I don't see any documentation on how to sort the variables in the plot. I don't want them sorted by shap value but in the original order, since i'm studying the behaviour of a Wave and I want to see a multiclass distribution of shap values over time

Currently they appear as

t=24
t=32
t=1
....

I want them to appear as
t=1
t=2
t=3
t=4
...

Is it possible?

inspired by #101

Once we merge in new robustness transforms, crop_to_size should probably be in the default transforms. We still want to allow not passing it, but should probably warn in that case.

When running
from interpret import show
from interpret.perf import ROC
blackbox_perf = ROC(blackbox_model.predict_proba).explain_perf(X_test, y_test, name='Blackbox')
show(blackbox_perf)

I have the following error

RuntimeError: Could not find open port.
Consider calling interpret.set_show_addr(("127.0.0.1", 7001)) first..

Even calling the set_show_addr, I

• It would be nice to have a list of current contributors and update this list as more people add resources to this repo.

Describe the bug

In StellarGraph, some algorithms are in demo notebooks or scripts, without being listed in our main documentation. This could mean that a user reading our docs thinks they're not supported in StellarGraph.

Atm, guided backpropagation is included in Grad CAM automatically (see here). The objective of this issue is to make optional this behaviour (but selected by default).

How to do so?

• If you're not at ease with what Guided Backpropagation is, check the Class Activation Map

General:

• remove outdated examples from DALEX_docs
• prepare skeleton for R/Python docs

R specific:

• prepare Introductory materials to predictive models for titanic and apartments
• prepare Introductory materials to explain()
• prepare Introductory materials to predict_parts()
• prepare Introductory materials to predict_profile()
• prepar

nowadays, docs with rarely interpretation is difficult to understand the algorithm,
Such as bayes rule sets and other Underdogs have little references.
If can provide a common introduce in interface level may be good for programmers
who have little information of algorithm to start

In order to successfully install examples using Docker I did the following changes:

• There seems to be missing step which clones mli-resources GitHub repository. Perhaps RUN git clone https://github.com/h2oai/mli-resources.git should be added to Dockerfile (I cloned repo manually).
• Jupyter refuses to start under root - consider adding --allow-root parameter: `docker run -i -t -p 888

modelStudio FAQ & Troubleshooting

✨ Please, submit a new issue when dealing with potential bugs. Thanks! ✨

• Error occurred during the modelStudio() computation
• foo plot doesn't show up on the dashboard

1. Read the console output of DALEX::explain(). There could be a warning message pointing to the