pyds | Python library for performing calculations | Privacy library

by reineking Python Version: v0.7 License: BSD-3-Clause

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

kandi X-RAY | pyds Summary

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

This repository is unmaintained. In general please consider probabilistic alternatives with a more solid theoretical foundation. A Python library for performing calculations in the Dempster-Shafer theory of evidence. Features: Support for normalized as well as unnormalized belief functions Different Monte-Carlo algorithms for combining belief functions Various methods related to the generalized Bayesian theorem Measures of uncertainty Methods for constructing belief functions from data. Both Python 2.7 and Python 3.x are supported. See examples.py for how to use it.

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pyds has a low active ecosystem.

It has 108 star(s) with 50 fork(s). There are 7 watchers for this library.

It had no major release in the last 12 months.

There are 4 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pyds is v0.7

Quality

pyds has no bugs reported.

Security

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

License

pyds is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

pyds releases are available to install and integrate.

Deployable package is available in PyPI.

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

Top functions reviewed by kandi - BETA

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

Combine two trajectories
Combine the mass function
Combine a single mass and a rule
Combine the hypothesis
Calculate the power of the mass function
Combine mass functions
Sample from the hypothesis matrix
Generate a mass function from a histogram
Compute the mass function from a histogram
Convert to a frozenset
Calculate the pignistic function
Convert a histogram to a mass function
Combine the given hypothesis
Combine two groups together
Calculate the total error between two groups
Calculate the error between two concatenated files
Calculates the time between two groups
Calculate the error between two groups
Calculate the error between two joint combinations
Calculate the error between two GBT files
Return the set of keys in the set
Print a summary of the functions
Compute the pignistic pignistic distribution
Sample from the hypotheses
Compute the q sum of the distribution
Constructs a mass function from a BEL object
Compute the BEL formula for a given hypothesis
Evaluate the mass function
Compute the conflict between two masses
Compute the conflict between two sets
Apply a function to each group

Get all kandi verified functions for this library.

pyds Key Features

No Key Features are available at this moment for pyds.

pyds Examples and Code Snippets

No Code Snippets are available at this moment for pyds.

Community Discussions

Trending Discussions on pyds

Filling a pandas dataframe with items from a list

How to find out what a python package does

QUESTION

Filling a pandas dataframe with items from a list

Asked 2019-Dec-06 at 15:24

I am building a predictive model for fantasy football. I have scraped a website using Beautiful Soup, parsed the data into lists, created a data frame and populated the two of the columns with the appropriate lists. The parsing code looks like this:

...

ANSWER

Answered 2017-Oct-18 at 17:15

I changed the name of your last column to vs_2 before creating the initial data frame, since you already have a column named vs. After that, the following seems to work:

Source https://stackoverflow.com/questions/46801833

QUESTION

How to find out what a python package does

Asked 2017-Mar-12 at 14:22

EDIT I was being stupid. Just type help('package_name'.'pyb_name') which worked.

I would like to find out what is actually in a python package I have locally downloaded and installed with pip.

Typing help(package_name) just lists NAME, FILE (where the init.py is) and PACKAGE CONTENTS which is just one .pyd file.

I can't open the .pyd file to check what's inside(tbh not all that familiar with .pyds). These two with a 159byte init.pyc are the only files in the package.

I need to use this (not widely available) package for some university work.

Thanks.

...

ANSWER

Answered 2017-Mar-12 at 14:13

You can't know what a python package does unless it is stated in its docs (on PyPI or in the repository) or without reading the code. A Python package can be anything that has a setup.py and either a single module or multiple files under a folder with a __init__.py file in it.

The fact that the __init__.py is empty doesn't mean anything other than the fact that its existence means there's a python package involved.

Any specific package you want to know about, you should look up for documentation or read the code to get a sense of its purpose.

Source https://stackoverflow.com/questions/42748382

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

Vulnerabilities

No vulnerabilities reported

Install pyds

You can install using 'pip install pyds' or download it from GitHub, PyPI.
You can use pyds 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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