• Join/Login
  • Business Software
  • Open Source Software
  • For Vendors
  • Blog
  • About
  • More
    • Articles
    • Create
    • SourceForge Podcast
    • Site Documentation
    • Subscribe to our Newsletter
    • Support Request
SourceForge logo
For Vendors Help Create Join Login
SourceForge logo
Business Software
Open Source Software
SourceForge Podcast
Resources
  • Articles
  • Case Studies
  • Blog
Menu
  • Help
  • Create
  • Join
  • Login
  • Home
  • Open Source Software
  • regression-plot
  • Files

regression-plot Files

python module to create plots for linear and logistic regression

Brought to you by: erichwsteiner
  • Summary
  • Files
  • Reviews
  • Support
Home
Name Modified Size InfoDownloads / Week
regression_plot.py 2018-02-06 6.2 kB
0
regression_plot_test_examples.py 2018-02-02 1.2 kB
0
Totals: 2 Items   7.3 kB 0
Other Useful Business Software
Our Free Plans just got better! | Auth0 Icon
Our Free Plans just got better! | Auth0

With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.

You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
Try free now
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

The database for AI-powered applications.

MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Start Free
Recommended Projects
  • Homemade Machine Learning
    Homemade Machine Learning
    homemade-machine-learning is a repository by Oleksii Trekhleb containing Python implementations of classic machine-learning algorithms done “from scratch”, meaning you don’t rely heavily on high-level libraries but instead write the logic yourself to deepen understanding. Each algorithm is...
  • LIBSVM.jl
    LIBSVM.jl
    LIBSVM bindings for Julia. This is a Julia interface for LIBSVM and for the linear SVM model provided by LIBLINEAR. Supports all LIBSVM models: classification C-SVC, nu-SVC, regression: epsilon-SVR, nu-SVR and distribution estimation: one-class SVM. Model objects are represented by Julia-type...
  • The PyPlot module for Julia
    The PyPlot module for Julia
    This module provides a Julia interface to the Matplotlib plotting library from Python, and specifically to the matplotlib.pyplot module. PyPlot uses the Julia PyCall package to call Matplotlib directly from Julia with little or no overhead (arrays are passed without making a copy). (See also...
  • DataMelt
    DataMelt
    DataMelt (or "DMelt") is an environment for numeric computation, data analysis, computational statistics, and data visualization. This Java multiplatform program is integrated with several scripting languages such as Jython (Python), Groovy, JRuby, BeanShell. DMelt can be used to plot...
  • HyperTools
    HyperTools
    HyperTools is a library for visualizing and manipulating high-dimensional data in Python. It is built on top of matplotlib (for plotting), seaborn (for plot styling), and scikit-learn (for data manipulation). Functions for plotting high-dimensional datasets in 2/3D. Static and animated plots....
SourceForge
  • Create a Project
  • Open Source Software
  • Business Software
  • Top Downloaded Projects
Company
  • About
  • Team
  • SourceForge Headquarters
    1320 Columbia Street Suite 310
    San Diego, CA 92101
    +1 (858) 422-6466
Resources
  • Support
  • Site Documentation
  • Site Status
  • SourceForge Reviews
SourceForge logo
© 2025 Slashdot Media. All Rights Reserved.
Terms Privacy Opt Out Advertise
×
Thanks for helping keep SourceForge clean.
X

Briefly describe the problem (required):
Upload screenshot of ad (required):
Select a file, or drag & drop file here.
✔
✘
Screenshot instructions:

Click URL instructions:
Right-click on the ad, choose "Copy Link", then paste here →
(This may not be possible with some types of ads)

More information about our ad policies

Ad destination/click URL: