CatBoost Python Package

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for akhropov from gravatar.com akhropov Avatar for besab from gravatar.com besab Avatar for dmitko from gravatar.com dmitko Avatar for kizill from gravatar.com kizill Avatar for rnefyodov from gravatar.com rnefyodov

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache License, Version 2.0
  • Author: CatBoost Developers
  • Tags catboost
Classifiers

Project description

CatBoost is a fast, scalable, high performance gradient boosting on decision trees library. Used for ranking, classification, regression and other ML tasks.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for akhropov from gravatar.com akhropov Avatar for besab from gravatar.com besab Avatar for dmitko from gravatar.com dmitko Avatar for kizill from gravatar.com kizill Avatar for rnefyodov from gravatar.com rnefyodov

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache License, Version 2.0
  • Author: CatBoost Developers
  • Tags catboost
Classifiers

Release history Release notifications | RSS feed

1.2.7

1.2.6

1.2.5

1.2.3

1.2.2

This version

1.2.1.1

1.2.1

1.2

1.1.1

1.1

1.0.6

1.0.5

1.0.4

1.0.3

1.0.2

1.0.1

1.0.0

0.26.1

0.26

0.25.1

0.25

0.24.4

0.24.3

0.24.2

0.24.1

0.24

0.23.2

0.23.1

0.23

0.22

0.21

0.20.2

0.20.1

0.20

0.19.1

0.18.1

0.18

0.17.5

0.17.4

0.17.3

0.17.2

0.17.1

0.17

0.16.5

0.16.4

0.16.3

0.16.2

0.16.1

0.16

0.15.2

0.15.1

0.15

0.14.2

0.14.1

0.14.0

0.13.1

0.13

0.12.2

0.12.1.1

0.12.1

0.12.0

0.11.2

0.11.1

0.11.0

0.10.4.1

0.10.4

0.10.3

0.10.2

0.10.1

0.10.0

0.9.1.1

0.9.1

0.9

0.9.0a pre-release

0.8.1.1

0.8.1

0.8

0.7.2.3

0.7.2.2

0.7.2.1

0.7.2

0.7.1

0.7

0.6.3

0.6.2

0.6.1.1

0.6.1

0.6

0.5.2.1

0.5.2

0.5.1

0.5

0.4.1

0.4

0.3.1

0.3.0

0.2.5

0.2.4

0.2.2

0.2.1

0.2

0.1.1.9

0.1.1.8

0.1.1.7

0.1.1.6

0.1.1.5

0.1.1.3

0.1.1 yanked

Reason this release was yanked:

This version has error in naming, so it installs in wrong environments

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

catboost-1.2.1.1-cp311-cp311-win_amd64.whl (101.0 MB view details)

Uploaded CPython 3.11 Windows x86-64

catboost-1.2.1.1-cp311-cp311-manylinux2014_x86_64.whl (98.7 MB view details)

Uploaded CPython 3.11

catboost-1.2.1.1-cp311-cp311-manylinux2014_aarch64.whl (97.4 MB view details)

Uploaded CPython 3.11

catboost-1.2.1.1-cp311-cp311-macosx_11_0_universal2.whl (25.7 MB view details)

Uploaded CPython 3.11 macOS 11.0+ universal2 (ARM64, x86-64)

catboost-1.2.1.1-cp310-cp310-win_amd64.whl (101.0 MB view details)

Uploaded CPython 3.10 Windows x86-64

catboost-1.2.1.1-cp310-cp310-manylinux2014_x86_64.whl (98.7 MB view details)

Uploaded CPython 3.10

catboost-1.2.1.1-cp310-cp310-manylinux2014_aarch64.whl (97.4 MB view details)

Uploaded CPython 3.10

catboost-1.2.1.1-cp310-cp310-macosx_11_0_universal2.whl (25.7 MB view details)

Uploaded CPython 3.10 macOS 11.0+ universal2 (ARM64, x86-64)

catboost-1.2.1.1-cp39-cp39-win_amd64.whl (101.0 MB view details)

Uploaded CPython 3.9 Windows x86-64

catboost-1.2.1.1-cp39-cp39-manylinux2014_x86_64.whl (98.7 MB view details)

Uploaded CPython 3.9

catboost-1.2.1.1-cp39-cp39-manylinux2014_aarch64.whl (97.4 MB view details)

Uploaded CPython 3.9

catboost-1.2.1.1-cp39-cp39-macosx_11_0_universal2.whl (25.8 MB view details)

Uploaded CPython 3.9 macOS 11.0+ universal2 (ARM64, x86-64)

catboost-1.2.1.1-cp38-cp38-win_amd64.whl (101.1 MB view details)

Uploaded CPython 3.8 Windows x86-64

catboost-1.2.1.1-cp38-cp38-manylinux2014_x86_64.whl (98.7 MB view details)

Uploaded CPython 3.8

catboost-1.2.1.1-cp38-cp38-manylinux2014_aarch64.whl (97.4 MB view details)

Uploaded CPython 3.8

catboost-1.2.1.1-cp38-cp38-macosx_11_0_universal2.whl (25.7 MB view details)

