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This is great! However, Jupyter Lab is much more versatile and I'd like my team to work on Jupyter Lab. When will Jupyter Lab be the default UI for SageMaker?
Bibliography:
- [Why? Notebooks are f…
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I was wondering if you have any tests on how the REST API for `MODEL` type deployments handle concurrency?
I'm guessing this is the part of the code that handles it, so I would expect the Tornado cor…
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It appears that this repository is out of sync with sagemaker-containers v2.0.2. Are there any plans to update this repository for those changes and if so what is the timeline?
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The model exporter seems to be defined [here](https://github.com/aws/sagemaker-tensorflow-container/blob/master/src/tf_container/trainer.py#L130-L131). There seems to not be a way to define the `asse…
zjost updated
5 years ago
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Has anyone tried using this fork of Donkeycar with AWS SageMaker?
In Jupyter notebook I am issuing the command:
!git clone https://github.com/tawnkramer/donkeycar ~/SageMaker/donkey
but it …
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/kind feature
**CUJ**
- For out-of-box prediction, user can call `KFServing` python sdk to launch KFService with the model uri on notebook after model is trained, this can be integrated with kubef…
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We've discussed this idea before, opening an issue to discuss in the context of v1alpha2.
### Rationale:
KFServing as it currently stands defines an API spec and an implementation for serving. The…
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Hello Team - We are facing an issue when trying to access sagemaker api from Lambda code. The code works fine when the lambda function does not have any VPC/security groups network settings. However, …
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We need a common API for inference. This is critical to being able to support a variety of different frameworks (e.g. TensorFlow, scikits, xgboost).
There's a lot of prior art here. A lot of the ex…
jlewi updated
5 years ago
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Trying to implement kmeans algorithm on MNIST dataset using scikit learn in sagemaker using the following code.
import io
import os
import time
import gzip
import json
import pickle
import mx…