Sinan
Sinan
> @rNMF Sorry, Mocha.jl is currently not compatible with Julia v1.0 yet. Are you working on upgrading Mocha to Julia 1.x or Mocha is now permanently deprecated?
@ablaom thanks for your reply. RFE is a very powerful feature selection technique. Honestly, I find it to be the best thus far because it is considers the nature of...
Yes please, the vanilla version is a good start.
julia> using Cxx [ Info: Precompiling Cxx [a0b5b9ef-44b7-5148-a2d1-f6db19f3c3d2] ERROR: LoadError: LoadError: could not load library "C:\Users\Sannan\.julia\packages\Cxx\1RaOv\src\..\deps\usr\bin\libcxxffi" The specified procedure could not be found. Stacktrace: [1] dlopen(::String, ::UInt32; throw_error::Bool) at D:\buildbot\worker\package_win64\build\usr\share\julia\stdlib\v1.5\Libdl\src\Libdl.jl:109...
I use Julia 1.50 64-bit on Windows 10 64-bit
Mr. Ankit Doshi (techietrader) has already coded Super Trend in Python. https://github.com/techietrader/Trading-indicators-and-Chart-patterns/blob/master/Indicators/Super_Trend.py
Is there an equivalent of this function in Julia? https://www.statsmodels.org/stable/generated/statsmodels.tsa.filters.cf_filter.cffilter.html
Any updates on this issue? I tried to install tensorflow but I got the following error: Error: Error building `TensorFlow`: │ ERROR: LoadError: TensorFlow.jl does not support Windows. Please see...
It seems that this library was not updated since the last two years.
Any updates on this issue? Are you still working on Tensorflow 2 support?