mixem | Pythonic Expectation-Maximization implementation | Analytics library

by sseemayer Python Version: 0.1.4 License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | mixem Summary

mixem is a Python library typically used in Analytics, Numpy applications. mixem has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can install using 'pip install mixem' or download it from GitHub, PyPI.

Pythonic Expectation-Maximization (EM) implementation for fitting mixtures of probability densities

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Quality

Security

License

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Support

mixem has a low active ecosystem.

It has 24 star(s) with 14 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 2 have been closed. On average issues are closed in 555 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of mixem is 0.1.4

Quality

mixem has 0 bugs and 0 code smells.

Security

mixem has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

mixem code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

mixem does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

mixem releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

mixem saves you 270 person hours of effort in developing the same functionality from scratch.

It has 655 lines of code, 74 functions and 29 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed mixem and discovered the below as its top functions. This is intended to give you an instant insight into mixem implemented functionality, and help decide if they suit your requirements.

Computes the sum of responsibilities of a mixture of distributions .
Estimate the parameters
Computes the probability of a given distribution .
Compute the log of the sum of the values .
Run mixem .
Generate random data .
Print a simple progress bar plot .
Recover a random distribution .
Read a file .
L2 norm of x .

Get all kandi verified functions for this library.

mixem Key Features

No Key Features are available at this moment for mixem.

mixem Examples and Code Snippets

No Code Snippets are available at this moment for mixem.

Community Discussions

Trending Discussions on mixem

Remove duplicate rows from two different lists?

ggplot2: Multiple density plots not matching parent histogram distribution

QUESTION

Remove duplicate rows from two different lists?

Asked 2020-Feb-21 at 08:10

I am trying to find unique elements in a list which are not present in another list and I have read some posts here but yet I dont get the wanted results. Maybe its because I have mixed strings and int in list?

...

ANSWER

Answered 2020-Feb-21 at 04:50

You can use sets to remove duplicates from list. Please note this is one of the many ways to do it, maybe with pandas, numpy etc.

Source https://stackoverflow.com/questions/60331953

QUESTION

ggplot2: Multiple density plots not matching parent histogram distribution

Asked 2017-Mar-02 at 22:20

I am interested in creating a plot consisting of a histogram with two density plots overlayed. These density plots consist of points from the parent histogram distribution. What I would like to see is like the plot seen in this question - see the answer that produced the red and green distributions.

Here is my data:

...

ANSWER

Answered 2017-Mar-02 at 22:20

First, I think you are plotting perfect normal distributions based on the means and standard deviations of each subset, rather than the actual density-distributions. Second, you are plotting a density histogram based on 500 observations, but then two density curves based on 328 and 172 observations. Trying instead to add two separate geom_histogram and geom_density layers specifying each subset...

Source https://stackoverflow.com/questions/42491473

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install mixem

You can install using 'pip install mixem' or download it from GitHub, PyPI.
You can use mixem like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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