sagemaker-explaining-credit-decisions
Amazon SageMaker Solution for explaining credit decisions. (by awslabs)
amazon-sagemaker-script-mode
Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.) (by aws-samples)
Our great sponsors
| sagemaker-explaining-credit-decisions | amazon-sagemaker-script-mode | |
|---|---|---|
| 2 | 1 | |
| 94 | 168 | |
| - | 1.2% | |
| 2.4 | 0.0 | |
| 12 months ago | 4 months ago | |
| Python | Jupyter Notebook | |
| Apache License 2.0 | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
sagemaker-explaining-credit-decisions
Posts with mentions or reviews of sagemaker-explaining-credit-decisions.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-08-25.
-
Deploying a LightGBM classifier as a AWS Sagemaker endpoint?
Have looked at: https://sagemaker-examples.readthedocs.io/en/latest/advanced_functionality/scikit_bring_your_own/scikit_bring_your_own.html https://docs.aws.amazon.com/sagemaker/latest/dg/docker-containers-create.html https://sagemaker-immersionday.workshop.aws/lab3/option1.html The above don't specify LightGBM, but the concept of Bring Your Own Container/Algorithm is the same. I think this article might be more than what you need, buy it does reference LightGBM https://github.com/awslabs/sagemaker-explaining-credit-decisions And also this one https://github.com/aws-samples/amazon-sagemaker-script-mode/blob/master/lightgbm-byo/lightgbm-byo.ipynb
-
Ask the Experts: AWS Data Science and ML Experts - - Mar 9th @ 8AM ET / 1PM GMT!
Yes, SageMaker is an end to end service covering data labeling, data preparation, model training, model deployment, model monitoring, etc. This recent video will give you a grand hands-on tour of SageMaker: https://www.twitch.tv/aws/video/929163653. Training and deployment is based on Docker containers, either built-in (algorithms and open source frameworks) or your own. With respect to LightGBM, you can easily start from the built-in scikit-learn container, and add LightGBM to it. Here's a complete example: https://github.com/awslabs/sagemaker-explaining-credit-decisions.
amazon-sagemaker-script-mode
Posts with mentions or reviews of amazon-sagemaker-script-mode.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-08-25.
-
Deploying a LightGBM classifier as a AWS Sagemaker endpoint?
Have looked at: https://sagemaker-examples.readthedocs.io/en/latest/advanced_functionality/scikit_bring_your_own/scikit_bring_your_own.html https://docs.aws.amazon.com/sagemaker/latest/dg/docker-containers-create.html https://sagemaker-immersionday.workshop.aws/lab3/option1.html The above don't specify LightGBM, but the concept of Bring Your Own Container/Algorithm is the same. I think this article might be more than what you need, buy it does reference LightGBM https://github.com/awslabs/sagemaker-explaining-credit-decisions And also this one https://github.com/aws-samples/amazon-sagemaker-script-mode/blob/master/lightgbm-byo/lightgbm-byo.ipynb
What are some alternatives?
When comparing sagemaker-explaining-credit-decisions and amazon-sagemaker-script-mode you can also consider the following projects:
DALEX - moDel Agnostic Language for Exploration and eXplanation
interpret - Fit interpretable models. Explain blackbox machine learning.
shapley - The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
CARLA - CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
MindsDB - The platform for customizing AI from enterprise data