Skip to main content

Automatic Piecewise Linear Regression

Project description

Build predictive and interpretable parametric regression or classification machine learning models in Python based on the Automatic Piecewise Linear Regression methodology developed by Mathias von Ottenbreit.

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

aplr-7.0.0.tar.gz (3.0 MB view hashes)

Uploaded Source

Built Distributions

aplr-7.0.0-pp310-pypy310_pp73-win_amd64.whl (200.3 kB view hashes)

Uploaded PyPy Windows x86-64

aplr-7.0.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (284.5 kB view hashes)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

aplr-7.0.0-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (304.9 kB view hashes)

Uploaded PyPy manylinux: glibc 2.17+ i686

aplr-7.0.0-pp39-pypy39_pp73-win_amd64.whl (200.2 kB view hashes)

Uploaded PyPy Windows x86-64

aplr-7.0.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (284.4 kB view hashes)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

aplr-7.0.0-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (304.9 kB view hashes)

Uploaded PyPy manylinux: glibc 2.17+ i686

aplr-7.0.0-pp38-pypy38_pp73-win_amd64.whl (200.2 kB view hashes)

Uploaded PyPy Windows x86-64

aplr-7.0.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (284.4 kB view hashes)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

aplr-7.0.0-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (304.1 kB view hashes)

Uploaded PyPy manylinux: glibc 2.17+ i686

aplr-7.0.0-cp311-cp311-win_amd64.whl (201.4 kB view hashes)

Uploaded CPython 3.11 Windows x86-64

aplr-7.0.0-cp311-cp311-win32.whl (173.6 kB view hashes)

Uploaded CPython 3.11 Windows x86

aplr-7.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.3 MB view hashes)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

aplr-7.0.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl (5.3 MB view hashes)

Uploaded CPython 3.11 manylinux: glibc 2.17+ i686

aplr-7.0.0-cp310-cp310-win_amd64.whl (201.4 kB view hashes)

Uploaded CPython 3.10 Windows x86-64

aplr-7.0.0-cp310-cp310-win32.whl (173.6 kB view hashes)

Uploaded CPython 3.10 Windows x86

aplr-7.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.3 MB view hashes)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

aplr-7.0.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (5.3 MB view hashes)

Uploaded CPython 3.10 manylinux: glibc 2.17+ i686

aplr-7.0.0-cp39-cp39-win_amd64.whl (194.9 kB view hashes)

Uploaded CPython 3.9 Windows x86-64

aplr-7.0.0-cp39-cp39-win32.whl (173.6 kB view hashes)

Uploaded CPython 3.9 Windows x86

aplr-7.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.3 MB view hashes)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

aplr-7.0.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (5.3 MB view hashes)

Uploaded CPython 3.9 manylinux: glibc 2.17+ i686

aplr-7.0.0-cp38-cp38-win_amd64.whl (201.4 kB view hashes)

Uploaded CPython 3.8 Windows x86-64

aplr-7.0.0-cp38-cp38-win32.whl (173.5 kB view hashes)

Uploaded CPython 3.8 Windows x86

aplr-7.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.3 MB view hashes)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

aplr-7.0.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (5.3 MB view hashes)

Uploaded CPython 3.8 manylinux: glibc 2.17+ i686

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