classicML: 简单易用的经典机器学习框架

build win-build PyPI win-PyPI

classicML 是一个用 Python 和 C++ 混编的机器学习项目，您既可以使用纯 Python 版本进行学习，也可以使用CC标准版进行实验和探索自定义功能。它既实现了Python的简单易用快速上手，又实现了C++的高效性能。classicML的设计目标是简单易用，快速入门，高扩展性和编程风格简洁。更多信息请访问文档网站。

多后端支持

classicML 本身是一个Python项目，但是机器学习中涉及到的复杂的矩阵运算对于Python有点儿捉襟见肘，因此我们提供了使用C++后端的加速版本。为了保证兼容性，classicML默认使用Python后端，现在全部算法支持了使用C++作为后端进行加速，如果您需要使用标准版的classicML，只需在开头使用这条语句切换后端。

import os
os.environ['CLASSICML_ENGINE'] = 'CC'

精度控制

目前，classicML 正在对全部算法支持32位和64位切换精度，使用32位的精度可以获得更快的运行速度和更小固化模型。

import os
os.environ['CLASSICML_PRECISION'] = '32-bit'

第一个机器学习程序

使用线性判别分析进行二分类

下载示例数据集

wget https://github.com/sun1638650145/classicML/blob/master/datasets/西瓜数据集alpha.csv

运行下面的代码

import classicML as cml

DATASET_PATH = '/path/to/西瓜数据集alpha.csv'

# 读取数据
ds = cml.data.Dataset()
ds.from_csv(DATASET_PATH)
# 生成模型
model = cml.models.LDA()
# 训练模型
model.fit(ds.x, ds.y)
# 可视化模型
cml.plots.plot_lda(model, ds.x, ds.y, '密度', '含糖率')

更多示例代码点击

感谢Jetbrains Open Source对项目的支持

v0.9 预览

这个版本将增加cml.models.cluster模块, 并添加几种聚类算法
将在v1.0之前添加100%的类型注释

Metadata

Release files for classicML 0.9

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for classicML 0.9
File	Size	Uploaded
classicML-0.9.tar.gz	92.8 kB	Jun 30, 2022	Details

Built distributions (wheels)

Table of built distributions (wheels) for classicML 0.9
File	Interpreter	ABI	Platform	Reset
classicML-0.9-cp310-cp310-win_amd64.whl 1.1 MB Jun 30, 2022	CPython 3.10	CPython 3.10	Windows x86-64	Details
classicML-0.9-cp310-cp310-manylinux2010_x86_64.whl 1.3 MB Jun 30, 2022	CPython 3.10	CPython 3.10	Linux glibc 2.12+ x86-64	Details
classicML-0.9-cp310-cp310-macosx_11_0_arm64.whl 1.1 MB Jun 30, 2022	CPython 3.10	CPython 3.10	macOS 11.0+ ARM64	Details
classicML-0.9-cp310-cp310-macosx_10_14_x86_64.whl 1.3 MB Jun 30, 2022	CPython 3.10	CPython 3.10	macOS 10.14+ x86-64	Details
classicML-0.9-cp39-cp39-win_amd64.whl 1.1 MB Jun 30, 2022	CPython 3.9	CPython 3.9	Windows x86-64	Details
classicML-0.9-cp39-cp39-manylinux2010_x86_64.whl 1.3 MB Jun 30, 2022	CPython 3.9	CPython 3.9	Linux glibc 2.12+ x86-64	Details
classicML-0.9-cp39-cp39-macosx_11_0_arm64.whl 1.1 MB Jun 30, 2022	CPython 3.9	CPython 3.9	macOS 11.0+ ARM64	Details
classicML-0.9-cp39-cp39-macosx_10_15_x86_64.whl 1.3 MB Jun 30, 2022	CPython 3.9	CPython 3.9	macOS 10.15+ x86-64	Details
classicML-0.9-cp38-cp38-win_amd64.whl 1.1 MB Jun 30, 2022	CPython 3.8	CPython 3.8	Windows x86-64	Details
classicML-0.9-cp38-cp38-manylinux2010_x86_64.whl 1.3 MB Jun 30, 2022	CPython 3.8	CPython 3.8	Linux glibc 2.12+ x86-64	Details
classicML-0.9-cp38-cp38-macosx_11_0_arm64.whl 1.1 MB Jun 30, 2022	CPython 3.8	CPython 3.8	macOS 11.0+ ARM64	Details
classicML-0.9-cp38-cp38-macosx_10_15_x86_64.whl 1.3 MB Jun 30, 2022	CPython 3.8	CPython 3.8	macOS 10.15+ x86-64	Details
classicML-0.9-cp37-cp37m-win_amd64.whl 1.1 MB Jun 30, 2022	CPython 3.7	CPython 3.7 pymalloc	Windows x86-64	Details
classicML-0.9-cp37-cp37m-manylinux2010_x86_64.whl 1.2 MB Jun 30, 2022	CPython 3.7	CPython 3.7 pymalloc	Linux glibc 2.12+ x86-64	Details
classicML-0.9-cp37-cp37m-macosx_10_15_x86_64.whl 1.3 MB Jun 30, 2022	CPython 3.7	CPython 3.7 pymalloc	macOS 10.15+ x86-64	Details

