1 Answer
- Newest
- Most votes
- Most comments
1
Hi,
Take a look at this implementation using scikit_learn
They are all implemented as part of the HandlerService
object.
input_fn
for preprocessing when data comes inpredict_fn
for making a predictionoutput_fn
for postprocessing
Generally, input_fn
and output_fn
have default implementations provided by SageMaker, but predict_fn
does not.
answered 2 years ago
Relevant content
- asked 2 years ago
- asked 8 months ago
- AWS OFFICIALUpdated 5 months ago
- AWS OFFICIALUpdated 2 years ago
- AWS OFFICIALUpdated a year ago
- AWS OFFICIALUpdated 2 years ago
Hi, thanks for the answer, so it means model_fn needs to be mandatorily implemented (overriden) and we can ignore overriding/defining input_fn, predict_fn and output_fn methods while writing entry point script?