Some content of this application is unavailable at the moment.
If this situation persist, please contact us atFeedback&Contact
1. (WO2019028468) COMPUTER SYSTEM FOR BUILDING, TRAINING AND PRODUCTIONIZING MACHINE LEARNING MODELS
Latest bibliographic data on file with the International Bureau    Submit observation

Pub. No.: WO/2019/028468 International Application No.: PCT/US2018/045414
Publication Date: 07.02.2019 International Filing Date: 06.08.2018
IPC:
G06N 3/08 (2006.01) ,G06N 5/02 (2006.01) ,G06F 15/18 (2006.01)
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
N
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3
Computer systems based on biological models
02
using neural network models
08
Learning methods
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
N
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
5
Computer systems utilizing knowledge based models
02
Knowledge representation
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
F
ELECTRIC DIGITAL DATA PROCESSING
15
Digital computers in general; Data processing equipment in general
18
in which a programme is changed according to experience gained by the computer itself during a complete run; Learning machines
Applicants:
FAIR IP, LLC [US/US]; 1540 2nd Street, Suite 200 Santa Monica, California 90401, US
Inventors:
NGUYEN, David Luan; US
BOREN, David Scott; US
BARNWAL, Abhishek; US
ALI, Babar; US
Agent:
ADAIR, John L.; US
Priority Data:
62/541,46604.08.2017US
Title (EN) COMPUTER SYSTEM FOR BUILDING, TRAINING AND PRODUCTIONIZING MACHINE LEARNING MODELS
(FR) SYSTÈME INFORMATIQUE POUR CONSTRUIRE, FORMER ET METTRE EN PRODUCTION DES MODÈLES D'APPRENTISSAGE AUTOMATIQUE
Abstract:
(EN) A system for building, training and productionizing machine learning models is disclosed. A model training specification is received, and a plurality of sets of hyper-parameters is obtained. Sets of training data and hyper parameter sets are distributed to distributed training systems. Models are trained in parallel using different sets of training data. Models are trained using multiple sets of hyper parameters. A candidate hyper-parameter set is selected, based on a measure of estimated effectiveness of the trained predictive models, and a production predictive model is generated by training a predictive model using the selected candidate hyper-parameter set and the complete set of training data.
(FR) L'invention concerne un système pour construire, former et mettre en production des modèles d'apprentissage automatique. Une spécification de formation de modèle est reçue, et une pluralité d'ensembles d'hyper-paramètres est obtenue. Des ensembles de données de formation et d'ensembles d'hyper-paramètres sont distribués à des systèmes de formation distribués. Des modèles sont formés en parallèle en utilisant des ensembles de données de formation différents. Des modèles sont formés en utilisant de multiples ensembles d'hyper-paramètres. Un ensemble d'hyper-paramètres candidat est sélectionné, sur la base d'une mesure de l'efficacité estimée des modèles prédictifs formés, et un modèle prédictif de production est généré par formation d'un modèle prédictif en utilisant l'ensemble d'hyper-paramètres candidat sélectionné et l'ensemble complet de données de formation.
front page image
Designated States: AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW
African Regional Intellectual Property Organization (ARIPO) (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, UG, ZM, ZW)
Eurasian Patent Office (AM, AZ, BY, KG, KZ, RU, TJ, TM)
European Patent Office (EPO) (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR)
African Intellectual Property Organization (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, KM, ML, MR, NE, SN, TD, TG)
Publication Language: English (EN)
Filing Language: English (EN)