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Data Science
Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge from structured and unstructured data. Data scientists perform data analysis and preparation, and their findings inform high-level decisions in many organizations.
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The Mixed Time-Series chart type allows for configuring the title of the primary and the secondary y-axis.
However, while only the title of the primary axis is shown next to the axis, the title of the secondary one is placed at the upper end of the axis where it gets hidden by bar values and zoom controls.
How to reproduce the bug
- Create a mixed time-series chart
- Configure axi
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Search before asking
- I searched the issues and found no similar issues.
Ray Component
Ray Clusters
What happened + What you expected to happen
I was trying to launch a Ray cluster on GCP via my macOS. When I disabled the docker
field and used the setup_commands
field to set up the new node, everything went well. However, when
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Mar 7, 2022
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Feb 10, 2022 - JavaScript
Summary
Aesthetically trivial, yet I've spotted a discrepancy with font sizes in our tooltip (front-end + back-end screenshots below).
I believe sections #1 and #2 should have the same font size?
:
interesting = False
print 'This line is highlighted.'
print 'This one is not...'
print '...but this one is.'
<img width="553" alt="Screenshot 2022-02-25 at 16 15 01" src="https://user-images.githubuserconte
Describe your context
Please provide us your environment, so we can easily reproduce the issue.
- replace the result of
pip list | grep dash
below
dash 2.0.0
dash-bootstrap-components 1.0.0
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if frontend related, tell us your Browser, Version and OS
- OS: [e.g. iOS] Windows
- Browser [e.g. chrome, safari]: Chrome 96.0x, Edge 96.0x, Firefox
Python 3.10 added suggestions for AttributeError and NameError in the error messages. It seems the suggestions are not stored in the exception object but calculated when Error is displayed. There is a note that that this won't work with IPython but it will be good to see if it's feasible. Opening an issue for discussion.
https://bugs.python.org/issue38530
https://docs.python.org/3/whatsnew/3.
Bug summary
The FontManager.addfont()
method is documented as accepting a path-like, but if a path-like for a .ttf font file is passed it raises TypeError
Code for reproduction
from pathlib import Path
from matplotlib import get_data_
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May 20, 2020
In gensim/models/fasttext.py:
model = FastText(
vector_size=m.dim,
vector_size=m.dim,
window=m.ws,
window=m.ws,
epochs=m.epoch,
epochs=m.epoch,
negative=m.neg,
negative=m.neg,
# FIXME: these next 2 lines read in unsupported FB FT modes (loss=3 softmax or loss=4 onevsall,
# or model=3 supervi
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Dec 30, 2021
Although the results look nice and ideal in all TensorFlow plots and are consistent across all frameworks, there is a small difference (more of a consistency issue). The result training loss/accuracy plots look like they are sampling on a lesser number of points. It looks more straight and smooth and less wiggly as compared to PyTorch or MXNet.
It can be clearly seen in chapter 6([CNN Lenet](ht
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Mar 10, 2022 - Go
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.
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Mar 8, 2022
- Wikipedia
- Wikipedia
See in #22547
We need to rep