Data Science

This issue is reserved for the Data Umbrella Africa & Middle East Sprint on October 23, 2021 as a good first issue. For non-sprint contributors, please wait till October 30, 2021 to work on this issue.

Note

For those who are running into "YD01: No Yields section found", it could be the cv parameter. Update `An iterable yielding (train, test) sp

Currently, the funnel report percentage is calculated using:
The number at a given funnel step /
Sum(everything in the funnel)

Example from blog:

Here, the Discussed Pricing (900) gets divided by 11900 (sum of all ev

Search before asking

• I had searched in the issues and found no similar feature requirement.

Description

tfp and torch.distributions are now feature rich enough that we can probably switch the rllib code base to using them for custom distributions as opposed to maintaining our own probability distributions.

Summary

When in wide mode, the "Made with Streamlit" footer isn't aligned with the page content. We should fix that!

Is this a regression?

no

Debug info

• Streamlit version: 1.0.0

📚 Documentation

A lot of links are outdated here. Anyone willing to contribute a PR to fix them?
https://pytorch-lightning.readthedocs.io/en/latest/ecosystem/community_examples.html

Here is the file you need to edit: https://github.com/PyTorchLightning/pytorch-lightning/blob/master/docs/source/ecosystem/community_examples.rst

Thanks!

In recent versions (can't say from exactly when), there seems to be an off-by-one error in dcc.DatePickerRange. I set max_date_allowed = datetime.today().date(), but in the calendar, yesterday is the maximum date allowed. I see it in my apps, and it is also present in the first example on the DatePickerRange documentation page.

E

When using Python you can click on the File line in vscode terminal to go to statement

Traceback (most recent call last):
  File "/Users/gert/Desktop/py/./tutorial.py", line 4, in <module>

When using IPython the line number is displayed in such a way you can't parse it

ValueError                                Traceback (most recent call last)
~/Desktop/py/tutorial.py in <modu

Bug summary

The ax.invertxaxis() and ax.invert_yaxis() function both produce the same output, a scatterplot with a flipped X axis.

Code for reproduction

from mpl_toolkits import mplot3d
import matplotlib.pyplot as plt

ax = plt.axes(projection='3d')
plt.title("Invert Z")
ax.scatter3D(1,1,1)
# ax.invert_xaxis()
ax.invert_yaxis()
# ax.invert_zaxis()

Actual o

Is your feature request related to a problem? Please describe.
I typically used compressed datasets (e.g. gzipped) to save disk space. This works fine with AllenNLP during training because I can write my dataset reader to load the compressed data. However, the predict command opens the file and reads lines for the Predictor. This fails when it tries to load data from my compressed files.

Discussed in microsoft/nni#4070

[2021-08-14 10:13:41] INFO (NNIDataStore) Datastore initialization done
[2021-08-14 10:13:41] INFO (RestServer) RestServer start
[2021-08-14 10:13:41] INFO (RestServer) RestServer base port is 8080
[2021-08-14 10:13:41] I