NimbusML

Navigation

Verified details

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

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: All rights reserved
  • Author: Microsoft
  • Tags microsoft, ml, ML.NET, machine, learning, nimbusml
  • Requires: Python >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, <3.8.*
Classifiers

Project description

NimbusML

nimbusml provides battle-tested state-of-the-art ML algorithms, transforms and components, aiming to make them useful for all developers, data scientists, and information workers and helpful in all products, services and devices. The components are authored by the team members, as well as numerous contributors from MSR, CISL, Bing and other teams at Microsoft.

nimbusml is interoperable with scikit-learn estimators and transforms, while adding a suite of highly optimized algorithms written in C++ and C# for speed and performance. nimbusml trainers and transforms support the following data structures for the fit() and transform() methods:

  • numpy.ndarray
  • scipy.sparse_cst
  • pandas.DataFrame.

In addition, nimbusml also supports streaming from files without loading the dataset into memory, which allows training on data significantly exceeding memory using FileDataStream.

With FileDataStream nimbusml is able to handle up to billion features and billions of training examples for select algorithms.

For more details, please refer to the documentation: https://docs.microsoft.com/en-us/nimbusml.

Project details

Verified details

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

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: All rights reserved
  • Author: Microsoft
  • Tags microsoft, ml, ML.NET, machine, learning, nimbusml
  • Requires: Python >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, <3.8.*
Classifiers

Release history Release notifications | RSS feed

1.8.0

1.7.1

1.7.0

1.6.1

1.6.0

1.5.0

1.4.2

1.4.1

This version

1.4.0

1.3.0

1.2.0

1.1.0

Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

nimbusml-1.4.0-cp37-none-win_amd64.whl (49.6 MB view details)

Uploaded CPython 3.7 Windows x86-64

nimbusml-1.4.0-cp37-none-manylinux1_x86_64.whl (99.6 MB view details)

Uploaded CPython 3.7

nimbusml-1.4.0-cp37-none-macosx_10_11_x86_64.whl (113.7 MB view details)

Uploaded CPython 3.7 macOS 10.11+ x86-64

nimbusml-1.4.0-cp36-none-win_amd64.whl (49.6 MB view details)

Uploaded CPython 3.6 Windows x86-64

nimbusml-1.4.0-cp36-none-manylinux1_x86_64.whl (99.6 MB view details)

Uploaded CPython 3.6

nimbusml-1.4.0-cp36-none-macosx_10_11_x86_64.whl (113.7 MB view details)

Uploaded CPython 3.6 macOS 10.11+ x86-64

nimbusml-1.4.0-cp35-none-win_amd64.whl (49.6 MB view details)

Uploaded CPython 3.5 Windows x86-64

nimbusml-1.4.0-cp35-none-manylinux1_x86_64.whl (99.6 MB view details)

Uploaded CPython 3.5

nimbusml-1.4.0-cp35-none-macosx_10_11_x86_64.whl (113.7 MB view details)

Uploaded CPython 3.5 macOS 10.11+ x86-64

nimbusml-1.4.0-cp27-none-win_amd64.whl (83.1 MB view details)

Uploaded CPython 2.7 Windows x86-64

nimbusml-1.4.0-cp27-none-manylinux1_x86_64.whl (124.7 MB view details)

Uploaded CPython 2.7

nimbusml-1.4.0-cp27-none-macosx_10_11_x86_64.whl (147.5 MB view details)

Uploaded CPython 2.7 macOS 10.11+ x86-64

File details

Details for the file nimbusml-1.4.0-cp37-none-win_amd64.whl.

File metadata

  • Download URL: nimbusml-1.4.0-cp37-none-win_amd64.whl
  • Upload date:
  • Size: 49.6 MB
  • Tags: CPython 3.7, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.7.3

File hashes

Hashes for nimbusml-1.4.0-cp37-none-win_amd64.whl
Algorithm Hash digest
SHA256 d1c387eb2edd47b7208b1637c9751d83a61c77ca9908a9ddbd3d3f26af675c30
MD5 cd267aa2e2293819673dbae630163d5f
BLAKE2b-256 ce177a1fb1854c26d9fa184a708cab2fee5301f624769ff26e4d001328cbd007

See more details on using hashes here.

