2019-08-27 03:24:20 UTC - chris: Does anyone know how to solve this error ? `"error"`: `"The action produced a response that exceeded the allowed length: 1598438 > 1048576 bytes.`
The maximum size of a result returned from an action is 1MB. Is it can be changed in application.conf like memory limit ? Or someone knows the better method to do ? https://openwhisk-team.slack.com/archives/C3TPCAQG1/p1566876260021000?thread_ts=1566876260.021000&cid=C3TPCAQG1 ---- 2019-08-27 04:56:56 UTC - chetanm: Thats the response size limit as documented in <https://github.com/apache/openwhisk/blob/master/docs/reference.md#system-limits> https://openwhisk-team.slack.com/archives/C3TPCAQG1/p1566881816021100?thread_ts=1566876260.021000&cid=C3TPCAQG1 ---- 2019-08-27 05:45:18 UTC - chris: I know it is limied in 1MB. So do we have method to change the setting or other way to solve ~~? https://openwhisk-team.slack.com/archives/C3TPCAQG1/p1566884718021300?thread_ts=1566876260.021000&cid=C3TPCAQG1 ---- 2019-08-27 05:53:36 UTC - chetanm: The value is specified at <https://github.com/apache/openwhisk/blob/d85a722b66980af8e7dd9a3d61918020ba45bcea/common/scala/src/main/resources/application.conf#L302> so one can change it there or by passing custom config https://openwhisk-team.slack.com/archives/C3TPCAQG1/p1566885216021500?thread_ts=1566876260.021000&cid=C3TPCAQG1 ---- 2019-08-27 13:09:41 UTC - Pepi Paraskevoulakou: hello do anyone have instructions how to create, build and deploy a trained by hisself model docker image and push it in openwhisk? https://openwhisk-team.slack.com/archives/C3TPCAQG1/p1566911381022900?thread_ts=1566911381.022900&cid=C3TPCAQG1 ---- 2019-08-27 13:10:14 UTC - Pepi Paraskevoulakou: i have installed openwhisk locally with docker compose https://openwhisk-team.slack.com/archives/C3TPCAQG1/p1566911414023400 ---- 2019-08-27 13:32:01 UTC - Pepi Paraskevoulakou: how did you create the docker machine learning model? because i am confused with this <https://github.com/apache/openwhisk/blob/master/docs/actions-new.md#runtime-general-requirements> https://openwhisk-team.slack.com/archives/C3TPCAQG1/p1566912721023500?thread_ts=1566295387.062300&cid=C3TPCAQG1 ---- 2019-08-27 13:32:17 UTC - Pepi Paraskevoulakou: how many files do i need to create? https://openwhisk-team.slack.com/archives/C3TPCAQG1/p1566912737023700?thread_ts=1566295387.062300&cid=C3TPCAQG1 ---- 2019-08-27 14:28:26 UTC - Paul Castro: Do you mean a model like a neural net? if so, there’s this example <https://github.com/vinodmut/servemodel> https://openwhisk-team.slack.com/archives/C3TPCAQG1/p1566916106023900?thread_ts=1566911381.022900&cid=C3TPCAQG1 ---- 2019-08-27 15:25:00 UTC - Pepi Paraskevoulakou: and if i want to train a ml model by my own, save it and then build a proper docker image for openwhisk? https://openwhisk-team.slack.com/archives/C3TPCAQG1/p1566919500024100?thread_ts=1566911381.022900&cid=C3TPCAQG1 ---- 2019-08-27 18:12:17 UTC - Pepi Paraskevoulakou: can i create my own machine learning model with docker openwhisk skeleton in python3? https://openwhisk-team.slack.com/archives/C3TPCAQG1/p1566929537025100 ----
