From 94063f213bc0f89e50b8445cbcd870eae6e5ddac Mon Sep 17 00:00:00 2001 From: Brian Wylie Date: Mon, 10 Apr 2023 09:38:11 -0600 Subject: [PATCH] SageWorks version 0.1.4 --- Readme.md | 4 +++- setup.py | 2 +- 2 files changed, 4 insertions(+), 2 deletions(-) diff --git a/Readme.md b/Readme.md index 6ddf0f4c2..643c0c7b9 100644 --- a/Readme.md +++ b/Readme.md @@ -43,9 +43,11 @@ pip install sageworks ### Gettting Started SageWorks has a large number of classes and components, the best place to get started is our [SageWorks Overview](https://docs.google.com/presentation/d/1ZiSy4ulEx5gfNQS76yRv8vgkehJ9gXRJ1PulutLKzis/edit?usp=sharing) and [SageWorks Wiki](https://github.com/SuperCowPowers/sageworks/wiki) for developers wanting to try out the Python API. +Video: [SageWorks Getting Started](https://drive.google.com/file/d/1iO7IuQtTYdx4BtQjxv9lI1aVJ2ZcAo43/view?usp=sharing) shows an informal screen capture + chatting while I'm coding. The video demonstrates creating an entire AWS ML Pipeline, from data ingestion, to feature sets, to models and endpoints. + You can also join us on Discord for questions and advice on using SageWorks within your organization. -### SageWorks Zen +### SageWorks Zen`` - The AWS SageMaker® set of services is vast and **complex**. - SageWorks Classes encapsulate, organize, and manage sets of AWS® Services. - **Heavy** transforms typically use **[AWS Athena](https://aws.amazon.com/athena/)** or **[Apache Spark](https://spark.apache.org/)** (AWS Glue/EMR Serverless). diff --git a/setup.py b/setup.py index 53ac9772a..53a0dda7a 100644 --- a/setup.py +++ b/setup.py @@ -18,7 +18,7 @@ def get_files(dir_name): setup( name="sageworks", # use_scm_version=True, - version="0.1.2", + version="0.1.4", description="SageWorks: An easy to use WorkBench for creating and deploying SageMaker Models", long_description=readme, long_description_content_type="text/markdown",