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aayrapet/ml_parametric

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Project about parametric ML algorithms such as linear, logistic regression and their extensions, as well as Neural Networks and others

active 2024-03-03 → 2025-01-31 (UTC)

Complete coverage26,646 / 26,646 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-08-29 (UTC)
Events
68
Pushes
34
Pull requests
0
Issues
24
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 335 days from 2024-03-03 to 2025-01-31. Pushes: 34 total, peak 7 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 24 total, peak 5 in a day. Comments: 7 total, peak 2 in a day. Stars: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
aayrapet653407

Recent activity

Latest issues, pull requests and releases

  • Issue#18aayrapet2025-01-31 13:18
    vanilla NN creation
  • Issue#17aayrapet2025-01-18 15:00
    time series tests
  • Issue#16aayrapet2025-01-18 15:00
    time series variables selection
  • Issue#15aayrapet2025-01-18 14:59
    time series coding
  • Issue#14aayrapet2024-04-20 16:03
    change folder structure
  • Issue#13aayrapet2024-04-13 15:05
    Add other param models
  • Issue#12aayrapet2024-04-09 20:45
    Code cleaning and deleting old comments
  • Issue#4aayrapet2024-04-08 22:27
    add regularisation for both regressions
  • Issue comment#4aayrapet2024-04-08 22:27
    add regularisation for both regressions
  • Issue#11aayrapet2024-04-07 23:17
    one nb per analysis-> split test notebook and create a folder
  • Issue#1aayrapet2024-04-07 23:16
    add NR to softmax LogRes
  • Issue#7aayrapet2024-04-04 09:01
    K-1 classes columns vs K classes columns Log STMX
  • Issue#10aayrapet2024-04-04 09:00
    for logistic regression add odds ratio, marginal effects, significance testing for both
  • Issue comment#1aayrapet2024-03-14 23:18
    add NR to softmax LogRes
  • Issue comment#7aayrapet2024-03-14 22:50
    K-1 classes columns vs K classes columns Log STMX
  • Issue comment#3aayrapet2024-03-13 21:07
    add AutoSelect to Linear and Logistic regression, do in the same way for Cross validation(maybe)
  • Issue#10aayrapet2024-03-13 21:06
    for logistic regression add odds ratio, marginal effects, significance testing for both
  • Issue#9aayrapet2024-03-13 21:05
    inference for multiclass case (OVR & SFTMX)
  • Issue#8aayrapet2024-03-13 21:04
    for linear regression add tests of validity
  • Issue#7aayrapet2024-03-13 21:00
    K-1 classes columns vs K classes columns Log STMX
  • Issue comment#6aayrapet2024-03-13 20:59
    debug autoselection FBS for OVR and softmax
  • Issue#6aayrapet2024-03-13 20:59
    debug autoselection FBS for OVR and softmax
  • Issue#6aayrapet2024-03-06 16:42
    debug autoselection FBS for OVR and softmax
  • Issue comment#3aayrapet2024-03-06 16:41
    add AutoSelect to Linear and Logistic regression, do in the same way for Cross validation(maybe)
  • Issue#5aayrapet2024-03-05 22:17
    for linear g add more statistical tests of validity, to logistic add odds ratio, inference for multiclass

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.