aplr · PyPI

Automatic Piecewise Linear Regression

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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

These details have not been verified by PyPI

Project links

Homepage

GitHub Statistics

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Release history Release notifications | RSS feed

This version

9.8.0

Apr 25, 2024

9.7.0

Apr 22, 2024

9.6.0

Apr 21, 2024

9.5.0

Apr 13, 2024

9.4.3

Apr 11, 2024

9.4.2

Mar 14, 2024

9.4.1

Mar 8, 2024

9.4.0

Mar 7, 2024

9.3.1 yanked

Mar 7, 2024

Reason this release was yanked:

Bug

9.3.0

Mar 1, 2024

9.2.4

Feb 29, 2024

9.2.3

Feb 25, 2024

9.2.2

Feb 22, 2024

9.2.1

Feb 19, 2024

9.2.0

Feb 17, 2024

9.1.0

Jan 21, 2024

9.0.0

Jan 21, 2024

8.1.0 yanked

Jan 10, 2024

Reason this release was yanked:

The functionality added in 8.1.0 does not seem to add predictive value (based on empirical tests). However, it works from a technical point of view though.

8.0.0

Jan 3, 2024

7.8.1

Dec 14, 2023

7.8.0

Nov 27, 2023

7.7.0

Nov 26, 2023

7.6.2

Nov 25, 2023

7.6.1

Nov 19, 2023

7.6.0

Nov 15, 2023

7.5.1

Oct 19, 2023

7.5.0

Oct 15, 2023

7.4.1

Oct 13, 2023

7.4.0

Oct 12, 2023

7.3.0

Oct 9, 2023

7.2.0

Sep 29, 2023

7.1.0

Sep 26, 2023

7.0.1

Sep 25, 2023

7.0.0

Sep 24, 2023

6.5.2

Jul 22, 2023

6.5.1

Jul 21, 2023

6.5.0

Jul 14, 2023

6.4.0

Jul 4, 2023

6.3.0

Jul 3, 2023

6.2.0

Jul 1, 2023

6.1.0

Jun 30, 2023

6.0.0

Jun 29, 2023

5.0.0

Jun 28, 2023

4.1.0

Jun 27, 2023

4.0.0

May 24, 2023

3.1.0

May 6, 2023

3.0.0

May 5, 2023

2.7.0

May 4, 2023

2.6.0

May 2, 2023

2.5.0

Apr 23, 2023

2.4.0

Apr 23, 2023

2.3.0

Apr 19, 2023

2.2.0

Apr 4, 2023

2.1.0

Mar 28, 2023

2.0.1

Mar 24, 2023

2.0.0

Mar 22, 2023

1.12.1

Mar 15, 2023

1.12.0

Mar 15, 2023

1.11.0

Feb 22, 2023

1.10.2

Feb 18, 2023

1.10.1

Feb 16, 2023

1.10.0

Feb 14, 2023

1.9.0

Jan 31, 2023

1.8.5

Jan 10, 2023

1.8.4

Jan 6, 2023

1.8.3

Jan 6, 2023

1.8.2

Jan 5, 2023

1.8.1

Jan 5, 2023

1.8.0

Jan 3, 2023

1.7.1

Dec 24, 2022

1.7.0

Dec 22, 2022

1.6.2

Dec 22, 2022

1.6.1

Dec 7, 2022

1.6.0

Dec 6, 2022

1.5.0

Dec 2, 2022

1.4.1 yanked

Nov 30, 2022

1.4.0 yanked

Nov 30, 2022

1.3.2

Nov 21, 2022

1.3.1

Nov 18, 2022

1.3.0

Oct 21, 2022

1.2.2

Oct 20, 2022

1.2.1

Oct 19, 2022

1.2.0

Oct 14, 2022

1.1.2

Oct 13, 2022

1.1.1

Oct 12, 2022

1.1.0

Oct 11, 2022

1.0.9

Jun 25, 2022

1.0.8

Jun 17, 2022

1.0.7

Jun 16, 2022

1.0.6

Jun 15, 2022

1.0.5

Jun 15, 2022

1.0.4

Jun 15, 2022

1.0.3

May 23, 2022

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Hashes for aplr-9.8.0.tar.gz

