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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Amazon SageMaker Clarify offers machine learning (ML) practitioners specialized tools designed to enhance their understanding of ML training datasets and models. It identifies and quantifies potential biases through various metrics, enabling developers to tackle these biases and clarify model outputs. Bias detection can occur at different stages, including during data preparation, post-model training, and in the deployed model itself. For example, users can assess age-related bias in both their datasets and the resulting models, receiving comprehensive reports that detail various bias types. In addition, SageMaker Clarify provides feature importance scores that elucidate the factors influencing model predictions and can generate explainability reports either in bulk or in real-time via online explainability. These reports are valuable for supporting presentations to customers or internal stakeholders, as well as for pinpointing possible concerns with the model's performance. Furthermore, the ability to continuously monitor and assess model behavior ensures that developers can maintain high standards of fairness and transparency in their machine learning applications.

Description

Spherical Defense is an innovative API security solution that leverages deep unsupervised learning techniques to safeguard your APIs effectively. The Spherical Defense Express variant is designed for deployment on AWS and can be downloaded in just one minute, starting its protective measures within two hours at an economical rate of $1 per hour. After setting up your Spherical instance, it begins monitoring API traffic right away and continues to do so until it gathers enough data for initial model training. Once approximately 16,000 requests are processed, the system transitions to the training phase, where it refines its security model over about six hours before undergoing evaluation. As the system continues to receive new data, it adapts by training additional models to reflect changes in your API's traffic patterns over time. The process of training and adapting ensures ongoing protection, making it a dynamic and responsive security solution for your APIs. After the evaluation of the trained security model, the system is better equipped to handle future threats effectively.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS Marketplace
Amazon S3
Amazon SageMaker
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Apigee
Kong Konnect
Slack
Splunk Cloud Platform

Integrations

AWS Marketplace
Amazon S3
Amazon SageMaker
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Apigee
Kong Konnect
Slack
Splunk Cloud Platform

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$1 per hour
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Amazon

Founded

2006

Country

United States

Website

aws.amazon.com/sagemaker/clarify/

Vendor Details

Company Name

Spherical Defense

Founded

2017

Country

United States

Website

sphericaldefence.com/product/

Product Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Product Features

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