Skip to main content

TL2cgen: Compiler for decision tree models

Project description

PyPI version

TL2cgen is a compiler for decision tree models: you can convert any decision tree models (Random Forests, Gradient Boosting) into C code and compile it to a native binary.

See the documentation for more details.

Project details


Download files

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

Source Distribution

tl2cgen-0.2.0.tar.gz (79.4 kB view details)

Uploaded Source

Built Distributions

tl2cgen-0.2.0-py3-none-win_amd64.whl (719.9 kB view details)

Uploaded Python 3 Windows x86-64

tl2cgen-0.2.0-py3-none-macosx_12_0_arm64.whl (913.6 kB view details)

Uploaded Python 3 macOS 12.0+ ARM64

tl2cgen-0.2.0-py3-none-macosx_10_15_x86_64.macosx_11_0_x86_64.macosx_12_0_x86_64.whl (1.1 MB view details)

Uploaded Python 3 macOS 10.15+ x86-64 macOS 11.0+ x86-64 macOS 12.0+ x86-64

File details

Details for the file tl2cgen-0.2.0.tar.gz.

File metadata

  • Download URL: tl2cgen-0.2.0.tar.gz
  • Upload date:
  • Size: 79.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.8

File hashes

Hashes for tl2cgen-0.2.0.tar.gz
Algorithm Hash digest
SHA256 a266c061c6d717aa03a3f918a6549d0b483a21749223b92f3db3472f569dd093
MD5 3c2c277c141e7404e69045195891a87b
BLAKE2b-256 f9cea7cf5f4057065a14e7cadfeabc5d93c6a7ff4ce0493f1566f87e6a975e86

See more details on using hashes here.

File details

Details for the file tl2cgen-0.2.0-py3-none-win_amd64.whl.

File metadata

  • Download URL: tl2cgen-0.2.0-py3-none-win_amd64.whl
  • Upload date:
  • Size: 719.9 kB
  • Tags: Python 3, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.8

File hashes

Hashes for tl2cgen-0.2.0-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 53b880ddcdd6d3a076a97ff47df32e846522ec2c2194ecb04988cc7707c52f41
MD5 6589568baa83cbcdffbcc5126a48b86a
BLAKE2b-256 3ac61e98cc7ff96c916772f655925836216fbe948777b6169115b3ea934d8d30

See more details on using hashes here.

File details

Details for the file tl2cgen-0.2.0-py3-none-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tl2cgen-0.2.0-py3-none-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9e188a9998b77ecaca11d10aacc3b76fb4f7b576f02a2f3c88a706c459e6cf02
MD5 ca2f617201c343dca50abcd080b38379
BLAKE2b-256 4edcda31e166b271f334d723032f84547b1e1b6af08f7c451366ec509771a3c6

See more details on using hashes here.

File details

Details for the file tl2cgen-0.2.0-py3-none-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tl2cgen-0.2.0-py3-none-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 4f0deafe5226d9558e29cc4450b32cba2754ebf3dca863fe04638b47eeea34d1
MD5 3abfadfb587a1662c1e82bf7c24f2dbf
BLAKE2b-256 79c91e58ab7cf0e1b89892cc1fac1a89680209ed0fb40791992b4697e79f80ac

See more details on using hashes here.

File details

Details for the file tl2cgen-0.2.0-py3-none-macosx_10_15_x86_64.macosx_11_0_x86_64.macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tl2cgen-0.2.0-py3-none-macosx_10_15_x86_64.macosx_11_0_x86_64.macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 b3b362cd7e0debba2214c8904ce5eedb79012b3ebb06a9ea5a4d2774c669c85c
MD5 7cd7634ad774afa09713a506c7bb89e1
BLAKE2b-256 e58a1f685c10a9cd00d53ddaec605efd218fb7c225233a075d9fe5889169eae9

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