Comments (5)
According to this issue, there is a hope that when Julia 0.5 is out, Cxx.jl can be installed as a normal package. This release is due at the end of July, so I can look into this in August.
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The Julia interface was migrated to a separate repo to comply with Julia package distribution methods. In principle, it works.
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The main C++ interface, Cxx,jl, still requires a development version and the source code of Julia to work, so it is better to wait until this interface matures.
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+1 for this!
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An extremely rudimentary version of the interface is now available by commit ba2ec3b. The following code works, albeit it is not particularly useful:
import Somoclu.train
nSomX, nSomY = 40, 20
nDimensions, nVectors = 3, 20
data = Array{Float32}(nVectors*nDimensions)
codebook = Array{Float32}(nSomX*nSomY*nDimensions)
bmus = Array{Cint}(nVectors*2)
uMatrix = Array{Float32}(nSomX*nSomY)
train(data, codebook, bmus, uMatrix, nDimensions, nVectors, nSomX, nSomY)
Build it by
./configure --without-cuda --without-mpi
make julia
I hope to get it in shape by the end of the month.
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Related Issues (20)
- /home/docker/R/Rsomoclu/libs/Rsomoclu.so: undefined symbol: _ZTI8Snapshot
- Licensing and GPL HOT 6
- MATLAB interfece Batch algorithm HOT 4
- (core dumped) HOT 3
- Attempting to use an MPI routine before initializing MPI HOT 4
- single dimensional clustering
- upgradation problem HOT 1
- errors importing native C library (python 3.8.6 & swig 4.0.1) HOT 4
- update official repos (pypi and conda) HOT 3
- TypeError: train expected 23 arguments, got 22 HOT 2
- Can I set the random seed? HOT 4
- Get bmu of testing data HOT 2
- Numpy requirement in setup.py HOT 5
- conda-forge PackagesNotFoundError HOT 6
- How can I assign a cluster to new data? HOT 1
- Batch mode and learning rate HOT 3
- Can't build wheel with somoclu and pip 23.1 HOT 2
- Warning: the binary library cannot be imported. You cannot train maps, but you can load and analyze ones that you have already saved. If you installed Somoclu with pip on Windows, this typically means missing DLLs. Please refer to the documentation. HOT 4
- linux/arm64 for conda-forge
- About UMatrix visualization (question)
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