pure-LDP | Python package for simple implementations

by Samuel-Maddock Python Version: 1.2.0 License: No License

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

kandi X-RAY | pure-LDP Summary

pure-LDP is a Python library. pure-LDP has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can install using 'pip install pure-LDP' or download it from GitHub, PyPI.

A Python package for simple implementations of state-of-the-art LDP algorithms (Frequency oracles and Heavy Hitters)

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Quality

Security

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Support

pure-LDP has a low active ecosystem.

It has 9 star(s) with 2 fork(s). There are 2 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 2 have been closed. On average issues are closed in 1 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pure-LDP is 1.2.0

Quality

pure-LDP has no bugs reported.

Security

pure-LDP has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

pure-LDP 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

pure-LDP releases are available to install and integrate.

Deployable package is available in PyPI.

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

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

HyperHitter experiment
Plot the results of the experiment
Generate a palette from data
Runs the experiment and plot the results
This is the main function for each experiment
Plot the experiment data
Saves the experiment stats
Runs the experiment and plots the results
This function generates a group of all eps
Plot group - level VaryD plot
Plot a matplotlib plot of group5varyEps
Run the aggregation function
Find the most frequent hitters
Decodes a string into a Fourier transform
Decodes a string into a list of frequencies
Group 5 bloom comparison
Plots the comparison of the group5bloom
Make a table showing the top - 10 histogram
Finds the most frequent hitters in the pipeline
Plot group4 VaryD
Plot group4 vary eps
This function is used for clustering
This function generates a group2vary experiment
This function is used for testing
Group 2 Vary Dary DAG
Plots the group4 Vary VaryD

Get all kandi verified functions for this library.

pure-LDP Key Features

No Key Features are available at this moment for pure-LDP.

pure-LDP Examples and Code Snippets

Pure-LDP,Basic Usage

Python

Lines of Code : 24

License : No License

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import numpy as np
from pure_ldp.frequency_oracles.local_hashing import LHClient, LHServer

# Using Optimal Local Hashing (OLH)

epsilon = 3 # Privacy budget of 3
d = 4 # For simplicity, we use a dataset with 4 possible data items

client_olh = LHCli

Pure-LDP,Installation

Python

Lines of Code : 2

License : No License

Copy

pip install pure-ldp

pip install pure-ldp --upgrade

Community Discussions

No Community Discussions are available at this moment for pure-LDP.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install pure-LDP

Use the package manager pip to install. To upgrade to the latest version. Requires numpy, scipy, xxhash, bitarray and bitstring. For simulation plots, matplotlib and seaborn are required.