explainable-ai
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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
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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- remove outdated examples from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
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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
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Unclear variables
In def generate_masks(N, s, p1):
Couldn't find what does N,s,p1 stands for in the code. I assume N stands for the number of filters generated? Since variable names don't imply their purpose, Commenting on its purpose or what it stands for would be great.
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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?