explainable-ml
Here are 60 public repositories matching this topic...
Currently as per #403 , lightwood (and by extension mindsdb) fails to install on 32bit python environments.
We should see if there's an easy way to make it work, since 32 bits might still be used for a long time on various embedded device.
If there isn't (or if there is, but it takes too long to implement support) we should add a notification to the docs that you need 64 bit python (where we
Would you write some docstrings for the models? Docstrings and explanations for the model parameters would make it easier to understand and use them.
- It would be nice to have a list of current contributors and update this list as more people add resources to this repo.
General:
- remove outdated examples from
DALEX_docs - prepare skeleton for R/Python docs
R specific:
- prepare Introductory materials to predictive models for
titanicandapartments - prepare Introductory materials to
explain() - prepare Introductory materials to
predict_parts() - prepare Introductory materials to
predict_profile() - prepar
lime-ml.readthedocs says that explain_instance for tabular lime expects a 1D-array as input, but when running the code with 1D-array the following error message occurs:
ValueError: Expected 2D array, got 1D array instead:
[1, 2, 3, 4, 5]
Does the function expect 2D or 1D- arrays?
Edit:
Should probably
-
Updated
Oct 5, 2019 - Python
In order to successfully install examples using Docker I did the following changes:
- There seems to be missing step which clones
mli-resourcesGitHub repository. PerhapsRUN git clone https://github.com/h2oai/mli-resources.gitshould be added toDockerfile(I cloned repo manually). - Jupyter refuses to start under root - consider adding
--allow-rootparameter: `docker run -i -t -p 888
-
Updated
May 15, 2020 - Python
modelStudio FAQ & Troubleshooting
- Error occurred during the
modelStudio()computation fooplot doesn't show up on the dashboard
- Read the console output of
DALEX::explain(). There could be a warning message pointing to the
-
Updated
Jan 27, 2020 - Python
-
Updated
May 4, 2020 - Python
-
Updated
May 13, 2020 - R
-
Updated
Feb 2, 2020 - R
-
Updated
Mar 28, 2020 - Prolog
-
Updated
Feb 28, 2020
-
Updated
May 13, 2020 - Jupyter Notebook
-
Updated
Sep 7, 2018 - Jupyter Notebook
-
Updated
Nov 19, 2019 - TeX
- A simple README in the notebooks directory pointing out information about certain files and scripts will make it easier to navigate this subdirectory.
-
Updated
Nov 25, 2019 - Python
-
Updated
May 12, 2020 - R
-
Updated
Mar 15, 2019 - Jupyter Notebook
-
Updated
Jan 27, 2020 - Python
-
Updated
Nov 28, 2019
-
Updated
Dec 7, 2018 - TeX
-
Updated
May 18, 2020 - Python
-
Updated
Mar 12, 2020 - Java
-
Updated
Feb 19, 2020 - Python
Improve this page
Add a description, image, and links to the explainable-ml topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the explainable-ml topic, visit your repo's landing page and select "manage topics."
How to use Watcher / WatcherClient over tcp/ip network?
Watcher seems to ZMQ server, and WatcherClient is ZMQ Client, but there is no API/Interface to config server IP address.
Do I need to implement a class that inherits from WatcherClient?