Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The process of developing a model is inherently iterative, often spanning weeks, months, or even years, and it involves challenges such as reproducing results, maintaining version control, and auditing previous work. It is important to document each phase of model building, as well as the reasoning behind decisions made along the way. Rather than being a secretive file stored away, a model should serve as a clear and accessible resource for all stakeholders to monitor and evaluate consistently. Prevision.io facilitates this by enabling you to log every experiment during training, capturing its attributes, automated analyses, and various versions as your project evolves, regardless of whether you utilize our AutoML or your own methodologies. You can effortlessly experiment with a multitude of feature engineering techniques and algorithm options to create models that perform exceptionally well. With just a single command, the system can explore different feature engineering methods tailored to various data types, such as tabular data, text, or images, ensuring that you extract the maximum value from your datasets while enhancing overall model performance. This comprehensive approach not only streamlines the modeling process but also fosters collaboration and transparency among team members.
Description
Utilize a robust suite of SAS technologies to access, manipulate, analyze, and present information through visual formats. By leveraging SAS Visual Machine Learning, organizations can enhance their analytical capabilities with integrated machine learning and deep learning features, which facilitate improved visualization and reporting practices. This approach allows users to visualize and uncover pertinent relationships within their data. Additionally, the platform supports the creation and sharing of interactive reports and dashboards, alongside enabling self-service analytics to swiftly evaluate potential outcomes, fostering smarter, data-driven decisions. Users can delve into their data and construct or modify predictive analytical models while operating within the SAS® Viya® environment. Collaborative efforts among data scientists, statisticians, and analysts enable iterative model refinement tailored to specific segments or groups, ensuring decisions are informed by precise insights. Moreover, this comprehensive visual interface simplifies the resolution of intricate analytical challenges, efficiently managing every aspect of the analytics lifecycle while promoting a more collaborative environment for all stakeholders involved.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Microsoft 365
No
Microsoft Excel
No
Microsoft Outlook
No
Microsoft PowerPoint
No
Microsoft Word
No
SAS Visual Statistics
No
SAS Viya
No
SkyStem ART
Yes
Integrations
Microsoft 365
Yes
Microsoft Excel
Yes
Microsoft Outlook
Yes
Microsoft PowerPoint
Yes
Microsoft Word
Yes
SAS Visual Statistics
Yes
SAS Viya
Yes
SkyStem ART
No
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
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
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
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Prevision.io
Country
France
Website
prevision.io
Vendor Details
Company Name
SAS
Country
United States
Website
support.sas.com/en/software/visual-machine-learning.html
Product Features
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
Yes
Statistical / Mathematical Tools
Yes
Templates
No
Visualization
No
Product Features
Data Visualization
Analytics
No
Content Management
No
Dashboard Creation
No
Filtered Views
No
OLAP
No
Relational Display
No
Simulation Models
No
Visual Discovery
No
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