Red Hat OpenShift Data Science Features
What are the features of Red Hat OpenShift Data Science?
Model Development
- Language Support
- Drag and Drop
- Pre-Built Algorithms
- Model Training
- Pre-Built Algorithms
- Model Training
- Feature Engineering
Machine/Deep Learning Services
- Computer Vision
- Computer Vision
Deployment
- Managed Service
- Application
- Scalability
System
- Data Ingestion & Wrangling
- Language Support
- Drag and Drop
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Red Hat OpenShift Data Science Categories on G2
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Model Development
Language Support | Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript 23 reviewers of Red Hat OpenShift Data Science have provided feedback on this feature. | 88% (Based on 23 reviews) | |
Drag and Drop | Offers the ability for developers to drag and drop pieces of code or algorithms when building models This feature was mentioned in 23 Red Hat OpenShift Data Science reviews. | 88% (Based on 23 reviews) | |
Pre-Built Algorithms | Based on 23 Red Hat OpenShift Data Science reviews. Provides users with pre-built algorithms for simpler model development | 87% (Based on 23 reviews) | |
Model Training | As reported in 23 Red Hat OpenShift Data Science reviews. Supplies large data sets for training individual models | 86% (Based on 23 reviews) | |
Pre-Built Algorithms | Provides users with pre-built algorithms for simpler model development This feature was mentioned in 22 Red Hat OpenShift Data Science reviews. | 85% (Based on 22 reviews) | |
Model Training | Based on 22 Red Hat OpenShift Data Science reviews. Supplies large data sets for training individual models | 86% (Based on 22 reviews) | |
Feature Engineering | As reported in 23 Red Hat OpenShift Data Science reviews. Transforms raw data into features that better represent the underlying problem to the predictive models | 88% (Based on 23 reviews) |
Machine/Deep Learning Services
Computer Vision | Offers image recognition services 22 reviewers of Red Hat OpenShift Data Science have provided feedback on this feature. | 85% (Based on 22 reviews) | |
Natural Language Processing | As reported in 20 Red Hat OpenShift Data Science reviews. Offers natural language processing services | 83% (Based on 20 reviews) | |
Natural Language Generation | As reported in 20 Red Hat OpenShift Data Science reviews. Offers natural language generation services | 86% (Based on 20 reviews) | |
Artificial Neural Networks | Offers artificial neural networks for users This feature was mentioned in 20 Red Hat OpenShift Data Science reviews. | 83% (Based on 20 reviews) | |
Computer Vision | As reported in 22 Red Hat OpenShift Data Science reviews. Offers image recognition services | 88% (Based on 22 reviews) | |
Natural Language Understanding | As reported in 20 Red Hat OpenShift Data Science reviews. Offers natural language understanding services | 86% (Based on 20 reviews) | |
Natural Language Generation | Offers natural language generation services This feature was mentioned in 20 Red Hat OpenShift Data Science reviews. | 86% (Based on 20 reviews) | |
Deep Learning | Based on 21 Red Hat OpenShift Data Science reviews. Provides deep learning capabilities | 87% (Based on 21 reviews) |
Deployment
Managed Service | Based on 22 Red Hat OpenShift Data Science reviews. Manages the intelligent application for the user, reducing the need of infrastructure | 86% (Based on 22 reviews) | |
Application | Allows users to insert machine learning into operating applications This feature was mentioned in 22 Red Hat OpenShift Data Science reviews. | 88% (Based on 22 reviews) | |
Scalability | Provides easily scaled machine learning applications and infrastructure 22 reviewers of Red Hat OpenShift Data Science have provided feedback on this feature. | 85% (Based on 22 reviews) | |
Managed Service | As reported in 23 Red Hat OpenShift Data Science reviews. Manages the intelligent application for the user, reducing the need of infrastructure | 88% (Based on 23 reviews) | |
Application | As reported in 23 Red Hat OpenShift Data Science reviews. Allows users to insert machine learning into operating applications | 87% (Based on 23 reviews) | |
Scalability | As reported in 23 Red Hat OpenShift Data Science reviews. Provides easily scaled machine learning applications and infrastructure | 86% (Based on 23 reviews) |
System
Data Ingestion & Wrangling | Gives user ability to import a variety of data sources for immediate use 22 reviewers of Red Hat OpenShift Data Science have provided feedback on this feature. | 89% (Based on 22 reviews) | |
Language Support | Based on 23 Red Hat OpenShift Data Science reviews. Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript | 91% (Based on 23 reviews) | |
Drag and Drop | As reported in 23 Red Hat OpenShift Data Science reviews. Offers the ability for developers to drag and drop pieces of code or algorithms when building models | 87% (Based on 23 reviews) |
