Steps:

1. Go to a nonexistent page in Keras docs, e.g. https://keras.io/asdfsada so the 404 page is shown
2. Search something
3. You are redirected to https://search.html/?q=something instead of a relative URL

Describe the bug

Calling a pipeline with a nonparametric function causes an error since the function transform() is missing. The pipeline itself calls the function fit_transform() if it's present. For nonparametric functions (the most prominent being t-SNE) a regular transform() method does not exist since there is no projection or mapping that is learned. It could still be used f

I became quite confused by the Algorithms to perform MCMC section.

The issue is that steps 3-4:
"3. Accept/Reject the new position based on the position's adherence to the data and prior distributions (ask if the pebble likely came from the mountain).
4.A If you accept: Move to the new position. Return to Step 1.
4.B Else: Do not move to new position. Return to Step 1."
imply that

Alexnet implementation in tensorflow has incomplete architecture where 2 convolution neural layers are missing. This issue is in reference to the python notebook mentioned below.

https://github.com/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-examples/notebooks/3_neural_networks/alexnet.ipynb

Hi,

First of all, thank you so much for a great library!

When there are overlapping matches in a Doc, EntityRuler prioritize longer patterns over shorter, and if equal in length the match occuring first in the Doc is chosen.

This is great, but it would be good if this behavior is explicitly stated in the documentation for clarity. Could be stated under init or call.

Which

Note 1: This is not the same tab-completion bug for which many issues have already been opened (the one where a massive number of objects from the global namespace are displayed). This issue specifically has to do with unwanted abbreviation of filename paths. I haven't yet found any other reports of this issue.

Note 2: I also posted this to stackoverflow but am posting again here since I didn't

In the dash tutorial, this is the recommendation on how to install dash:

In your terminal, install several dash libraries. These libraries are under active development, so install and upgrade frequently. Python 2 and 3 are supported.
pip install dash==1.8.0

The current dash version is 1.9.1

Is this intentional ? I'd send a PR, but I assume the d

Given a remote function like

@ray.remote
def f():
    pass

We switched from syntax like

f._remote(num_cpus=2)

to

f.options(num_cpus=2).remote()

Regarding deprecating ._remote, their are several steps

1. Start logging a warning that tells people to use .options() instead.
2. In a subsequent release, change the warning to a

The usage example in the word2vec.py doc-comment regarding KeyedVectors uses inconsistent paths and thus doesn't work.

https://github.com/RaRe-Technologies/gensim/blob/e859c11f6f57bf3c883a718a9ab7067ac0c2d4cf/gensim/models/word2vec.py#L73

https://github.com/RaRe-Technologies/gensim/blob/e859c11f6f57bf3c883a718a9ab7067ac0c2d4cf/gensim/models/word2vec.py#L76

If vectors were saved to a tm

I've just started learning a bit about Tensorflow, and I tried out the Fashion MNIST tutorial. However, I keep getting a list index out of range error. I've copied the code from the official tutorial and also tried using tf.reset_default_graph() as suggested in some other posts, but neither have worked.

Here is the notebook with the error:
https://github.com/fsiraj/Tensorflow-Tutorials/blob/ma

Describe the bug

Calling Predictor.get_gradients() returns an empty dictionary

To Reproduce
I am replicating the binary sentiment classification tasked described in the paper 'Attention is not Explanation ' (Jain and Wallace 2019 - https://arxiv.org/pdf/1902.10186.pdf).

My first experiment is on the Stanford Sentiment TreeBank Dataset. I need to measure the correlation between th

i'm a newbie in programming. I try to use this library. it's very useful for me.
I want to show centroid in K-means clustering. how to show it? thank u so much..

Link to doc page in question (if any):

https://docs.streamlit.io/cli.html#view-all-config-options

Name of the Streamlit feature whose docs need improvement:

The documentation for configuring Streamlit through environment variables incorrectly states that the prefix is STREAMLIT_CONFIG_. Mentioned in streamlit/streamlit#477 (comment).

**Wha

Describe the bug

When doing reconciliation, I sometimes manually match entries to Wikidata items using "Search for match". I choose the correct match but the match is applied to all entries with the same name because the radio button "Match other cells with same content" is always ticked by default. Even if I change it, next time this button will again be ticked.

Expected behavior

Description

@wutaomsft suggestion:

it would be a good discussion point what is preferred way to make references in notebooks. I prefer not to have a"reference" section where references are separate from where they are referred. Instead, link the reference "in place". And then add a paragraph for "additional reading", which is more descr

Hi,
I'm new to tpot but I got this error. I understand that score function can take strings, but I got the following error when using TPOTClassifier.

---

ValueError Traceback (most recent call last)
in
----> 1 tpot.score(X_test, y_test)

~/miniconda3/envs/ml

On page 501 for the first case example the text says "n-10, m=5, p=2, s=1 -> ...". I assume the first entry of the line should be "n=10" instead of "n-10".

is it Grid Search can solve CASH problems with NNI , it seems that it is usually used for hyper-parameters optimization, have you guys have finished some revision for Grid Search for solving CASH problems.

about Cash problems can refer to ：microsoft/nni#1178

The documentation of the boltons.timeutils.daterange function only mention date objects as input, but I discovered that it works with datetime objects as well. Explicitly stating so would be great. Thanks!