File details

Details for the file nimbusml-1.4.0-cp37-none-manylinux1_x86_64.whl.

File metadata

  • Download URL: nimbusml-1.4.0-cp37-none-manylinux1_x86_64.whl
  • Upload date:
  • Size: 99.6 MB
  • Tags: CPython 3.7
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.7.3

File hashes

Hashes for nimbusml-1.4.0-cp37-none-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 dfd9259b025ddc73b5228b1c071060e0a60a627e3aef697f8fdf4c1b059d6f73
MD5 00bf1318d389f09d9cfe32449e0abadd
BLAKE2b-256 a30fc5b8989a364addf08e9641f147b7af81d72d8e20a569bf54c27600922312

See more details on using hashes here.

File details

Details for the file nimbusml-1.4.0-cp37-none-macosx_10_11_x86_64.whl.

File metadata

  • Download URL: nimbusml-1.4.0-cp37-none-macosx_10_11_x86_64.whl
  • Upload date:
  • Size: 113.7 MB
  • Tags: CPython 3.7, macOS 10.11+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.7.3

File hashes

Hashes for nimbusml-1.4.0-cp37-none-macosx_10_11_x86_64.whl
Algorithm Hash digest
SHA256 c56c481e6c50de01e4a4251ac82e870e85a95fd571888fa8ecfc2c5708495bae
MD5 6fd5cb4996871e00a14908d32530384d
BLAKE2b-256 3c4daa50f9e5d19306c6361ecdd4e301f308133a0b986b8b0cf7fa7fa703a7d0

See more details on using hashes here.

File details

Details for the file nimbusml-1.4.0-cp36-none-win_amd64.whl.

File metadata

  • Download URL: nimbusml-1.4.0-cp36-none-win_amd64.whl
  • Upload date:
  • Size: 49.6 MB
  • Tags: CPython 3.6, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.7.3

File hashes

Hashes for nimbusml-1.4.0-cp36-none-win_amd64.whl
Algorithm Hash digest
SHA256 d4933bdb3eb32270eaecd896ebfd33a582f0ccf011c523b33858894c7d7251c4
MD5 3943acb83fc39ff77cb7ceaa60fbb66b
BLAKE2b-256 4b9059925f294e6cdb9c2ab8916985ccbc1f2af67ed2144ba5b7114d7c3a591f

See more details on using hashes here.

File details

Details for the file nimbusml-1.4.0-cp36-none-manylinux1_x86_64.whl.

File metadata

  • Download URL: nimbusml-1.4.0-cp36-none-manylinux1_x86_64.whl
  • Upload date:
  • Size: 99.6 MB
  • Tags: CPython 3.6
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.7.3

File hashes

Hashes for nimbusml-1.4.0-cp36-none-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 f24b9386b6763195b7e52e94a124b9c0949b8a5032906da5bc50db8249aa08d0
MD5 6f41114ed52445f154f26dcdf6584705
BLAKE2b-256 a7da5ce033a2baf1db27adc16d2a8f582bd0e22e3c8cc2e1dccd99a8e4844ccf

See more details on using hashes here.

File details

Details for the file nimbusml-1.4.0-cp36-none-macosx_10_11_x86_64.whl.

File metadata

  • Download URL: nimbusml-1.4.0-cp36-none-macosx_10_11_x86_64.whl
  • Upload date:
  • Size: 113.7 MB
  • Tags: CPython 3.6, macOS 10.11+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.7.3

File hashes

Hashes for nimbusml-1.4.0-cp36-none-macosx_10_11_x86_64.whl
Algorithm Hash digest
SHA256 a4e985ccc37fbc4cfefccc71114f970b4aa43df3d4a556bb6452e2a5fdc5446d
MD5 16bfa5431b36ee422684423f2414d3d8
BLAKE2b-256 b9c21da570e00b3458188055b980b36e157e3b6ae0dd43091bc58a32d6b0f4ba

See more details on using hashes here.

File details

Details for the file nimbusml-1.4.0-cp35-none-win_amd64.whl.

