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About

Amazon SageMaker Clarify provides machine learning (ML) developers with purpose-built tools to gain greater insights into their ML training data and models. SageMaker Clarify detects and measures potential bias using a variety of metrics so that ML developers can address potential bias and explain model predictions. SageMaker Clarify can detect potential bias during data preparation, after model training, and in your deployed model. For instance, you can check for bias related to age in your dataset or in your trained model and receive a detailed report that quantifies different types of potential bias. SageMaker Clarify also includes feature importance scores that help you explain how your model makes predictions and produces explainability reports in bulk or real time through online explainability. You can use these reports to support customer or internal presentations or to identify potential issues with your model.

About

Serve your ML model in any cloud in minutes. Unified model packaging format enabling both online and offline serving on any platform. 100x the throughput of your regular flask-based model server, thanks to our advanced micro-batching mechanism. Deliver high-quality prediction services that speak the DevOps language and integrate perfectly with common infrastructure tools. Unified format for deployment. High-performance model serving. DevOps best practices baked in. The service uses the BERT model trained with the TensorFlow framework to predict movie reviews' sentiment. DevOps-free BentoML workflow, from prediction service registry, deployment automation, to endpoint monitoring, all configured automatically for your team. A solid foundation for running serious ML workloads in production. Keep all your team's models, deployments, and changes highly visible and control access via SSO, RBAC, client authentication, and auditing logs.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers searching for a purpose-built tool to gain greater insights into their ML training data and models

Audience

Companies, professionals and developers in search of a solution to simplify model deployment

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Amazon
Founded: 2006
United States
aws.amazon.com/sagemaker/clarify/

Company Information

BentoML
United States
www.bentoml.com

Alternatives

Alternatives

Categories

Categories

Integrations

Amazon SageMaker
Amazon Web Services (AWS)
AWS Lambda
Amazon EC2
Amazon SageMaker Unified Studio
Apache Airflow
Apache Spark
Azure Container Registry
Google Cloud Run
Google Compute Engine
Grafana
H2O.ai
Keras
Knative
Kubernetes
NVIDIA DRIVE
PyTorch
Swagger
TensorFlow
ZenML

Integrations

Amazon SageMaker
Amazon Web Services (AWS)
AWS Lambda
Amazon EC2
Amazon SageMaker Unified Studio
Apache Airflow
Apache Spark
Azure Container Registry
Google Cloud Run
Google Compute Engine
Grafana
H2O.ai
Keras
Knative
Kubernetes
NVIDIA DRIVE
PyTorch
Swagger
TensorFlow
ZenML
Claim Amazon SageMaker Clarify and update features and information
Claim Amazon SageMaker Clarify and update features and information
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Claim BentoML and update features and information