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  • Updated Loss functions (markdown)

    @pmineiro pmineiro committed Oct 26, 2022
    5f58ca8

  • Updated Loss functions (markdown)

    @pmineiro pmineiro committed May 11, 2022
    96cafa1

  • Updated Loss functions (markdown)

    @akshaykr akshaykr committed Apr 8, 2022
    505c216

  • Updated Loss functions (markdown)

    @zwd-ms zwd-ms committed Apr 4, 2022
    0b187e5

  • Updated Loss functions (markdown)

    @zwd-ms zwd-ms committed Mar 29, 2022
    063fabd

  • Updated Loss functions (markdown)

    @zwd-ms zwd-ms committed Mar 24, 2022
    b5d7f05

  • Updated Loss functions (markdown)

    @zwd-ms zwd-ms committed Mar 24, 2022
    0bc2a36

  • Add explanation for loss function implementations.

    @zwd-ms zwd-ms committed Mar 1, 2022
    de2884e

  • Updated Loss functions (markdown)

    @jackgerrits jackgerrits committed Jun 11, 2021
    9770b73

  • Updated Loss functions (markdown)

    @jackgerrits jackgerrits committed Jun 11, 2021
    352656d

  • as zak discovered, squared loss is not divided by 2 in loss_functions.cc

    @pmineiro pmineiro committed Jun 10, 2021
    74b9cdc

  • Fixed table formatting

    Arthur Maciejewicz committed Apr 6, 2017
    15c081d

  • Clarified minimizer for poisson regression

    @MLWave MLWave committed Feb 16, 2017
    8414841

  • Clarified minimizer for poisson regression

    @MLWave MLWave committed Feb 16, 2017
    4c90ea5

  • Added poisson loss (stub)

    @MLWave MLWave committed Feb 16, 2017
    3cad4bc

  • Added note on default loss function override for VWClassifier

    @MLWave MLWave committed Jan 23, 2017
    a403607

  • Replaced missing video with the slides from same talk

    @MLWave MLWave committed Jan 23, 2017
    fd69090

  • Video not found.

    jb-- committed Jan 12, 2017
    419ce4f

  • Updated Loss functions (markdown)

    @nikete nikete committed Apr 8, 2016
    be265de

  • make the png smaller

    @martinpopel martinpopel committed Jul 11, 2015
    70876ee

  • quantile loss formula png (images from sciweavers.org are not permanent URLs)

    @martinpopel martinpopel committed Jul 11, 2015
    da6fbe5

  • fixing the formula for quantile loss: tau means predicting tau-quantile, i.e. tau=0.1 results in lower predictions than tau=0.9

    @martinpopel martinpopel committed Jun 15, 2015
    4a42711

  • Updated Loss functions (markdown)

    @martinpopel martinpopel committed Oct 21, 2014
    e7e08a1

  • Quantile loss is median minimizer

    @MLWave MLWave committed Jul 4, 2014
    be431d5

  • fixed layout table

    @MLWave MLWave committed Jul 4, 2014
    483ee32

  • Added images for the loss functions (if someone can include in repo, thats nicer), added table, added link to John Langford's course. added info for "classic loss"

    @MLWave MLWave committed Jul 4, 2014
    f809755

  • cleanup the links

    arielf committed Jul 24, 2012
    26dc7e7

  • add links to wikipedia

    arielf committed Jul 24, 2012
    2109d14

  • Updated Loss functions (markdown)

    arielf committed Jul 24, 2012
    2329ff3

  • Updated Loss functions (markdown)

    arielf committed Jul 24, 2012
    b75f399