Total release size: 18.0 MB

Release files / classicML-0.9.tar.gz

Download URL	classicML-0.9.tar.gz
Size	92.8 kB
Tags	Source
SHA-256 checksum How to use checksums	`35dcca4a27fe1815730b94983654000da51bf62421966e3c4b8a5118b569af42`
BLAKE2b-256 checksum How to use checksums	`6d0980490d42a70e6ad553599669e96c01cb61961147b3872ae36b201e8d8786`
Upload date	Jun 30, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.1 CPython/3.10.5`

Release files / classicML-0.9-cp310-cp310-win_amd64.whl

Download URL	classicML-0.9-cp310-cp310-win_amd64.whl
Size	1.1 MB
Tags	CPython 3.10 Windows x86-64
SHA-256 checksum How to use checksums	`8a46747c84d4eca62c50ce25cbe1177aa6ea059933db1c47bdada233956a379b`
BLAKE2b-256 checksum How to use checksums	`0465573955d96f95ed13746f6547f653d403873a7696a7fd4c8e9ccb8d7bf1a3`
Upload date	Jun 30, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.1 CPython/3.10.5`

Release files / classicML-0.9-cp310-cp310-manylinux2010_x86_64.whl

Download URL	classicML-0.9-cp310-cp310-manylinux2010_x86_64.whl
Size	1.3 MB
Tags	CPython 3.10 Linux glibc 2.12+ x86-64
SHA-256 checksum How to use checksums	`4b555c3c24bb65e1d05986ba31900e1e8ce74cb4189dfc09f5cfc589859b0873`
BLAKE2b-256 checksum How to use checksums	`7875a667d4fe112810cf0c39283dde0b0107017b47f4de5afb674710e3cc38da`
Upload date	Jun 30, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.1 CPython/3.10.5`

Release files / classicML-0.9-cp310-cp310-macosx_11_0_arm64.whl

Download URL	classicML-0.9-cp310-cp310-macosx_11_0_arm64.whl
Size	1.1 MB
Tags	CPython 3.10 macOS 11.0+ ARM64
SHA-256 checksum How to use checksums	`ed9437df1bf2b82c3bda8b814a84e48ff43c0c7236529c9c8ec855a7ac30459c`
BLAKE2b-256 checksum How to use checksums	`7cdb638664a29c2295de4172f8ddfa58a179a819d12f278ef6daf43d458b11f4`
Upload date	Jun 30, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.1 CPython/3.10.5`

Release files / classicML-0.9-cp310-cp310-macosx_10_14_x86_64.whl

Download URL	classicML-0.9-cp310-cp310-macosx_10_14_x86_64.whl
Size	1.3 MB
Tags	CPython 3.10 macOS 10.14+ x86-64
SHA-256 checksum How to use checksums	`59a6946ee254089d012206b8bf8d43ba7c6de377762458b50970893742737607`
BLAKE2b-256 checksum How to use checksums	`7b407db043cc383b77fe9d1eb5d8a3bcdb865e172a81493319b2ba7c3cb91ef9`
Upload date	Jun 30, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.1 CPython/3.10.5`

Release files / classicML-0.9-cp39-cp39-win_amd64.whl

Download URL	classicML-0.9-cp39-cp39-win_amd64.whl
Size	1.1 MB
Tags	CPython 3.9 Windows x86-64
SHA-256 checksum How to use checksums	`873da632c73c24fbad1f6691bb8ebbaa8980cbd2cc177ce394603c9e3b79c9c9`
BLAKE2b-256 checksum How to use checksums	`86981ff74c3dbec1a39a276863ea2ed4a452e6a74c56d0c539af40211fa02ff0`
Upload date	Jun 30, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.1 CPython/3.9.13`

Release files / classicML-0.9-cp39-cp39-manylinux2010_x86_64.whl

Download URL	classicML-0.9-cp39-cp39-manylinux2010_x86_64.whl
Size	1.3 MB
Tags	CPython 3.9 Linux glibc 2.12+ x86-64
SHA-256 checksum How to use checksums	`eb058afa0b5fa5036f2ded8f2e0736c0b4811d857f9cef5a77c5cd66e0332196`
BLAKE2b-256 checksum How to use checksums	`b9cac3ad14b162ac11f033ddb134e74e4d16459d3ab2202b8f413f6bab25b2db`
Upload date	Jun 30, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.1 CPython/3.9.13`

Release files / classicML-0.9-cp39-cp39-macosx_11_0_arm64.whl

Download URL	classicML-0.9-cp39-cp39-macosx_11_0_arm64.whl
Size	1.1 MB
Tags	CPython 3.9 macOS 11.0+ ARM64
SHA-256 checksum How to use checksums	`ef9f6c801c29e2516095c6e44932d0030b235b9ac4be06177588972b506a6af6`
BLAKE2b-256 checksum How to use checksums	`a282381914f59d40bc300df04cc762a2c02e8d52fba2a462b01414c67404c244`
Upload date	Jun 30, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.1 CPython/3.9.13`

