reticulate | R Interface to Python | Machine Learning library

 by   rstudio R Version: v1.30 License: Apache-2.0

kandi X-RAY | reticulate Summary

kandi X-RAY | reticulate Summary

reticulate is a R library typically used in Artificial Intelligence, Machine Learning, Jupyter applications. reticulate has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

The reticulate package provides a comprehensive set of tools for interoperability between Python and R. The package includes facilities for:.
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            kandi-support Support

              reticulate has a medium active ecosystem.
              It has 1540 star(s) with 319 fork(s). There are 65 watchers for this library.
              There were 2 major release(s) in the last 12 months.
              There are 475 open issues and 563 have been closed. On average issues are closed in 148 days. There are 6 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of reticulate is v1.30

            kandi-Quality Quality

              reticulate has 0 bugs and 0 code smells.

            kandi-Security Security

              reticulate has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              reticulate code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              reticulate is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              reticulate releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.
              It has 536 lines of code, 56 functions and 12 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

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            reticulate Key Features

            No Key Features are available at this moment for reticulate.

            reticulate Examples and Code Snippets

            No Code Snippets are available at this moment for reticulate.

            Community Discussions

            QUESTION

            How to spawn a docker container in a remote machine
            Asked 2022-Mar-28 at 05:16

            Is it possible, using the docker SDK for Python, to launch a container in a remote machine?

            ...

            ANSWER

            Answered 2022-Mar-21 at 11:49

            It's possible, simply do this:

            Source https://stackoverflow.com/questions/71531344

            QUESTION

            In R, how to use reticulate to import mplsoccer
            Asked 2022-Mar-23 at 20:33

            I'm trying to import a python package (mplsoccer) via reticulate package but I can't: reticulate::py_install('mplsoccer')

            This is the message I get:

            ...

            ANSWER

            Answered 2022-Mar-23 at 20:33

            This isn't available through Conda, but is on PyPI. Try instead:

            Source https://stackoverflow.com/questions/71588728

            QUESTION

            Passing an array to a function in reticulated Python
            Asked 2022-Feb-19 at 01:52

            I am trying to figure out how to pass arguments to Python Function via R using the reticulate package. The Python function returns this error:

            ...

            ANSWER

            Answered 2022-Feb-19 at 01:52

            I think you only need to make a small change to your code. In particular, where you say:

            Source https://stackoverflow.com/questions/71180689

            QUESTION

            Tensorflow setup on RStudio/ R | CentOS
            Asked 2022-Feb-11 at 09:36

            For the last 5 days, I am trying to make Keras/Tensorflow packages work in R. I am using RStudio for installation and have used conda, miniconda, virtualenv but it crashes each time in the end. Installing a library should not be a nightmare especially when we are talking about R (one of the best statistical languages) and TensorFlow (one of the best deep learning libraries). Can someone share a reliable way to install Keras/Tensorflow on CentOS 7?

            Following are the steps I am using to install tensorflow in RStudio.

            Since RStudio simply crashes each time I run tensorflow::tf_config() I have no way to check what is going wrong.

            ...

            ANSWER

            Answered 2022-Jan-16 at 00:08

            Perhaps my failed attempts will help someone else solve this problem; my approach:

            • boot up a clean CentOS 7 vm
            • install R and some dependencies

            Source https://stackoverflow.com/questions/70645074

            QUESTION

            Is there any way to call base python function in r using reticulate?
            Asked 2022-Feb-09 at 20:28

            I got a "generator object" from a python function. However, I tried many ways but failed to read the "generator object" in r using reticulate. I know python base function list() can convert "generator object" to "json", which I can then read in r. I wonder how to use base python function in r? (I would not prefer to use py_run_file)

            For example:

            ...

            ANSWER

            Answered 2022-Feb-09 at 20:08

            I'm not sure if you can in R directly, but you definitely can in R Markdown. I use R Markdown to flip objects back and forth between the two.

            I use a basic html_document YAML output. However, I don't typically knit this type of RMD, so I don't think it really matters what you put there if you use it the same way.

            When you use reticulate you need an environment.

