|
Today, I’m excited to announce a new, redesigned consumer interface (UI) for Amazon SageMaker Studio.
SageMaker Studio gives a single, web-based visible interface the place you possibly can carry out all machine studying (ML) improvement steps with a complete set of ML instruments. For instance, you possibly can put together knowledge utilizing SageMaker Data Wrangler, construct ML fashions with totally managed notebooks, and deploy fashions utilizing SageMaker’s multi-model endpoints.
Introducing the Redesigned UI for Amazon SageMaker Studio
The redesigned UI makes it simpler so that you can uncover and get began with the ML instruments in SageMaker Studio. One spotlight of the brand new UI features a redesigned navigation menu with hyperlinks to SageMaker capabilities that observe the everyday ML improvement workflow from getting ready knowledge to constructing, coaching, and deploying ML fashions.
We additionally added new dynamic touchdown pages for every of the navigation menu gadgets. These touchdown pages will refresh robotically to indicate the ML sources related for the instrument, equivalent to clusters, characteristic teams, experiments, and mannequin endpoints, as you create or replace them. On every of those pages, you too can discover hyperlinks to movies, tutorials, blogs, or further documentation, that can assist you get began with the corresponding ML instrument in SageMaker Studio.
The new SageMaker Studio Home web page provides you one-click entry to widespread duties and workflows. From right here, you too can open the redesigned Launcher with fast hyperlinks to among the most frequent duties, equivalent to creating a brand new pocket book, opening a code console, or opening a picture terminal.
Let me provide you with a whirlwind tour of the redesigned UI.
New Navigation Menu
The new left navigation menu in SageMaker Studio now helps you uncover and navigate to the proper instruments for every step in your ML improvement workflow. The menu affords clear entry factors to key ML duties, equivalent to knowledge preparation, experimentation, mannequin constructing, and deployments. The menu additionally gives shortcuts to fast begin options and useful content material to speed up your work in SageMaker Studio.
New Landing Pages for SageMaker Features and Capabilities
The new left navigation menu teams related instruments collectively. For instance, should you click on on Data, now you can see the related SageMaker capabilities in your knowledge preparation duties. From right here, you possibly can put together your knowledge with SageMaker Data Wrangler, create and retailer ML options with SageMaker Feature Store, or handle Amazon EMR clusters for large-scale knowledge processing.
If you click on on Data Wrangler, the brand new touchdown web page opens. These touchdown pages are designed that can assist you get began extra simply. You can discover a transient introduction to the instrument and hyperlinks to further sources, equivalent to movies, tutorials, or blogs.
Similar touchdown pages exist for the opposite navigation menu gadgets. For instance, with one click on on AutoML, now you can see your current SageMaker Autopilot experiments or get began by creating a brand new one.
New SageMaker Studio Home Page
We additionally added a brand new SageMaker Studio Home web page with tooltips on key controls within the UI.
The Home web page features a record of Quick actions for widespread duties, equivalent to Open Launcher to create notebooks and different sources. Import & put together knowledge visually takes you to SageMaker Data Wrangler and helps you get began along with your knowledge preparation duties. You can open the brand new Getting Started pocket book or discover further sources, equivalent to documentation and tutorials.
The Prebuilt and automatic options provide help to get began shortly with prebuilt options, pretrained open-source fashions, and AutoML.
In Workflows and duties, you discover a record of related duties for every step in your ML improvement workflow that take you to the proper instrument for the job. For instance, Store, handle, and retrieve options takes you to SageMaker Feature Store and opens the characteristic catalog. Similarly, View all experiments takes you to SageMaker Experiments and opens the experiments record view.
In Quick begin options, you could find pretrained imaginative and prescient, textual content, and tabular fashions, notebooks, and end-to-end options for widespread use instances.
New Getting Started Notebook
SageMaker Studio now features a new Getting Started pocket book that walks you thru the fundamentals of use SageMaker Studio. If you’re a first-time consumer of SageMaker Studio, that is the right beginning place. The pocket book covers every little thing from the basics of JupyterLab to a sensible walkthrough of coaching an ML mannequin. The pocket book additionally gives detailed perception into SageMaker-specific performance, sources, and instruments.
New SageMaker Studio Launcher
The Launcher is designed that can assist you invoke JupyterLab actions and has been optimized to offer you fast entry to essentially the most frequent duties, equivalent to making a pocket book, opening a code console, or opening a picture terminal. In the identical step, you too can select the picture, kernel, occasion kind, or startup script as wanted.
Now Available
The redesigned Amazon SageMaker Studio UI is now accessible in all AWS Regions the place SageMaker Studio is obtainable. The redesigned UI is supported by SageMaker Studio domains operating on JupyterLab 3. For directions on replace the JupyterLab model, see View and replace the JupyterLab model of an app from the console.
Give the brand new consumer expertise a attempt, and tell us what you suppose by means of the purple Feedback widget in SageMaker Studio, or by means of your standard AWS assist contacts.
Start constructing your ML tasks with Amazon SageMaker Studio immediately!
— Antje