Release files / classicML-0.9-cp39-cp39-macosx_10_15_x86_64.whl

Download URL	classicML-0.9-cp39-cp39-macosx_10_15_x86_64.whl
Size	1.3 MB
Tags	CPython 3.9 macOS 10.15+ x86-64
SHA-256 checksum How to use checksums	`afacd7b3cda864027ae4ddfbd8229af84fe16c1eb3de97c3e7ed0ad132f1247c`
BLAKE2b-256 checksum How to use checksums	`49830a2c19612663ca03438252fa5ad431a4a9086680a13befe2ed4838670721`
Upload date	Jun 30, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.1 CPython/3.9.13`

Release files / classicML-0.9-cp38-cp38-win_amd64.whl

Download URL	classicML-0.9-cp38-cp38-win_amd64.whl
Size	1.1 MB
Tags	CPython 3.8 Windows x86-64
SHA-256 checksum How to use checksums	`90d9c365d75ef6e15cafe224be74c97462002e5c6b217bd68652a77595cd753c`
BLAKE2b-256 checksum How to use checksums	`4c0682d4412c3f76277f5824d7ee29a45f3d7628112febf6cbefa4859349bcff`
Upload date	Jun 30, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.1 CPython/3.8.10`

Release files / classicML-0.9-cp38-cp38-manylinux2010_x86_64.whl

Download URL	classicML-0.9-cp38-cp38-manylinux2010_x86_64.whl
Size	1.3 MB
Tags	CPython 3.8 Linux glibc 2.12+ x86-64
SHA-256 checksum How to use checksums	`7aca64dc230c0800c93edbf0931e5d25ed82bfff7c596766de1c18fbc0f7db76`
BLAKE2b-256 checksum How to use checksums	`91d53a8841e84ba921d78bcf82646b51f8ffa235aeee9f4a4d952cb28fbfb38c`
Upload date	Jun 30, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.1 CPython/3.8.13`

Release files / classicML-0.9-cp38-cp38-macosx_11_0_arm64.whl

Download URL	classicML-0.9-cp38-cp38-macosx_11_0_arm64.whl
Size	1.1 MB
Tags	CPython 3.8 macOS 11.0+ ARM64
SHA-256 checksum How to use checksums	`a65a84704c182dcec29111af3f235e841648cd65a702c88d178913ce12250d08`
BLAKE2b-256 checksum How to use checksums	`c0d838cc16b9390953f463764b094ae12db2d06311565bba2a1633c5de31c1b9`
Upload date	Jun 30, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.0 CPython/3.8.13`

Release files / classicML-0.9-cp38-cp38-macosx_10_15_x86_64.whl

Download URL	classicML-0.9-cp38-cp38-macosx_10_15_x86_64.whl
Size	1.3 MB
Tags	CPython 3.8 macOS 10.15+ x86-64
SHA-256 checksum How to use checksums	`5a819fa483306cf8a116b7a44ad80374c07e16635afeee39523f0e034d69cf06`
BLAKE2b-256 checksum How to use checksums	`a89aadd4ada194812a82cd64598a84aecc50d67a5308e5f9ad61dab3051af7f3`
Upload date	Jun 30, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.1 CPython/3.8.13`

Release files / classicML-0.9-cp37-cp37m-win_amd64.whl

Download URL	classicML-0.9-cp37-cp37m-win_amd64.whl
Size	1.1 MB
Tags	CPython 3.7 CPython 3.7 pymalloc Windows x86-64
SHA-256 checksum How to use checksums	`3fc968e67d310a0705e794517a4954ee6db69d974e86d3b83c972697de422dba`
BLAKE2b-256 checksum How to use checksums	`c0184c94235dce5b71b05dff274f02dc754cbda0621fa2653aeeba60e4cf79ae`
Upload date	Jun 30, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.1 CPython/3.7.9`

Release files / classicML-0.9-cp37-cp37m-manylinux2010_x86_64.whl

Download URL	classicML-0.9-cp37-cp37m-manylinux2010_x86_64.whl
Size	1.2 MB
Tags	CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.12+ x86-64
SHA-256 checksum How to use checksums	`377ec51d678569e6b6a2d43a61392ce7d12592f8213d7b0cc85c28aa9165f29a`
BLAKE2b-256 checksum How to use checksums	`3779ec6125194310f9e7647108b80af84b0ec34376cde534ee011b420d2ab983`
Upload date	Jun 30, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.1 CPython/3.7.13`

Release files / classicML-0.9-cp37-cp37m-macosx_10_15_x86_64.whl

Download URL	classicML-0.9-cp37-cp37m-macosx_10_15_x86_64.whl
Size	1.3 MB
Tags	CPython 3.7 CPython 3.7 pymalloc macOS 10.15+ x86-64
SHA-256 checksum How to use checksums	`476071288f6b66a93bd842e33dfc6f99c095526e596c65080fd89a2e736c0bc3`
BLAKE2b-256 checksum How to use checksums	`c8da0ee9f73d5c96d98bf8b91630d8b5682f6c35be2d4c2230c2b7ec0229c1e3`
Upload date	Jun 30, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.1 CPython/3.7.13`