Hashes for aplr-9.8.0.tar.gz
Algorithm	Hash digest
SHA256	`5e9dfca984d68106c73bea54a738ff0c01c725af9535b0e36320abdc9d5f02b4`
MD5	`ed7e3f900c2dc2cb73615c6f86c47269`
BLAKE2b-256	`bd12400517a75bc0d71e5b66efaecdac811966af925f820da4472b9145ef4127`

Hashes for aplr-9.8.0-pp310-pypy310_pp73-win_amd64.whl

Hashes for aplr-9.8.0-pp310-pypy310_pp73-win_amd64.whl
Algorithm	Hash digest
SHA256	`0082fdd4f5b5322e1da412f9a261ea869ee2db4917085bb3f9f394b6d6c6874c`
MD5	`9021e4f2655f078711eaf0518d2c9afb`
BLAKE2b-256	`f657c1c15c301e66353f136ed2a0c69b789700ba418086ce257c8e5357b619f9`

Hashes for aplr-9.8.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for aplr-9.8.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`8bb5b994b18c798e5eeac36ded1535bc06d78f6f74501772b440b7344234f5ca`
MD5	`8b96d5d05f33a226ba193fefbc02808e`
BLAKE2b-256	`cfc33016eaf08748948be782ac738d0349761d5402853e2abee516784f7d4f60`

Hashes for aplr-9.8.0-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl

Hashes for aplr-9.8.0-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm	Hash digest
SHA256	`e04792037ff2315d80c0a80cf23b95a1f6b6c8c98f047757d123c2c26c39e925`
MD5	`d035c1ffdbd8b3648ef9134dd4c93b33`
BLAKE2b-256	`af5455f9409f2fde5530c28042d5648efaea7da001e49432f44b2d6c235a375b`

Hashes for aplr-9.8.0-pp39-pypy39_pp73-win_amd64.whl

Hashes for aplr-9.8.0-pp39-pypy39_pp73-win_amd64.whl
Algorithm	Hash digest
SHA256	`29e6cf370f1f401ebf556b029d62d587300ac96f626adf56614cdcd8d47a5b32`
MD5	`37efb1b0577f82b9690abfa7fe52beec`
BLAKE2b-256	`103df42f3e929d4f7fb407a6ea5dab54f2a4ef70013cfe9ffce347cfb8d7ab9b`

Hashes for aplr-9.8.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for aplr-9.8.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`04eef1bc1cb329d50dedf5ef45db604f6318e5a43bcecb6b367f881d6988ecc0`
MD5	`5f9f0a4da043f93d730977d2e6af3e46`
BLAKE2b-256	`b30bb4e6a323aad8196bf843d955fefeb55c3477968f5b906b55389378aa6a74`

Hashes for aplr-9.8.0-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl

Hashes for aplr-9.8.0-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm	Hash digest
SHA256	`9376a9f9f54cc2f015bb7f4c425d1a223659061a209e2c9b6bb64eb29a8549c2`
MD5	`648929798c01ba13b996d669297f1ea8`
BLAKE2b-256	`3c101b2c9dc9aa8e2fbcbdf7fb4b0c36afe0b72e1b1a9709eb8f3f35d513f415`

Hashes for aplr-9.8.0-pp38-pypy38_pp73-win_amd64.whl

Hashes for aplr-9.8.0-pp38-pypy38_pp73-win_amd64.whl
Algorithm	Hash digest
SHA256	`0b49cc8353f3788838f9b6841b737d4e4d4aac489fc93fb56ab7fe5bc0f2fd3b`
MD5	`84c4086ba509541e475dc9379699ed3c`
BLAKE2b-256	`7d7cf881bb46ca41a6914eedc860be5e9c59c633ae4ad2c6de5c5575c84933c6`

Hashes for aplr-9.8.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for aplr-9.8.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`365369ec41e262db4ada71330c02e9864b3e0c0a8ffd67c0baaef4b268792c07`
MD5	`9bcde5eeb263f69f77b969f06de975ff`
BLAKE2b-256	`05a4b34d62e85eaf0c784bd33e2b8c0b9a7e2d80d807ec72470b1643eb5bc210`

