conda-forge / explainerdashboard-feedstock

A conda-smithy repository for explainerdashboard.

About explainerdashboard-feedstock

Feedstock license: BSD-3-Clause

Home: https://github.com/oegedijk/explainerdashboard

Package license: MIT

Summary: explainerdashboard allows you quickly build an interactive dashboard to explain the inner workings of your machine learning model.

Current build status

All platforms:

Current release info

Name	Downloads	Version	Platforms

Installing explainerdashboard

Installing explainerdashboard from the conda-forge channel can be achieved by adding conda-forge to your channels with:

conda config --add channels conda-forge
conda config --set channel_priority strict

Once the conda-forge channel has been enabled, explainerdashboard can be installed with conda:

conda install explainerdashboard

or with mamba:

mamba install explainerdashboard

It is possible to list all of the versions of explainerdashboard available on your platform with conda:

conda search explainerdashboard --channel conda-forge

or with mamba:

mamba search explainerdashboard --channel conda-forge

Alternatively, mamba repoquery may provide more information:

# Search all versions available on your platform:
mamba repoquery search explainerdashboard --channel conda-forge

# List packages depending on `explainerdashboard`:
mamba repoquery whoneeds explainerdashboard --channel conda-forge

# List dependencies of `explainerdashboard`:
mamba repoquery depends explainerdashboard --channel conda-forge

About conda-forge

conda-forge is a community-led conda channel of installable packages. In order to provide high-quality builds, the process has been automated into the conda-forge GitHub organization. The conda-forge organization contains one repository for each of the installable packages. Such a repository is known as a feedstock.

A feedstock is made up of a conda recipe (the instructions on what and how to build the package) and the necessary configurations for automatic building using freely available continuous integration services. Thanks to the awesome service provided by Azure, GitHub, CircleCI, AppVeyor, Drone, and TravisCI it is possible to build and upload installable packages to the conda-forge anaconda.org channel for Linux, Windows and OSX respectively.

To manage the continuous integration and simplify feedstock maintenance conda-smithy has been developed. Using the conda-forge.yml within this repository, it is possible to re-render all of this feedstock's supporting files (e.g. the CI configuration files) with conda smithy rerender.

For more information please check the conda-forge documentation.

Terminology

feedstock - the conda recipe (raw material), supporting scripts and CI configuration.

conda-smithy - the tool which helps orchestrate the feedstock. Its primary use is in the construction of the CI .yml files and simplify the management of many feedstocks.

conda-forge - the place where the feedstock and smithy live and work to produce the finished article (built conda distributions)

Updating explainerdashboard-feedstock

If you would like to improve the explainerdashboard recipe or build a new package version, please fork this repository and submit a PR. Upon submission, your changes will be run on the appropriate platforms to give the reviewer an opportunity to confirm that the changes result in a successful build. Once merged, the recipe will be re-built and uploaded automatically to the conda-forge channel, whereupon the built conda packages will be available for everybody to install and use from the conda-forge channel. Note that all branches in the conda-forge/explainerdashboard-feedstock are immediately built and any created packages are uploaded, so PRs should be based on branches in forks and branches in the main repository should only be used to build distinct package versions.

In order to produce a uniquely identifiable distribution:

• If the version of a package is not being increased, please add or increase the build/number.
• If the version of a package is being increased, please remember to return the build/number back to 0.

Feedstock Maintainers

• @oegedijk
• @raybellwaves

explainerdashboard-feedstock's Issues

issues installing on windows

• I read the conda-forge documentation and could not find the solution for my problem there.

When installing on windows I get

UnsatisfiableError: The following specifications were found to be incompatible with each other:

Output in format: Requested package -> Available versions

Steps to reproduce

conda create -n test_env python=3.8 --y
conda activate test_env
conda install -c conda-forge explainerdashboard

Full output below

Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: \
Found conflicts! Looking for incompatible packages.
This can take several minutes.  Press CTRL-C to abort.|
failed

UnsatisfiableError: The following specifications were found to be incompatible with each other:

Output in format: Requested package -> Available versions

Details about conda and system ( conda info ):

$ conda info

     active environment : test_env
    active env location : C:\Users\131416\AppData\Local\Continuum\anaconda3\envs\test_env
            shell level : 2
       user config file : C:\Users\131416\.condarc
 populated config files : C:\Users\131416\.condarc
          conda version : 4.9.2
    conda-build version : 3.18.11
         python version : 3.7.7.final.0
       virtual packages : __cuda=10.2=0
                          __win=0=0
                          __archspec=1=x86_64
       base environment : C:\Users\131416\AppData\Local\Continuum\anaconda3  (writable)
           channel URLs : https://repo.anaconda.com/pkgs/main/win-64
                          https://repo.anaconda.com/pkgs/main/noarch
                          https://repo.anaconda.com/pkgs/r/win-64
                          https://repo.anaconda.com/pkgs/r/noarch
                          https://repo.anaconda.com/pkgs/msys2/win-64
                          https://repo.anaconda.com/pkgs/msys2/noarch
          package cache : C:\Users\131416\AppData\Local\Continuum\anaconda3\pkgs
                          C:\Users\131416\.conda\pkgs
                          C:\Users\131416\AppData\Local\conda\conda\pkgs
       envs directories : C:\Users\131416\AppData\Local\Continuum\anaconda3\envs
                          C:\Users\131416\.conda\envs
                          C:\Users\131416\AppData\Local\conda\conda\envs
               platform : win-64
             user-agent : conda/4.9.2 requests/2.24.0 CPython/3.7.7 Windows/10 Windows/10.0.18362
          administrator : False
             netrc file : None
           offline mode : False

@conda-forge-admin, please add bot automerge

• I read the conda-forge documentation and could not find the solution for my problem there.

Issue:

Environment (conda list):

$ conda list

Details about conda and system ( conda info ):

$ conda info