aws / aws/sagemaker-training-toolkit

how to pass predictor script for running batch transformers.

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Dominant language
Python
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Description

**What did you find confusing? Please describe.**
I have custom Catboost model created through the approach , where i am doing some pre-processing before training data.
Request: Do we have any documentation on how pass the customer predictor script to carry out the transformer job on the created estimator???

Contributor guide

Open the contributing guide

Research direction

Start by locating the documentation for SageMaker batch transformer jobs and custom predictor scripts, then check how created estimators and preprocessing are described. Done means documenting the supported way to pass a customer predictor script for a CatBoost estimator during a transformer job.

Written by the indexing model from the issue text.

Assessment

Tech stack
aws, docker, machine-learning, python
Domain
documentation, machine-learning
Issue type
Documentation
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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