Skip to main content

Trusted Analytics Toolkit

Project description

trusted analytics

trusted analytics is a platform that simplifies applying graph analytics and machine learning to big data for superior knowledge discovery and predictive modeling across a wide variety of use cases and solutions. ATK provides an analytics pipeline spanning feature engineering, graph construction, graph analytics, and machine learning using an extensible, modular framework. By unifying graph and entity-based machine learning, machine learning developers can incorporate an entity’s nearby relationships to yield superior predictive models that better represent the contextual information in the data. All functionality operates at full scale, yet are accessed using a higher level Python data science programming abstraction to significantly ease the complexity of cluster computing and parallel processing. The platform is fully extensible through a plugin architecture that allows incorporating the full range of analytics and machine learning for any solution need in a unified workflow that frees the researchers from the overhead of understanding, integrating, and inefficiently iterating across a diversity of formats and interfaces.

Documentation Source

Project details

Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for trustedanalytics, version 0.7.3.post20161020785
Filename, size File type Python version Upload date Hashes
Filename, size trustedanalytics-0.7.3.post20161020785.tar.gz (296.2 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page