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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

LiveDebugger is an innovative tool designed to simplify the debugging process for Phoenix LiveView, allowing developers to monitor their applications in real time. By providing a transparent view of the LiveView and LiveComponent architecture, it enhances comprehension of how various components are interrelated and contribute to the overall interface. Developers can readily navigate the component tree, pinpointing the sources of issues with ease, and traverse the hierarchy of a LiveView application without uncertainty regarding which UI element is causing a glitch. Additionally, LiveDebugger empowers users to monitor assigns for any LiveView or LiveComponent in real time, enabling them to track state changes, grasp data flow, and observe value modifications during interactions with the application. Its callback tracing capabilities allow developers to effectively follow lifecycle callbacks, evaluate execution times, assess performance metrics, and filter events to concentrate on the most relevant information. Ultimately, LiveDebugger streamlines the debugging experience, making it an invaluable resource for developers aiming to enhance their workflow efficiency.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS Lambda
Amazon CloudWatch
Amazon SageMaker
Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Change Healthcare Data & Analytics
Elixir
Google Chrome
Keras
MXNet
Mozilla Firefox
PyTorch
TensorFlow

Integrations

AWS Lambda
Amazon CloudWatch
Amazon SageMaker
Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Change Healthcare Data & Analytics
Elixir
Google Chrome
Keras
MXNet
Mozilla Firefox
PyTorch
TensorFlow

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
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

Software Mansion

Founded

2012

Country

Poland

Website

docs.swmansion.com/live-debugger/

Product Features

Machine Learning

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

Product Features

Alternatives

No Alternatives