CMU TA2 (Built using DARPA D3M ecosystem)

Taking your machine learning capacity to the nth power.

AutoⁿML is an automated machine learning system developed by CMU Auton Lab to power data scientists with efficient model discovery and advanced data analytics. It is designed to be the first step in exploratory data science. AutoⁿML leverages powerful methods in machine learning to solve an enriched array of tasks on different data modalities.

AutoⁿML is Carnegie Mellon University's implementation of the Data Driven Discovery program (D3M).

Documentation is available here

Metadata

Release files for autonml 0.3.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for autonml 0.3.3
File	Size	Uploaded	Provenance	Actions
autonml-0.3.3.tar.gz	99.9 kB	Jan 23, 2023	Without provenance	Details for autonml-0.3.3.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for autonml 0.3.3
File	Interpreter	ABI	Platform	Actions Reset
autonml-0.3.3-py3-none-any.whl 91.9 kB Jan 23, 2023 Without provenance	Python 3	none	any	Details for autonml-0.3.3-py3-none-any.whl

Total release size: 191.8 kB

Release files / autonml-0.3.3.tar.gz

Download URL	autonml-0.3.3.tar.gz
Size	99.9 kB
Tags	Source
SHA-256 checksum How to use checksums	`d404399f6955f9265d530c15234b18a7ff5f34fd0864f5c3e330e0189442a6fc`
BLAKE2b-256 checksum How to use checksums	`e1e574b08f39f8a48bd036224ee40a0a23ca7045fffd63cf82979ce3cb0f26e2`
Upload date	Jan 23, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.8.15`

Release files / autonml-0.3.3-py3-none-any.whl

Download URL	autonml-0.3.3-py3-none-any.whl
Size	91.9 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`803be6b9c3c1ba0c677a72c00509cbc7eb72d8c72383dbb0bc6f285b2f36ad9e`
BLAKE2b-256 checksum How to use checksums	`f55efcfa389a703f4910558ef0e5240258976c0db43a0f1809641038bf5f4910`
Upload date	Jan 23, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.8.15`

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This release

0.3.3 This release

Jan 23, 2023 2 release files No provenance

autonml 0.3.3