Metadata-Version: 2.1
Name: diveplane-reactor-api
Version: 6.5.8
Summary: Diveplane Reactor and Scikit Estimator for the interpretable Machine Learning and Artificial Intelligence API Diveplane.
Home-page: https://www.diveplane.com
Author: Diveplane Corporation
Author-email: support@diveplane.com
License: Diveplane Corporation Free Software License
Project-URL: Documentation, https://docs.community.diveplane.com/
Keywords: machine learning,artificial intelligence
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: License :: Other/Proprietary License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Operating System :: MacOS
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: Microsoft :: Windows :: Windows 10
Classifier: Operating System :: Microsoft :: Windows :: Windows 11
Classifier: Operating System :: POSIX :: Linux
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: certifi
Requires-Dist: cryptography (>=2.9.2)
Requires-Dist: deprecation (<3,>=2.1.0)
Requires-Dist: Faker (>=4.1.1)
Requires-Dist: humanize (>=4.0.0)
Requires-Dist: mmh3
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: pyjwt (<3,>=2.6.0)
Requires-Dist: pyyaml (<7.0,>=6.0.1)
Requires-Dist: rich (>=12.5.1)
Requires-Dist: scikit-learn
Requires-Dist: semantic-version (<3,>=2.8.5)
Requires-Dist: typing-extensions (<5.0,>=4.1.0)
Requires-Dist: urllib3 (<=2,>=1.26.2)
Requires-Dist: diveplane-openapi-client (==24.0.9)
Requires-Dist: diveplane-amalgam-api (==2.3.12)

# 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.
