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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Declarative machine learning systems offer an ideal combination of flexibility and ease of use, facilitating the rapid implementation of cutting-edge models. Users concentrate on defining the “what” while the system autonomously determines the “how.” Though you can start with intelligent defaults, you have the freedom to adjust parameters extensively, even diving into code if necessary. Our team has been at the forefront of developing declarative machine learning systems in the industry, exemplified by Ludwig at Uber and Overton at Apple. Enjoy a selection of prebuilt data connectors designed for seamless compatibility with your databases, data warehouses, lakehouses, and object storage solutions. This approach allows you to train advanced deep learning models without the hassle of infrastructure management. Automated Machine Learning achieves a perfect equilibrium between flexibility and control, all while maintaining a declarative structure. By adopting this declarative method, you can finally train and deploy models at the speed you desire, enhancing productivity and innovation in your projects. The ease of use encourages experimentation, making it easier to refine models based on your specific needs.

Description

Select the necessary configuration and resources for particular code segments in your ongoing project, as it only takes a few seconds to implement changes in a training scenario and secure the results. Opt for the appropriate setup for computational resources to initiate model training in mere seconds, allowing everything to be generated automatically without the hassle of infrastructure management. You can choose between serverless or dedicated operating modes, and efficiently manage project data, saving it to datasets while establishing connections to databases, object storage, or other repositories, all from a single interface. Collaborate with teammates globally to develop a machine learning model, share the project, and allocate budgets for teams throughout your organization. Launch your machine learning initiatives in minutes without requiring developer assistance, and conduct experiments that enable the simultaneous release of various model versions. This streamlined approach fosters innovation and enhances collaboration among team members, ensuring that everyone is on the same page.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Redshift
Apache Hive
Jupyter Notebook
LiteLLM
MySQL
Opik
PostgreSQL
PyTorch
Python
Snowflake
TensorFlow
Yandex Cloud
Yandex Data Proc
YandexGPT

Integrations

Amazon Redshift
Apache Hive
Jupyter Notebook
LiteLLM
MySQL
Opik
PostgreSQL
PyTorch
Python
Snowflake
TensorFlow
Yandex Cloud
Yandex Data Proc
YandexGPT

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$0.095437 per GB
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Predibase

Country

United States

Website

predibase.com

Vendor Details

Company Name

Yandex.Cloud

Founded

1997

Country

Russia

Website

cloud.yandex.com/en/services/datasphere

Product Features

Machine Learning

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

Product Features

Machine Learning

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

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