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What is Rinalogy Classification API?

The Rinalogy Classification API presents a versatile machine learning solution that integrates effortlessly with your current application, enabling you to function within your own infrastructure. Unlike conventional cloud-based machine learning APIs that require data transfer and operate externally, Rinalogy can be deployed within your IT environment, thereby ensuring data security and compliance while operating behind your firewall. This API implements Exhaustive Sequential Classification, methodically applying models to each document in a dataset. The models produced can be refined with additional training data or used to forecast outcomes for new documents at a later stage. Its capacity to scale via cluster deployment allows you to adjust the number of workers to fit your existing workload requirements. Moreover, the Rinalogy API enhances client applications by integrating features such as text classification, improved search functionalities, and tailored recommendations, offering a robust toolkit for data-driven decision-making. This adaptability not only boosts efficiency but also empowers organizations to fine-tune their machine learning strategies while retaining oversight of their data, making it a highly attractive option for businesses looking to streamline their operations. Overall, the Rinalogy Classification API stands out as a comprehensive solution for those prioritizing flexibility and security in their machine learning endeavors.

What is Prodigy?

Groundbreaking machine teaching has arrived, featuring an incredibly effective annotation tool powered by active learning. Prodigy stands out as a customizable annotation platform so proficient that data scientists can take charge of the annotation process themselves, facilitating quick iterations. The progress seen in current transfer learning technologies enables the creation of high-quality models with minimal examples. By adopting Prodigy, you can fully harness modern machine learning strategies, engaging in a more adaptable approach to data collection. This capability not only speeds up your workflow but also grants you increased independence, resulting in a significant boost in project success rates. Prodigy combines state-of-the-art insights from both machine learning and user experience design, making it exceptionally versatile. Its continuous active learning framework ensures that you only annotate cases where the model exhibits uncertainty, optimizing your time and effort. The web application is not only robust and adaptable but also complies with the most up-to-date user experience standards. What makes Prodigy truly remarkable is its intuitive design: it allows you to focus on one decision at a time, keeping you actively involved—similar to a swipe-right method for data. Furthermore, this streamlined approach enhances the overall enjoyment and effectiveness of the annotation process, making it an invaluable tool for data scientists. As a result, users can expect not just efficiency but also a more satisfying experience while navigating through their annotation tasks.

Media

Media

Integrations Supported

ZenML

Integrations Supported

ZenML

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$490 one-time fee
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

RINA Systems

Company Location

United States

Company Website

www.rinasystems.com/product/rinalogy-api.html

Company Facts

Organization Name

Explosion

Date Founded

2016

Company Location

Germany

Company Website

prodi.gy/

Categories and Features

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

Categories and Features

Data Labeling

Human-in-the-loop
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
SDK
Supports Audio Files
Task Management
Team Collaboration
Training Data Management

Machine Learning

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

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

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