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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Enhance machine learning model performance by capturing real-time training metrics and issuing alerts for any detected anomalies. To minimize both time and expenses associated with the training of ML models, the training processes can be automatically halted upon reaching the desired accuracy. Furthermore, continuous monitoring and profiling of system resource usage can trigger alerts when bottlenecks arise, leading to better resource management. The Amazon SageMaker Debugger significantly cuts down troubleshooting time during training, reducing it from days to mere minutes by automatically identifying and notifying users about common training issues, such as excessively large or small gradient values. Users can access alerts through Amazon SageMaker Studio or set them up via Amazon CloudWatch. Moreover, the SageMaker Debugger SDK further enhances model monitoring by allowing for the automatic detection of novel categories of model-specific errors, including issues related to data sampling, hyperparameter settings, and out-of-range values. This comprehensive approach not only streamlines the training process but also ensures that models are optimized for efficiency and accuracy.

Description

Proactively discover, predict, and resolve errors with the continuous code improvement platform.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS Lambda
Amazon CloudWatch
Amazon SageMaker Unified Studio
Asana
Bitbucket
Change Healthcare Data & Analytics
Cortex
DevCycle
GitHub
Heroku
Indent
Jira
Jira Work Management
PyTorch
Slack
Split
Trello
Workato
Zoho Directory

Integrations

AWS Lambda
Amazon CloudWatch
Amazon SageMaker Unified Studio
Asana
Bitbucket
Change Healthcare Data & Analytics
Cortex
DevCycle
GitHub
Heroku
Indent
Jira
Jira Work Management
PyTorch
Slack
Split
Trello
Workato
Zoho Directory

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$19.00/month
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

1994

Country

United States

Website

aws.amazon.com/sagemaker/debugger/

Vendor Details

Company Name

Rollbar

Founded

2012

Country

United States

Website

rollbar.com

Product Features

Machine Learning

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

Product Features

Application Development

Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control
Web App Development

Application Performance Monitoring (APM)

Baseline Manager
Diagnostic Tools
Full Transaction Diagnostics
Performance Control
Resource Management
Root-Cause Diagnosis
Server Performance
Trace Individual Transactions

Bug Tracking

Backlog Management
Filtering
Issue Tracking
Release Management
Task Management
Ticket Management
Workflow Management

Issue Tracking

Assignment Management
Dashboard
Escalation Management
Issue Auditing
Issue Scheduling
Knowledge Base
Project Management
Recurring Issues
Scheduling
Task Management

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