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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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 

Screenshots View All

Screenshots View All

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 

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