Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[ENH] Distances: Optimize PearsonR/SpearmanR #2852

Merged

Commits on Jan 16, 2018

  1. distance: Speed and memory optimization

    * Use numpy.corrcoef in PearsonR
    * Optimize PearsonR/SpearmanR when computing pairwise distances on
      a single input table
    ales-erjavec committed Jan 16, 2018
    Configuration menu
    Copy the full SHA
    b526400 View commit details
    Browse the repository at this point in the history
  2. distances: Optimize PearsonR/SpearmanR ...

    ... for the case where computing distances from two tables.
    ales-erjavec committed Jan 16, 2018
    Configuration menu
    Copy the full SHA
    3d10937 View commit details
    Browse the repository at this point in the history
  3. Configuration menu
    Copy the full SHA
    f837920 View commit details
    Browse the repository at this point in the history