            So first I'll have an R chunk:

            Source https://stackoverflow.com/questions/71055838

            QUESTION

            Keras installation failed with Rstudio RcppTOML had non-zero exit status
            Asked 2022-Feb-08 at 12:59

            I am struggling to install keras on my Rstudio version 2021.09.2 Build 382 (R version 3.6.0 (2019-04-26)) on Linux Centos 7. I am having this error message:

            ...

            ANSWER

            Answered 2022-Feb-08 at 12:59

            I finally understood, there is a bug on CentOS 7: RcppTOML fails to compile with g++ 4.8.5 (20150623), but installs with g++ 5.3.1 (20160406) from scl-devtoolset-4.

            Source https://stackoverflow.com/questions/71031545

            QUESTION

            reticulate segfaults with call to plt.plot()
            Asked 2022-Jan-26 at 16:45

            I am encountering a segfault when I make a reticulated call to matplotlib.pyplot.plot().

            Steps to produce error:

            1. Create a Dockerfile with the contents:

              ...

            ANSWER

            Answered 2022-Jan-26 at 16:45

            The problem is that the R binary in rocker/r-ver:latest is compiled against a different BLAS library to the one which the numpy on PyPI is compiled against.

            This was explained to me by Tomasz Kalinowski here.

            The solution is to ensure numpy uses the same BLAS libraries as rocker/r-ver's R binary does. An easy way to ensure this is to compile numpy from source. This compilation could be performed at either image build-time or container runtime.

            Compiling numpy at runtime

            To compile numpy at container runtime we can leave our Dockerfile as is, and add a call to system2() after our initial call to reticulate::virtualenv_create(). Altering test.R to become:

            Source https://stackoverflow.com/questions/70711946

            QUESTION

            R reticulate install python libraries from Github
            Asked 2022-Jan-25 at 09:37

            Does anyone have any ideas on how to directly install the python libraries available on Github from reticulate? The py_install function only supports libraries available on conda or PyPI.

            For example, when building an R package based on a python library only available on Github, do I inevitably have to copy the source code of the library into my package?

            ...

            ANSWER

            Answered 2022-Jan-25 at 09:37

            Finally, in the function where I set up the python environment for the package, I called the R base system function where I pass the install command.

            For example, for the pylearn-parsimony library which is not available on Conda, I used this line which worked:

            Source https://stackoverflow.com/questions/69431624

            QUESTION

            How to install libpng-dev on Mac
            Asked 2022-Jan-20 at 17:22

            I am trying to install the reticulate package on my Mac and it depends on the png package, which in turn depends on libpng. I installed libpng with brew but the png package fails due to a missing libpng-config:

            ...

            ANSWER

            Answered 2022-Jan-20 at 17:22

            Processes not started from a shell may not inherit environment variables from that shell. Start R in Terminal to make sure that your R process inherits PATH from the Terminal shell where you have run which. Something like

            Source https://stackoverflow.com/questions/70789455

            QUESTION

            Matrix Multiplication in python vs R not returning the same results for SVD whitening
            Asked 2021-Dec-07 at 00:53

            I'm trying this simple whitening function in python in R

            Python

            ...

            ANSWER

            Answered 2021-Dec-07 at 00:53

            It is usually written wiki, where V* is the transpose of V:

            And this is what you get back in scipy.linalg.svd:

            Factorizes the matrix a into two unitary matrices U and Vh, and a 1-D array s of singular values (real, non-negative) such that a == U @ S @ Vh, where S is a suitably shaped matrix of zeros with main diagonal s.

            Whereas for svd in R they return you V. Therefore should be:

            Source https://stackoverflow.com/questions/70253365

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install reticulate

            Install the reticulate package from CRAN as follows:. By default, reticulate uses the version of Python found on your PATH (i.e. Sys.which("python")).
            Python in R Markdown — A new Python language engine for R Markdown that supports bi-directional communication between R and Python (R chunks can access Python objects and vice-versa).
            Importing Python modules — The import() function enables you to import any Python module and call it’s functions directly from R.
            Sourcing Python scripts — The source_python() function enables you to source a Python script the same way you would source() an R script (Python functions and objects defined within the script become directly available to the R session).
            Python REPL — The repl_python() function creates an interactive Python console within R. Objects you create within Python are available to your R session (and vice-versa).

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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