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.
2 maintainers
Metadata
2 maintainers
Release files for diveplane-reactor-api 6.5.9
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| diveplane_reactor_api-6.5.9-py3-none-any.whl | Python 3 | none | any | Details |
Release files / diveplane_reactor_api-6.5.9-py3-none-any.whl
| Download URL | diveplane_reactor_api-6.5.9-py3-none-any.whl |
|---|---|
| Size | 282.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
ed1965cd4d4003bb6b9617752bac8ce0ae522c522456ee4f552b5155b2f7b710
|
|
BLAKE2b-256 checksum How to use checksums |
ff189bc8b97e9ad805d9c2028ad8cda577b72345b5c5c9f330355cba9bd030ad
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.4
|
