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

This version

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

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-0.3.1.tar.gz (89.6 kB view details)

Uploaded Source

Built Distribution

hi_ml-0.3.1-py3-none-any.whl (107.4 kB view details)

Uploaded Python 3

File details

Details for the file hi-ml-0.3.1.tar.gz.

File metadata

  • Download URL: hi-ml-0.3.1.tar.gz
  • Upload date:
  • Size: 89.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for hi-ml-0.3.1.tar.gz
Algorithm Hash digest
SHA256 00d79d54629425bba731a09aa5de69c42c35313ebb13283f56bbd54252ec33e1
MD5 2e92563b79a1e21ca9d63c567256181b
BLAKE2b-256 05e848f283a820dd621ac17cb095c75edce9d9bc99643ad3e614ec7c91ad6aa0

See more details on using hashes here.

File details

Details for the file hi_ml-0.3.1-py3-none-any.whl.

File metadata

  • Download URL: hi_ml-0.3.1-py3-none-any.whl
  • Upload date:
  • Size: 107.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for hi_ml-0.3.1-py3-none-any.whl
Algorithm Hash digest
SHA256 0fc963c1ae30a0bdec2d30d32d17c6f3f4af18c7c0c20f4f2cd9cb12e597c309
MD5 809afd7deea12a3baef56be7535342df
BLAKE2b-256 3ddebdcd73f82b784d0fa6c2726f7605e7c9212230adedf5dc7d29c929851662

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