[ https://issues.apache.org/jira/browse/MADLIB-1461?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Frank McQuillan updated MADLIB-1461: ------------------------------------ Summary: DL - add caching param to autoML interface (was: DL - add cacheing param to autoML interface) > DL - add caching param to autoML interface > ------------------------------------------ > > Key: MADLIB-1461 > URL: https://issues.apache.org/jira/browse/MADLIB-1461 > Project: Apache MADlib > Issue Type: New Feature > Components: Deep Learning > Reporter: Frank McQuillan > Priority: Major > Fix For: v1.18.0 > > > This param exists for mult model fit but needs to be added to autoML in the > same way: > {code} > use_caching (optional) > BOOLEAN, default: FALSE. Use caching of images in memory on the segment in > order to speed up processing. > Note > When set to TRUE, image byte arrays on each segment are maintained in cache > (SD). This can speed up training significantly, however the memory usage per > segment increases. In effect, it requires enough available memory on a > segment so that all images residing on that segment can be read into memory. > {code} -- This message was sent by Atlassian Jira (v8.3.4#803005)