{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-10482389","patent":{"patent_number":"US-10482389","title":"Parallel development and deployment for machine learning models","assignee":null,"inventors":[],"filing_date":"2014-12-04T00:00:00.000Z","publication_date":"2019-11-19T00:00:00.000Z","cpc_codes":["G06N","G06N","G06N","G06N","G06N"],"num_claims":20,"abstract":"Example systems and methods of developing a learning model are presented. In one example, a sample data set to train a first learning algorithm is accessed. A number of states for each input of the sample data set is determined. A subset of the inputs is selected, and the sample data set is partitioned into a number of partitions equal to a combined number of states of the selected inputs. A second learning algorithm is created for each of the partitions, wherein each second learning algorithm receives the unselected inputs. Each of the second learning algorithms is assigned to a processor and trained using the samples of the partition corresponding to that algorithm. Decision logic is generated to direct each of a plurality of operational data units as input to one of the second learning algorithms based on states of the selected inputs of the operational data unit."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Parallel development and deployment for machine learning models","description":"Example systems and methods of developing a learning model are presented. In one example, a sample data set to train a first learning algorithm is accessed. A number of states for each input of the sa","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-10482389","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-10482389","citation_suggestion":"Patentable. \"Parallel development and deployment for machine learning models\" (US-10482389). https://patentable.app/patents/US-10482389","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-10482389","json":"https://patentable.app/api/llm-context/US-10482389","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T18:49:17.352Z"}