Channels
datahub-flyte
scipy-2023-workshop
flyte-school
agent-support-memverge
flyte-build
flyte-users-berlin
scipy-2023-sprint
auth
flyte-bazel
large-language-models
contribute
bioinformatics-computational-biology
great-content
in-flyte-conversations
flyte-on-gcp
show-and-tell
shameless-promotion
linkedin-flyte
random
deployment
hacktoberfest-2023
flyte-github
feature-discussions
linen-test
flytelab
flytekit-java
integrations
ray-on-flyte
conference-talks
release
flyte-ui-ux
workflow-building-ui-proj
writing-w-sfloris
jobs
hacktoberfest-2022
torch-elastic
flyte-console
engineeringlabs
helsing-flyte
flyte-documentation
konan-integration
databricks-integration
ray-integration
wg-gpu-types
flytekit
ecosystem-unionml
scipy-2022-sprint
announcements
ask-the-community
flyte-deployment
introductions
events
Powered by
#ask-the-community
Title
# ask-the-community
s
seunggs
03/17/2023, 2:52 AM
Hi, has default behavior of flytekit
1.4.1
changed for scikit-learn models? For return hint type, I used
RandomForestClassifier
in
1.2.7
and it was pickled, but now it seems to be
joblib
?
k
Ketan (kumare3)
03/17/2023, 4:18 AM
yes, scikit learn model transformers now ship with flytekit
it is better more portable and reliable
s
seunggs
03/17/2023, 3:49 PM
Got it - thanks!
Post