, in expression starting on line 505 LoadError: LoadError: LoadError: UndefVarError: QR not defined while loading C:\Users\Denis\Documents\Finmod\Schumann Bischoff\LeastSquaresOptim.jl-master\test\nonlinearsolvers.jl, in expression starting on line 505 while loading C:\Users\Denis\Documents\Finmod\Schumann Bischoff\LeastSquaresOptim.jl-master\test\runtests.jl, in expression starting on line 7 while loading In[1], in expression starting on line 1
And nonlinearleastsquares.jl:
LoadError: LoadError: MethodError:
convert
has no method matching convert(::Type{LeastSquaresOptim.Dogleg{Tx1,Tx2,Tx3,Tx4,Ty1,Ty2}}) This may have arisen from a call to the constructor LeastSquaresOptim.Dogleg{Tx1,Tx2,Tx3,Tx4,Ty1,Ty2}(...), since type constructors fall back to convert methods. Closest candidates are: convert{T}(::Type{T}, !Matched::T) LeastSquaresOptim.Dogleg{Tx1,Tx2,Tx3,Tx4,Ty1,Ty2}(, !Matched::Tx1, !Matched::Tx2, !Matched::Tx3, !Matched::Tx4, !Matched::Ty1, !Matched::Ty2) call{T}(::Type{T}, !Matched::Any) while loading C:\Users\Denis\Documents\Finmod\Schumann Bischoff\LeastSquaresOptim.jl-master\test\nonlinearleastsquares.jl, in expression starting on line 92 while loading In[1], in expression starting on line 1[inlined code] from C:\Users\Denis\Documents\Finmod\Schumann Bischoff\LeastSquaresOptim.jl-master\test\nonlinearleastsquares.jl:93 in anonymous at no file:0 in include at boot.jl:261 in include_from_node1 at loading.jl:320
More generally, it would be nice to demo the simple example (Rodenbrock) with all the possible combinations of cases: dense, sparse, LM and Dogleg. To compare with pysparseLM then it would be Chol, LM.
Thanks