Hi I m working through the simple ML flyte demo I am trying

Question

Hi I m working through the simple ML flyte demo I am trying to figure out how far you can go with the ``` pyflyte run remote example py training workflow hyperparameters C 0 1 Go to <http localhost 30080 console projects flytesnacks domains development executions fa1c65afdde414c7d961> to see execution in the console ``` syntax when you have custom dependencies as specified in `requirements txt` I got excited that the run command was somehow passing `scikit learn` along but now I see that `scikit learn` is simply preinstalled in the base image I am curious if there a way to handle custom dependencies without dropping out of the simple `pyflyte run` command and without having to have a kitchen sink style base image

Peter Sulcs · Answer

Looks like my question is probably directly addressed by the docs working through this now <https docs flyte org projects cookbook en latest getting started creating flyte project html creating a flyte project>

Kevin Su · Answer

you can also build a new image with custom dependencies and use `pyflyte run image lt new image name gt `

Peter Sulcs · Answer

cool I saw you can also include a ` task container image=myimage ` but I think that gets ignored when you use `pyflyte run` is that accurate Those get honored when you use `pyflyte register` only

Kevin Su · Answer

by default all the tasks will use the image you pass in pyflyte run if you want to use different image for specific task you could pass the image in task decorator