Microsoft Health Futures package containing high level ML components

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for antonsc from gravatar.com antonsc Avatar for mebristo from gravatar.com mebristo Avatar for microsoft from gravatar.com microsoft

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Project description

Microsoft Health Intelligence Machine Learning Toolbox

Overview

This toolbox aims at providing low-level and high-level building blocks for Machine Learning / AI researchers and practitioners. It helps to simplify and streamline work on deep learning models for healthcare and life sciences, by providing tested components (data loaders, pre-processing), and deep learning models.

Installation

You can install the latest version from pypi via

pip install hi-ml

Documentation

The detailed package documentation, with examples and API reference, is on readthedocs.

Getting started

Examples that illustrate the use of the hi-ml toolbox can be found on readthedocs.

Changelog

We are relying on Github's auto-generated changelog to describe what went into a release. Please check each individual release to see a full changelog.

Links

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for antonsc from gravatar.com antonsc Avatar for mebristo from gravatar.com mebristo Avatar for microsoft from gravatar.com microsoft

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Release history Release notifications | RSS feed

0.5.2

0.5.1

0.5.0

0.4.3

0.4.2

0.4.1

0.4.0

0.3.4

0.3.2

0.3.1

0.3.0

0.2.19

0.2.18

0.2.16

0.2.15

0.2.14

0.2.13

0.2.12

0.2.11

0.2.9

0.2.8

This version

0.2.7

0.2.6

0.2.5

0.2.4

0.2.3

0.2.2

0.2.1

0.2.0

0.1.12

0.1.11

0.1.10

0.1.9

0.1.8

0.1.7

0.1.6

0.1.5

0.1.4

0.1.0.post598

Download files

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

Source Distribution

hi-ml-0.2.7.tar.gz (79.1 kB view details)

Uploaded Source

Built Distribution

hi_ml-0.2.7-py3-none-any.whl (94.8 kB view details)

Uploaded Python 3

File details

Details for the file hi-ml-0.2.7.tar.gz.

File metadata

  • Download URL: hi-ml-0.2.7.tar.gz
  • Upload date:
  • Size: 79.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.14

File hashes

Hashes for hi-ml-0.2.7.tar.gz
Algorithm Hash digest
SHA256 19034f5c81c1bf55755698175525f38135205f7d1cf8b2c9850c772268cfabce
MD5 e2f18012c01ee62becf7811d78e77524
BLAKE2b-256 23cd6622b6be5c4a0bf1d3ad4f99beefa1bf10baa046b2069b832e5be4afc3b6

See more details on using hashes here.

File details

Details for the file hi_ml-0.2.7-py3-none-any.whl.

File metadata

  • Download URL: hi_ml-0.2.7-py3-none-any.whl
  • Upload date:
  • Size: 94.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.14

File hashes

Hashes for hi_ml-0.2.7-py3-none-any.whl
Algorithm Hash digest
SHA256 4972419011916a90820a2077012b3a6592ea9a6749784dc7b28056e34e4671ff
MD5 8cd7b620f92444660f5c83852f4218f2
BLAKE2b-256 5e21993a3d5ea3d36cca005d1bf9d4b187b8fc1073c2d6713efa4c1f39b226fc

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