Uploaded CPython 3.8 macOS 11.0+ universal2 (ARM64, x86-64)

catboost-1.2.1.1-cp37-cp37m-win_amd64.whl (101.0 MB view details)

Uploaded CPython 3.7m Windows x86-64

catboost-1.2.1.1-cp37-cp37m-manylinux2014_x86_64.whl (98.7 MB view details)

Uploaded CPython 3.7m

catboost-1.2.1.1-cp37-cp37m-manylinux2014_aarch64.whl (97.4 MB view details)

Uploaded CPython 3.7m

catboost-1.2.1.1-cp37-cp37m-macosx_11_0_universal2.whl (25.7 MB view details)

Uploaded CPython 3.7m macOS 11.0+ universal2 (ARM64, x86-64)

File details

Details for the file catboost-1.2.1.1-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for catboost-1.2.1.1-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 50e7e921c2cef6a462923c5cd254cba72a17d15b8abff484f43b801cdf7cb471
MD5 877bcd61592e81b20064533e8224b662
BLAKE2b-256 e2a7aed402760cde64ca28b7787ad2a63a3f1d2066c2f058b2d974ce5479e32e

See more details on using hashes here.

Provenance

File details

Details for the file catboost-1.2.1.1-cp311-cp311-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for catboost-1.2.1.1-cp311-cp311-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5cc8fd4b3f3caa55e522c5433f8b258c59a0343161ca14646493deafbdf3ce67
MD5 bb316745ef73976b69ffd39d655f5f41
BLAKE2b-256 ffb4029bf1eb6669463fbac0214f22e37a6fd0a4fcc73cdb18dca20ec1df859b

See more details on using hashes here.

Provenance

File details

Details for the file catboost-1.2.1.1-cp311-cp311-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for catboost-1.2.1.1-cp311-cp311-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 55ae842d8f95bdda563ef22b72147ef7309595824395add1186ecd11893af8cd
MD5 3b2b06ff8aeb8f1ff0e0657d5c53778f
BLAKE2b-256 3a8a1111024336deae603b5399c9963214ba5d5835e74aad4217cbd7aabc8f26

See more details on using hashes here.

Provenance

File details

Details for the file catboost-1.2.1.1-cp311-cp311-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for catboost-1.2.1.1-cp311-cp311-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 230ba7a64f930bc560b3309e3bdd358e845c178b9b3f8916fe1c8b54ccf1a2d4
MD5 c3869e4856956a19aac9e63eb47ba188
BLAKE2b-256 b135d63ad9732ab4142aff68718c322b8474022839520bec377a55567dcb590a

See more details on using hashes here.

Provenance

File details

Details for the file catboost-1.2.1.1-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for catboost-1.2.1.1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 4d2cefda7bdb4662868b4dcf2a3b0900415ca62e4a798450d68cadec2c8f9ce7
MD5 bdb09a79acbbd996353c9b2c981e15ca
BLAKE2b-256 aebb098dd6212f912013e1a3325cd289ea3cfd6e6a1f643192e24549b4b022cf

See more details on using hashes here.

Provenance

File details

Details for the file catboost-1.2.1.1-cp310-cp310-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for catboost-1.2.1.1-cp310-cp310-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e1fc7b16ea6573d3a6e8460d259b8a55a8feed38ad7f3f63827ff27afa9a3864
MD5 fea00980dc5ff018ed86fd6b65f06659
BLAKE2b-256 c720cf12f427b6ea231d06916f1132ad8783f1eb99daa6d72b1ff66ee77235d5

See more details on using hashes here.

Provenance

File details

Details for the file catboost-1.2.1.1-cp310-cp310-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for catboost-1.2.1.1-cp310-cp310-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 17ee5d108f43038cfdff0be3bc310bb623362111d9d242cf55c8925de934a302
MD5 748a58de3c9af1fa4beeb34db57cd7ca
BLAKE2b-256 d1637bbcaa0f2e90aae1806ca004572cc88a40841f5ab066ae8e08cde716dd43

See more details on using hashes here.

Provenance

File details

Details for the file catboost-1.2.1.1-cp310-cp310-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for catboost-1.2.1.1-cp310-cp310-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 0ac8607c67b34f60f7e369dae36d9fb05ba608d4d77cdabaa6750a17242bc9a4
MD5 f62e997afca1e0418e628b6e4e497758
BLAKE2b-256 a0f0ebebad2b2b57ab07c2a61dd302ded3767028abd0057e7d2b93afe939b6c9

See more details on using hashes here.

Provenance

File details

Details for the file catboost-1.2.1.1-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: catboost-1.2.1.1-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 101.0 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.10

File hashes

Hashes for catboost-1.2.1.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 f1069318c32b8ac6114fbebc017cabbb489e19d2604b8726bcc1747de473343d
MD5 c72b8749e5ccb557ae5fe53f69fdf86c
BLAKE2b-256 3ce598d2b5892f7a05d15ef3da5b0c979543a8883ac2300f06927253838c815f

See more details on using hashes here.

