{"id":80699,"date":"2026-01-24T18:14:30","date_gmt":"2026-01-24T23:14:30","guid":{"rendered":"https:\/\/cals.ncsu.edu\/psi\/?post_type=tribe_events&#038;p=80699"},"modified":"2026-01-24T18:21:03","modified_gmt":"2026-01-24T23:21:03","slug":"managing-models-in-sas-viya-part-two","status":"publish","type":"tribe_events","link":"https:\/\/cals.ncsu.edu\/psi\/event\/managing-models-in-sas-viya-part-two\/","title":{"rendered":"Managing Models in SAS Viya (Part Two)"},"content":{"rendered":"<div class=\"tribe-events-single-event-description tribe-events-content\">\n<p>Join the N.C. Ag Analytics Platform for the second session in our two-part training course on managing machine learning models in SAS Viya. This event, a followup to the session held Feb. 9, takes place from 9 a.m. to 12:30 p.m. We will continue to walk through how models are managed in SAS Viya Model Manager, demonstrating how to:<\/p>\n<div>\n<div>\n<ul>\n<li>Manage SAS Model Manager data sources<\/li>\n<li>Import models into SAS Model Manager<\/li>\n<li>Work with Python, R, and SAS models<\/li>\n<li>Score models<\/li>\n<li>Create performance reports<\/li>\n<li>Schedule Model Manager jobs<\/li>\n<\/ul>\n<p>Open to NC&#160;State students and faculty and staff members, the session takes place in Room 3158 of NC&#160;State\u2019s Plant Sciences Building (840 Oval Drive) and will be limited to 15 participants. If you are interested in attending, please email\u00a0<a href=\"mailto:nc-ag-analytics@ncsu.edu\" target=\"_blank\" rel=\"noopener\">nc-ag-analytics@ncsu.edu.<\/a><\/p>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Join us for the second in our two-part training course on managing machine learning models in SAS Viya.<\/p>\n","protected":false},"author":22,"featured_media":0,"template":"","meta":{"_acf_changed":false,"source":"","ncst_custom_author":"","ncst_show_custom_author":false,"ncst_dynamicHeaderBlockName":"","ncst_dynamicHeaderData":"","ncst_content_audit_freq":"","ncst_content_audit_date":"","_tribe_events_status":"","_tribe_events_status_reason":"","_tribe_events_is_hybrid":"","_tribe_events_is_virtual":"","_tribe_events_virtual_video_source":"","_tribe_events_virtual_embed_video":"","_tribe_events_virtual_linked_button_text":"","_tribe_events_virtual_linked_button":"","_tribe_events_virtual_show_embed_at":"","_tribe_events_virtual_show_embed_to":[],"_tribe_events_virtual_show_on_event":"","_tribe_events_virtual_show_on_views":"","_tribe_events_virtual_url":"","footnotes":"","_links_to":"","_links_to_target":""},"tags":[262,230],"tribe_events_cat":[102],"class_list":["post-80699","tribe_events","type-tribe_events","status-publish","hentry","tag-ai","tag-artificial-intelligence","tribe_events_cat-research","cat_research"],"acf":[],"_links":{"self":[{"href":"https:\/\/cals.ncsu.edu\/psi\/wp-json\/wp\/v2\/tribe_events\/80699","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cals.ncsu.edu\/psi\/wp-json\/wp\/v2\/tribe_events"}],"about":[{"href":"https:\/\/cals.ncsu.edu\/psi\/wp-json\/wp\/v2\/types\/tribe_events"}],"author":[{"embeddable":true,"href":"https:\/\/cals.ncsu.edu\/psi\/wp-json\/wp\/v2\/users\/22"}],"version-history":[{"count":2,"href":"https:\/\/cals.ncsu.edu\/psi\/wp-json\/wp\/v2\/tribe_events\/80699\/revisions"}],"predecessor-version":[{"id":80702,"href":"https:\/\/cals.ncsu.edu\/psi\/wp-json\/wp\/v2\/tribe_events\/80699\/revisions\/80702"}],"wp:attachment":[{"href":"https:\/\/cals.ncsu.edu\/psi\/wp-json\/wp\/v2\/media?parent=80699"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cals.ncsu.edu\/psi\/wp-json\/wp\/v2\/tags?post=80699"},{"taxonomy":"tribe_events_cat","embeddable":true,"href":"https:\/\/cals.ncsu.edu\/psi\/wp-json\/wp\/v2\/tribe_events_cat?post=80699"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}