Skip to main content

Diveplane Reactor and Scikit Estimator for the interpretable Machine Learning and Artificial Intelligence API Diveplane.

Project description

Diveplane Reactor™

Diveplane is an Understandable AI platform which is rooted in instance-based machine learning and harnesses a fast spatial query system and information theory for performance, accuracy, and auditability. With Diveplane, your data is the model. As such, your data is stored in memory and predictions about a new data point are made given its relationship to the original data. This enables powerful decision making based on historical observations, augmented by rich explanations to understand why those decisions were made. As an explainable AI toolkit, Diveplane's interpretability features provide users opportunities to evaluate which data contribute to predictions, identify similar data to the predictions, and determine if new data and predictions are surprising compared to the original data. Additional Diveplane capabilities include targetless learning, allowing users to characterize and predict any set of variables, real-time editing for online learning, data imputation, and discriminative and generative modeling. By combining the features of Diveplane, users can analyze their data in way not typically achievable using other state-of-the-art AI techniques.

For questions or support, please email support@diveplane.com.

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

diveplane_reactor_api-6.5.8-py3-none-any.whl (282.8 kB view details)

Uploaded Python 3

File details

Details for the file diveplane_reactor_api-6.5.8-py3-none-any.whl.

File metadata

File hashes

Hashes for diveplane_reactor_api-6.5.8-py3-none-any.whl
Algorithm Hash digest
SHA256 58a4c1830c745be599f38c712c4efc443c458313f0a44b8b6c0bb7f968ed0b54
MD5 357f0ac28f8069debfc0d15b8ce2837c
BLAKE2b-256 6128df9fad6acbe460706fde72baa0e3749dd74f7afc1204d8cfd6b23406b56f

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page