In the IterativeImputer, min_value and max_value are defaulted to None. Internally, if they are None min and max value will be affected to -np.inf and np.inf, respectively.

We should change this behaviour and make that the default of min_value=-np.inf and max_value=np.inf directly.

In ch2 Logistic example, when we assume our data follows logistic, why then use Bernoulli after that? In previous examples we only had an assumption of the data distribution and calculated the likelyhood form that. But here why has Bernoulli suddenly appeared when we already get a probability from logistic?

def challenger_joint_log_prob(D, temperature_, alpha, beta):
    """
    Joint log 

• I have searched the issues of this repository and believe that this is not a duplicate.

What problem does this feature solve?

根据v3更新文档 https://www.yuque.com/antv/g2-docs/tutorial-g2-v3-changes ，等高线的旧 API chart.contour() 已经废弃并被 chart.polygon() 替代了，但是新版本的 Demo 中并没有给出相关的例子

What does the proposed API look like?

在 Demo 中给出等高线相关的例子

I don't know if this is worth documenting, but I was playing with the CLI referenced using pageres and came up with a fun little ("little" 😜 ) one-liner:

TMP=$(mktemp)".html";OUT=gitstats-"$(date '+%Y-%m-%d')".png;rm $OUT && git-stats --raw | git-stats-html -o $TMP && pageres $TMP 775x250 --filename="gitstats-<%=date%>" && imgcat $OUT

Aside from a little tempfile and date manipulation to

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!

Need to do some better handling of low-observation models in plot_diagnostics. These are models that shouldn't really be estimated, and we can't really make the plots work, but we shouldn't raise exceptions.

• Any dataset with less than 10 observations will raise an error computing the error autocorrelations:

mod = sm.tsa.statespace.SARIMAX(np.random.normal(size=10), order=(10, 

Missing functionality

On the back of the issue raised - pandas-profiling/pandas-profiling#315 - I would like to request for improved documentation about removed features and alternative ways to overcome them when using the new version of pandas-profiling, starting v2.4.0.

Proposed feature

• docs on why style={'full_width': True}, minify_html=True ca

I think there is a little typo which gives the following error:
TypeError: init() got an unexpected keyword argument 'mu'

I checked the "mixture_gaussian_gibbs.py" example and I suggest the following suggestion
params = {'loc': tf.zeros(5), 'scale': tf.ones(5)}

https://github.com/blei-lab/edward/blob/352596c3bc77e1cb5c01f77ac3283a53c74dbf21/edward/models/param_mixture.py#L36

Description

Calling fit method of Pipeline object throws an expection: UnboundLocalError: local variable 'cloned_transformer' referenced before assignment, when the memory argument is passed an argument. Therfore I am unable to cache any transformers (especially during hyperparameter tuning using a Pipeline object.

Steps/Code to Reproduce

Example:

from imblearn.pipel

Please add an example for EigenvalueDecomposition Class.

TODO (optional): Given a dense 3X3 matrix how can we use this method to get the eigen vectors from this matrix.

Help Topic: http://accord-framework.net/docs/html/T_Accord_Math_Decompositions_EigenvalueDecomposition.htm

Expected behavior and actual behavior.

Right now there are some statistics on the current or a specific branch, I couldn't find a way to output per user commits for instance of all branches. Would be nice to have.

Steps to reproduce the problem.

Specifications like the version of the project, operating system, or hardware.

See:
gonum/gonum#845 (comment)

Hey there @JonnyWong16 , wanted to provide some content for the Wiki, and can't for the life of me figure out how to do a PR for Wiki content.

Below is an Nginx reverse proxy example that will allow users to access Tautulli via tautulli.url.com, and redirects HTTP requests to HTTPS. This configuration passes SSL Labs' test with an "A" grade.

DH Params creation vi

Skimming through the new comparison between tools, I noticed how all of them use the visually noisy hyphen ----- lines. The box drawing characters could be used to have clean, uninterrupted lines. These improve aesthetics and improve readability.
Of course, this requires unicode support. I wasn't sure if the choice of hyphens was deliberate

SeparableConv enables a much greater range of low power, low latency models. MobileNet and other low cost high performance networks generally utilizes SeparableConv for it's efficiency. I am building a real probabilistic inference version of a MobileNet which uses SeparableConv. I am using regular tfp convolution ops for now for initial validation but it is much less efficient and will not be fit

Following #68 that would be very nice to have extra information in the model. Maybe I could find it but I do see that in the documentation:

1. Recovering the early stopping epoch number
2. Recovering the cross validation test and train losses / metrics
3. Recovering eval_set losses / metrics
4. Be able to pass a path to a libffm data format

Hello.
I've come across what (to me) seems to be a problem with the FILENAME and FILENUM variables.

# mlr --version
Miller v5.6.2

# cat /tmp/csv1
A,B,C
_2GB,255,2
_4GB,120,4
_6GB,50,6
_10GB,10,10

# cat /tmp/csv2
FIRST,SECOND,THIRD,FOURTH
1,2,3,4
5,6,7,8
9,10,11,12
13,14,15,16

# mlr --icsv cat then put 'print FILENAME'   /tmp/csv1 /tmp/csv2
/tmp/csv1
A=_2GB,B=255,C=2
/

From the docs for https://simplestatistics.org/docs/#standardnormaltable:

The table used is the cumulative, and not cumulative from 0 to mean.

I'm having trouble understanding this sentence. What is meant by cumulative and not cumulative?

Checklist

Please ensure the following tasks are completed before filing a bug report.

• Read and understood the [Code of Conduct][code-of-conduct].
• Searched for existing issues and pull requests.

Description

Description of the issue.

The following code produces an array whose shape does not match what I'd expect:

The help currently reads:
Vector S get; set;
Gets the singular values (Σ) of matrix in ascending value.

It should be:
descending order of magnitude.

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

I found several useful applications of pseudo-random number sampling in the past. In particular:

• Inverse transform sampling
• Gibbs sampling

(This issue serves a reminder to add the respective methods. Pull requests always welcome.)

When trying to show any of the listed example outputs in the Readme.md, I'm forwarded to a weird site:

Example link:

• http://githubproxy.ejwa.se/wiki/ejwa/gitinspector/examples/django_output.html

The figures in index.rst have URLs that don't work. I looked for them in the source tree, but I don't find them there.