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Description

Apache PredictionIO® is a robust open-source machine learning server designed for developers and data scientists to build predictive engines for diverse machine learning applications. It empowers users to swiftly create and launch an engine as a web service in a production environment using easily customizable templates. Upon deployment, it can handle dynamic queries in real-time, allowing for systematic evaluation and tuning of various engine models, while also enabling the integration of data from multiple sources for extensive predictive analytics. By streamlining the machine learning modeling process with structured methodologies and established evaluation metrics, it supports numerous data processing libraries, including Spark MLLib and OpenNLP. Users can also implement their own machine learning algorithms and integrate them effortlessly into the engine. Additionally, it simplifies the management of data infrastructure, catering to a wide range of analytics needs. Apache PredictionIO® can be installed as a complete machine learning stack, which includes components such as Apache Spark, MLlib, HBase, and Akka HTTP, providing a comprehensive solution for predictive modeling. This versatile platform effectively enhances the ability to leverage machine learning across various industries and applications.

Description

JADBio is an automated machine learning platform that uses JADBio's state-of-the art technology without any programming. It solves many open problems in machine-learning with its innovative algorithms. It is easy to use and can perform sophisticated and accurate machine learning analyses, even if you don't know any math, statistics or coding. It was specifically designed for life science data, particularly molecular data. It can handle the unique molecular data issues such as low sample sizes and high numbers of measured quantities, which could reach into the millions. It is essential for life scientists to identify the biomarkers and features that are predictive and important. They also need to know their roles and how they can help them understand the molecular mechanisms. Knowledge discovery is often more important that a predictive model. JADBio focuses on feature selection, and its interpretation.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

AWS Marketplace Yes 
Apache HBase Yes 
Apache Hadoop YARN Yes 
Apache Spark Yes 
Docker Yes 
Elasticsearch Yes 
Java Yes 
MySQL Yes 
PHP Yes 
PostgreSQL Yes 
Python Yes 
Ruby Yes 
Scala Yes 

Integrations

AWS Marketplace No 
Apache HBase No 
Apache Hadoop YARN No 
Apache Spark No 
Docker No 
Elasticsearch No 
Java No 
MySQL No 
PHP No 
PostgreSQL No 
Python No 
Ruby No 
Scala No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

Free
Basic plan is FREE. Researchers plan starts at $400/mo
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Apache

Country

United States

Website

predictionio.apache.org

Vendor Details

Company Name

JADBio

Founded

2019

Country

United States

Website

jadbio.com

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library Yes 
Model Training Yes 
Natural Language Processing (NLP) No 
Predictive Modeling Yes 
Statistical / Mathematical Tools Yes 
Templates No 
Visualization Yes 

Predictive Analytics

AI / Machine Learning Yes 
Benchmarking No 
Data Blending No 
Data Mining No 
Demand Forecasting No 
For Education No 
For Healthcare Yes 
Modeling & Simulation No 
Sentiment Analysis No 

Qualitative Data Analysis

Annotations No 
Collaboration No 
Data Visualization Yes 
Media Analytics No 
Mixed Methods Research No 
Multi-Language No 
Qualitative Comparative Analysis Yes 
Quantitative Content Analysis No 
Sentiment Analysis No 
Statistical Analysis No 
Text Analytics No 
User Research Analysis Yes 

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