File metadata

  • Download URL: nimbusml-1.4.0-cp35-none-win_amd64.whl
  • Upload date:
  • Size: 49.6 MB
  • Tags: CPython 3.5, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.7.3

File hashes

Hashes for nimbusml-1.4.0-cp35-none-win_amd64.whl
Algorithm Hash digest
SHA256 8a42d17d98b0eca4234fb073c9fa75dbd098f459afe016c8bf035b15adc5c5f8
MD5 49c74d93149664e538e4c8305ebe029d
BLAKE2b-256 23d4b0bb1d3ca8b9861e28010e392fa2df7e2fb3901b3ca688c53b8fcb729968

See more details on using hashes here.

File details

Details for the file nimbusml-1.4.0-cp35-none-manylinux1_x86_64.whl.

File metadata

  • Download URL: nimbusml-1.4.0-cp35-none-manylinux1_x86_64.whl
  • Upload date:
  • Size: 99.6 MB
  • Tags: CPython 3.5
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.7.3

File hashes

Hashes for nimbusml-1.4.0-cp35-none-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 fbbe4dd53522d55a3899fbb8ab4280b769e750c78ba2a7472d4a7a9ffe90070c
MD5 8e12eecba26fb3ab6313e7ededa64cd9
BLAKE2b-256 127caf809a66c48d261d91f31b2529478963a95f8cfdd8e8889ac25116064405

See more details on using hashes here.

File details

Details for the file nimbusml-1.4.0-cp35-none-macosx_10_11_x86_64.whl.

File metadata

  • Download URL: nimbusml-1.4.0-cp35-none-macosx_10_11_x86_64.whl
  • Upload date:
  • Size: 113.7 MB
  • Tags: CPython 3.5, macOS 10.11+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.7.3

File hashes

Hashes for nimbusml-1.4.0-cp35-none-macosx_10_11_x86_64.whl
Algorithm Hash digest
SHA256 675aceb7506b413d8f6b3189f2dc5249cf4556fc80934ebbd3450b652c078ea1
MD5 c1ada320cabbfb45de64e629e2af0a33
BLAKE2b-256 3233bcf7f16816962f21f76abd47306e9fbd5cc82d6bbd038ed315c1ceece6df

See more details on using hashes here.

File details

Details for the file nimbusml-1.4.0-cp27-none-win_amd64.whl.

File metadata

  • Download URL: nimbusml-1.4.0-cp27-none-win_amd64.whl
  • Upload date:
  • Size: 83.1 MB
  • Tags: CPython 2.7, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.7.3

File hashes

Hashes for nimbusml-1.4.0-cp27-none-win_amd64.whl
Algorithm Hash digest
SHA256 fb3df6a6c64713c856435a737969da8f9c714e62012e1df0ca098f90c49e2d87
MD5 a085db38228e1f3a93242913693bbe73
BLAKE2b-256 aca3312f090eb14652ea7cfef9f9341deb7f51160b2f02a720d7321253b73018

See more details on using hashes here.

File details

Details for the file nimbusml-1.4.0-cp27-none-manylinux1_x86_64.whl.

File metadata

  • Download URL: nimbusml-1.4.0-cp27-none-manylinux1_x86_64.whl
  • Upload date:
  • Size: 124.7 MB
  • Tags: CPython 2.7
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.7.3

File hashes

Hashes for nimbusml-1.4.0-cp27-none-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 c87d66c72520d6edf223f33309a5022c1f113849f36f8b4827a4384606fae65e
MD5 737111e92e07f26c02deebfed1b314bd
BLAKE2b-256 399ee647ac97665b1d57f3c0674057c9e14a0fd77b67ed64461a18242a025fb9

See more details on using hashes here.

File details

Details for the file nimbusml-1.4.0-cp27-none-macosx_10_11_x86_64.whl.

File metadata

  • Download URL: nimbusml-1.4.0-cp27-none-macosx_10_11_x86_64.whl
  • Upload date:
  • Size: 147.5 MB
  • Tags: CPython 2.7, macOS 10.11+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.7.3

File hashes

Hashes for nimbusml-1.4.0-cp27-none-macosx_10_11_x86_64.whl
Algorithm Hash digest
SHA256 5a959d5bd4299fed64cab0c9a497d886926bb01303f1c9df1420a2e99b68d907
MD5 dafe1d352ab9683beb4d2d66097ed2c7
BLAKE2b-256 6205cf9cbb3fa84e44df56d40c98ac91be58c3be912bbc3d3e1b6391a53cd530

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