Description

if MultinomialNB there is strange behavior of clf.coef_:
clf.coef_ is the same as clf.feature_log_prob_[1]

and

clf.intercept_ is the same as only one clf.class_log_prior_

for example
clf.feature_log_prob_[0][0:3]

array([-3.63942161, -3.17296199, -4.59417863])

clf.feature_log_prob_[1][0:3]

array([-3.51935008, -3.010937 , -6.41836494])

clf.coef_[0][0:3]

Not sure if it was added intentionally, but it's possible to call numpy with the np attribute of the pandas module:

import pandas
x = pandas.np.array([1, 2, 3])

While this is not documented, I've seen couple of places suggesting this as a "trick" to avoid importing numpy directly.

I personally find this hacky, and I think should be removed.

From MDN:

• Chrome has an "Intent to Deprecate and Remove the XSS Auditor"
• Firefox have not, and will not implement X-XSS-Protection
• Edge have [retired their X

It looks like there is only a master branch for this repo at this time. This has caused any commits to affect PRs which now show large numbers of conflicts. Would it be possible to get a development branch or other instructions as to how PRs should be made to avoid this situation going forward?

Is your feature request related to a problem? Please describe.
I'm copying text one tab into another to run it with another recipe. But when I change back to the first tab, the text I originally selected is no longer selected. It would be nice if this is remembered because when working with a wall of text, it's near impossible to figure out where I was.

This applies to both to input and th

Describe the bug

When a sort is made, the link "Sort" is displayed. It is not translated when the language of the UI is not english.

I suppose it could be done by editing this line
https://github.com/OpenRefine/OpenRefine/blob/76162cfed150b32e1496bc07082302c35f56c6d7/main/webapp/modules/core/scripts/views/data-table/data-table-view.js#L152

To Reproduce

Current Results

Problem

It should be possible to make in-page links so that the app user can click on a title (e.g. within a Table of Contents) to reach the labeled part of the app quickly.

godot63 on the streamlit forum writes:

I would like to write something like:
[Station information](#Station-information)
where in the document there is a ‘# Station information’ title in the same doc. This 

Collection of follow-ups to #5827. These can/should be broken out into individual PRs. Many are relatively straightforward and would make a good first PR.

General

• Documentation (none was added in original PR).
• Release notes.
• Example notebook.
• Double-check how sm.tsa.arima.ARIMA works with fix_params (it should fail except when the fit method is statespace

Add a section near the end trying to interpret the model:

• What features are being used to make the classification?
• Why are those features important?
• What does that say about the problem domain?

Alluxio EE documentation for 2.1.0 on EMR should specify that should be using /bin/bash terminal when running aws emr create statement. iTerm by default uses zsh which doesn't take in URLs accurately.
zsh: no matches found: Path=s3://alluxio-public/emr/2.1.0/alluxio-emr.sh,Args=[s3://madans3bucket/emr/mount/]

Provide a link to the page with an issue:

Describe what is wrong:

We don't have an example of using pod_patch and pod_spec

Describe the suggested changes:

Add an example of those things.

**Anything e

I've been trying out knowledge-repo and came across multiple problems that seems to have resulted from following the old documentation on knowledge-repo.readthedocs.io. Looking through the issues it seems that several PRs modified the docs, but the changes didn't propagate yet to the documentation website. It might be a good idea to synchronize the two, so that new users can have a lower entrance

I think that we never publicly exposed what would be the method inclusion in imbalanced-learn.

IMO, I think that we don't have to be as conservative as in scikit-learn to include new methods. However, I think that it is really important to have good documentation such that a new user can choose the appropriate method.

IMO, I think that we can include any method. However, we need to have a c

Describe the bug
When running from pycharm the report is generated but an error is thrown
Traceback (most recent call last):
File "/Library/Frameworks/Python.framework/Versions/3.6/bin/pandas_profiling", line 10, in
sys.exit(main())
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/pandas_profiling/controller/console.py", line 78, in main

https://github.com/cloudera/hue/blob/f4200095475573b3df73a95aeb495436d5df0c28/desktop/libs/notebook/src/notebook/connectors/spark_shell.py#L44

Why Reopen => With the changes to YARN in 3.0 (especially docker), Hue may need to own more of these properties instead of blacklisting them in Livy. Additionally, Livy [blacklisting](https://github.com/cloudera/livy/blob/9ae24d08738652ba5fd817780711d01

It currently doesn't

How can i implement callback parameter in fit moder Autoencoder ?
There is not parameter.

from keras.callbacks.callbacks import EarlyStopping
cb_earlystop = EarlyStopping(monitor='val_loss', min_delta=0, patience=0, verbose=0,
mode='auto', baseline=None, restore_best_weights=False)
pyod_model.fit(scaler, callbacks=[cb_earlystop])

TypeError: fi

您好，最近在看FFM模型实现部分有一点困惑，从预测代码实现中看，feature_id 应该是连续累加的，也就是说不同 field 之间的feature index 应该是连续增加的，像FM一样。
Hi，I have a problem about FFM calc score。what I got from the code is that 'feature_id' should be continuous, like what we did in FM.

![image](https://user-images.githubusercontent.com/90728

Plotnine is different from ggplot2 in this regard.

Reference: https://stackoverflow.com/questions/59024019/add-text-to-figure-using-pythons-plotnine

Use mvn release:prepare to build the docs and copy them to the /docs directory

I'm using Tad Version 0.8.5 (0.8.5) on MacOS 10.13.4.

Tad doesn't appear to respond to the system shortcut to hide the current window (Cmd-H). I think it should for parity with other native MacOS apps.

I suggest keeping the README short and to the point: badges showing status etc. of the package, what is the purpose of the package, how to install, 1-2 basic code examples, and contributing information.

More examples, function API docs, and detailed descriptions can be moved to the docs site.

I also suggest adding a gallery to the docs, [similar to Seaborn](https://seaborn.pydata.org/example

Hi there,

Very interesting tools. Thank you in advance.
I see that MSSQL is not in the roadmap.

How could it be implemented? Adding a dedicated datastore would be enough?
I could eventually help in the process