Provenance

File details

Details for the file catboost-1.2.1.1-cp39-cp39-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for catboost-1.2.1.1-cp39-cp39-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 122b61d13ad52477a117cdfd4e6d16f14b72c661895d538a1fb04ce2edcaed02
MD5 4893948355b16d7f713662969c832637
BLAKE2b-256 98d8ae323d73cf3e0dbe3e6674d1f90bf09bd72969bddd869a837060d0b04705

See more details on using hashes here.

Provenance

File details

Details for the file catboost-1.2.1.1-cp39-cp39-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for catboost-1.2.1.1-cp39-cp39-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 de53dd534a5aef9b8894049a3ef7dc562d96352b41d6a976f601f77f82db80ba
MD5 3effd328708241ee027f3717329095ff
BLAKE2b-256 cf79c2a9781f45407b57a5c7fb6de19b2e8718251f35ead9884e738179882c79

See more details on using hashes here.

Provenance

File details

Details for the file catboost-1.2.1.1-cp39-cp39-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for catboost-1.2.1.1-cp39-cp39-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 cf73eec3c363474da13305d35f945e2c0792a51cf28a0c0f163a29e2446543ac
MD5 ab71ebf589261407f6f61468b904a88b
BLAKE2b-256 f2b6d28e5ea6617f702cef0d34d56d1e36f338c6a8197999d51013533e778664

See more details on using hashes here.

Provenance

File details

Details for the file catboost-1.2.1.1-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: catboost-1.2.1.1-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 101.1 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.10

File hashes

Hashes for catboost-1.2.1.1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 e5248141cf83b64c5c7bdece683c24c63fc7432ad42399c98c8ea07839ee0137
MD5 65874d96d8a1a0766ea0b29df92421b9
BLAKE2b-256 f1630c3ca343b159c90d1d5e0961524071c782dfae7544b5fb6dfef216fb281d

See more details on using hashes here.

Provenance

File details

Details for the file catboost-1.2.1.1-cp38-cp38-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for catboost-1.2.1.1-cp38-cp38-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e83454dc7a36964698ac8fc4c7a33ae0f9744f0f5c4505e68c8eb19a645eb08b
MD5 5557085cd6d4043e60c940ccbf304317
BLAKE2b-256 5b44dda5afe97133492641ef81c7bf8bec770446d84a3e0eb0355c5458cb111b

See more details on using hashes here.

Provenance

File details

Details for the file catboost-1.2.1.1-cp38-cp38-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for catboost-1.2.1.1-cp38-cp38-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 c41bc876903f7bd79aaaa225e1c3c70da4183584367cda2d986c68e340ad1a70
MD5 a757aa1bbb40d0f4fd341b27f1844873
BLAKE2b-256 b8e0c0b44cf96fb7445473f132199e27235737fbca46374c2619b20275833647

See more details on using hashes here.

Provenance

File details

Details for the file catboost-1.2.1.1-cp38-cp38-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for catboost-1.2.1.1-cp38-cp38-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 70a7f87e212d50ed3b9fd5e8e676c08abdf7b904e67cb228867c5f4e3a788ac4
MD5 fec0df86895ebaecbb94ca4cb87d8046
BLAKE2b-256 4b540ac84d5c1869e377a4dcd50cbec4bae772e7b2185e90a72d3b4de0b6ffcb

See more details on using hashes here.

Provenance

File details

Details for the file catboost-1.2.1.1-cp37-cp37m-win_amd64.whl.

File metadata

File hashes

Hashes for catboost-1.2.1.1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 28755c4b1f68365cb01348492af565616c3c408165508af84a4fb57899023243
MD5 1ae02e829acb23ff588ad2a009c175f5
BLAKE2b-256 2437882351d713784f3c73fbbd53baf58f86cac46edfac318284cc58db44aef6

See more details on using hashes here.

Provenance

File details

Details for the file catboost-1.2.1.1-cp37-cp37m-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for catboost-1.2.1.1-cp37-cp37m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c0fcbaac8fa19356e30f397b2c422b89d777fc913dc548d5a0aa426ff9d7a877
MD5 0dd648040222f56e17bc7513a99b9927
BLAKE2b-256 c726a363575c6d34e134090347a53e3170a8d097c8f97fcfcca9fe5300ba6def

See more details on using hashes here.

Provenance

File details

Details for the file catboost-1.2.1.1-cp37-cp37m-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for catboost-1.2.1.1-cp37-cp37m-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 d351ed1cc949e68004d07abab8e61908ab921fd66e93f416cc2d5c989d8b2e42
MD5 6d6d053ecc11dc756c8fa9acb74f7a21
BLAKE2b-256 0e09931d520dae9c3ea8f914916182f5e3340964683b37ded8ddbe0435475d8b

See more details on using hashes here.

Provenance

File details

Details for the file catboost-1.2.1.1-cp37-cp37m-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for catboost-1.2.1.1-cp37-cp37m-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 efd6b82e428318e1d03baa1969e998b27b03539c3b80f6b2adb3a4e3e50c2956
MD5 4e187f8c191996329584d49b81371e21
BLAKE2b-256 0f690bf875dbf1d2fc509cf9099ca6b328d183647a2198ded84fafc35f0bcd02

See more details on using hashes here.

Provenance

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