OpenShiftDemos/rhods-fraud-detection
A lab/workshop for Red Hat OpenShift Data Science using simple fraud detection as an example workload
Jupyter Notebook
Issues
- 1
add call to actions for the notebook
#6 opened by sophwats - 0
update instructions to tell to close flask app
#12 opened by sophwats - 0
fix requirements.txt in app folder
#9 opened by thoraxe - 0
- 0
reference to branch name is incorrect in notebook app/3_packaging_application.ipynb
#14 opened by erwangranger - 0
add warning about container size selection
#15 opened by thoraxe - 0
- 0
- 0
investigate adding more memory to container
#11 opened by thoraxe - 1
- 0
App is broken
#7 opened by sophwats - 0
app requirements issue
#8 opened by sophwats - 0
update the image for the notebook selector
#4 opened by thoraxe