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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Estimator has too many undocumented attributes:
- test_fit_docstring_attributes[OrthogonalMatchingPursuit-OrthogonalMatchingPursuit]
- test_fit_docstring_attributes[Lasso-Lasso]
- test_fit_docstring_attributes[LarsCV-LarsCV]
- test_fit_docstring_attributes[Birch-Birch]
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May 10, 2021 - Jupyter Notebook
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Mar 17, 2021 - Jupyter Notebook
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Feb 18, 2021 - Python
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May 11, 2021 - Python
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Apr 29, 2021 - Python
@richardliaw could we take in the data path as a command line arg for all these examples that defaults to "~/data"? That way the user can specify their own data paths without having to modify the code.
Originally posted by @amogkam in ray-project/ray#15260 (comment)
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Apr 30, 2021
%cpaste? claims "IPython statements (magics, shell escapes) are not supported (yet)." But at least magics apparently are!
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
Summary
When import streamlit and supervisely_lib together in a project there occurs a TypeError.
Steps to reproduce
Code snippet:
import streamlit as st
import supervisely_lib as sly
If applicable, please provide the steps we should take to reproduce the bug:
- run the code with streamlit run ...
- see error/traceback when you open the streamlit page
🚀 Feature
Motivation
This should work. Add a test to make sure this works reliably in multi-gpu setting.
class MyModel(pl.LightningModule):
def on_training_epoch_start():
# calling trainer.predict inside trainer.fit routine.
# is this okay?
pred_outputs = self.trainer.pre-
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Apr 28, 2021 - Jupyter Notebook
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May 20, 2020
Not a high-priority at all, but it'd be more sensible for such a tutorial/testing utility corpus to be implemented elsewhere - maybe under /test/ or some other data- or doc- related module – rather than in gensim.models.word2vec.
Originally posted by @gojomo in RaRe-Technologies/gensim#2939 (comment)
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May 2, 2021
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Oct 16, 2020 - Jupyter Notebook
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Mar 15, 2021
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Apr 16, 2021 - JavaScript
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May 11, 2021 - Python
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Apr 20, 2021
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May 10, 2021 - Python
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May 11, 2021 - Python
I'm using mxnet to do some work, but there is nothing when I search the mxnet trial and example.
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Jan 25, 2021 - Python
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Apr 4, 2021 - Jupyter Notebook
- Wikipedia
- Wikipedia

(e.g. for links and images), because some of these examples are now being rendered in the docs.
Added by @fchollet in requests for contributions.