Global Patent Index - EP 3161731 A1

EP 3161731 A1 2017-05-03 - FEATURE PROCESSING TRADEOFF MANAGEMENT

Title (en)

FEATURE PROCESSING TRADEOFF MANAGEMENT

Title (de)

MERKMALSVERARBEITUNGSAUSGLEICHSVERWALTUNG

Title (fr)

GESTION DE COMPROMIS POUR UN TRAITEMENT DE CARACTÉRISTIQUES

Publication

EP 3161731 A1 (EN)

Application

EP 15739124 A

Priority

  • US 201414319880 A
  • US 201414319902 A
  • US 201414460314 A
  • US 201414460312 A
  • US 201414463434 A
  • US 201414484201 A
  • US 201414489449 A
  • US 201414489448 A
  • US 201414538723 A
  • US 201414569458 A
  • US 2015038589 W

Abstract (en)

[origin: WO2016004062A1] At a machine learning service, a set of candidate variables that can be used to train a model is identified, including at least one processed variable produced by a feature processing transformation. A cost estimate indicative of an effect of implementing the feature processing transformation on a performance metric associated with a prediction goal of the model is determined. Based at least in part on the cost estimate, a feature processing proposal that excludes the feature processing transformation is implemented.

IPC 8 full level

G06N 99/00 (2010.01); G06F 40/00 (2020.01)

CPC (source: CN EP US)

G06F 9/5066 (2013.01 - CN EP); G06N 20/00 (2019.01 - EP US); G06N 5/025 (2013.01 - EP)

Designated contracting state (EPC)

AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR

Designated extension state (EPC)

BA ME

DOCDB simple family

WO 2016004062 A1 20160107; CA 2953817 A1 20160107; CA 2953826 A1 20160107; CA 2953959 A1 20160107; CA 2953969 A1 20160107; CN 106575246 A8 20170707; CN 106575246 A 20170419; EP 3161635 A1 20170503; EP 3161731 A1 20170503; EP 3161732 A1 20170503; EP 3161733 A1 20170503; JP 2017524183 A 20170824; JP 2017527008 A 20170914; JP 2017529583 A 20171005; JP 2017530435 A 20171012; JP 6371870 B2 20180808; JP 6419859 B2 20181107; JP 6419860 B2 20181107; JP 6445055 B2 20181226; WO 2016004063 A1 20160107; WO 2016004073 A1 20160107; WO 2016004075 A1 20160107