Hashes for aplr-9.8.0-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl

Hashes for aplr-9.8.0-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm	Hash digest
SHA256	`a4604c3963d7369f5bf4766649419fc6256b85ee52485cfd215ddfbdfbb08eb6`
MD5	`75ea0226c74fdaa183b1a93c5612a518`
BLAKE2b-256	`640caa2cd4c61b9b92fa05a8340edd1ad7f72d0ad42a1f2de84d6fe2fcde3e26`

Hashes for aplr-9.8.0-cp312-cp312-win_amd64.whl

Hashes for aplr-9.8.0-cp312-cp312-win_amd64.whl
Algorithm	Hash digest
SHA256	`03a191c4f8c0ad700d5fc0015fe0cad846f7633b820454aadda1b668adfa1219`
MD5	`c085d5be7c8e814628e8c167f1b29d19`
BLAKE2b-256	`b56ec6da19857398b9ef1c488b3862e1928116b2a1a1bd5d8b6bd61c21529693`

Hashes for aplr-9.8.0-cp312-cp312-win32.whl

Hashes for aplr-9.8.0-cp312-cp312-win32.whl
Algorithm	Hash digest
SHA256	`dec8062e40466f793ad9285ccf99ececa4f6e33237ce3d88686855b460607eac`
MD5	`4e6d9dd50d4e13b9652cce374dbf3364`
BLAKE2b-256	`cc90b254c38863c604c01dfc81896cb578c7d5fc5648e8bf38a0ad1877209c97`

Hashes for aplr-9.8.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for aplr-9.8.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`567474cd38e113cba9af81e30edb3c171266e93cc5ef705f6f807387b8da1710`
MD5	`985ca1a55968e1ea030f92032ca6ba8a`
BLAKE2b-256	`197101f5d602658447e022aceab3ae915bd874e466e4625aac844a69d88c1084`

Hashes for aplr-9.8.0-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl

Hashes for aplr-9.8.0-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm	Hash digest
SHA256	`5b466e7141494fbd75b5ace25f4fb31a0e0bed8be05066ebc01b9223da69f40c`
MD5	`0f5353af63a97e1f2df362cd4289b571`
BLAKE2b-256	`30351b2be5dad305c21a415dc02a60157be39cf1a5f59fe7523dcc3dc27cc264`

Hashes for aplr-9.8.0-cp311-cp311-win_amd64.whl

Hashes for aplr-9.8.0-cp311-cp311-win_amd64.whl
Algorithm	Hash digest
SHA256	`4a2a3794e382c870f148d6bda9819fa6cdda02f9e38d6050de44cdb48c77772b`
MD5	`9a1adadd58bfd880652ad5aa10ceadf8`
BLAKE2b-256	`73c877d77eb5c7932d842289df6e032c67d3db1d04cf317611dcb6643e9846c0`

Hashes for aplr-9.8.0-cp311-cp311-win32.whl

Hashes for aplr-9.8.0-cp311-cp311-win32.whl
Algorithm	Hash digest
SHA256	`3743e2ef59da4b637332fd92b46e96e0f89d0cbd9e092996694c67638153425b`
MD5	`5172aad491c808917d52d494e827883d`
BLAKE2b-256	`cc208b4777b87793af007cd491c3bb963355b621db4fecf34a5bc2a554538b4c`

Hashes for aplr-9.8.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for aplr-9.8.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`80aa5c94be8634f5c670b1d479dd95ffc78c4a95fe1c2eed06d2ac4609ee1f38`
MD5	`defb27976e40a1fddba10baa59243fb4`
BLAKE2b-256	`ef5dd34b52ca698ebf037a218a05b34719ffc00bcece348a1ac912f633770e0b`

Hashes for aplr-9.8.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl

Hashes for aplr-9.8.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm	Hash digest
SHA256	`ee83f0b17262f3b77370e847b7c6403b0eb259ed68f075c7da9cd48e50ddda88`
MD5	`8666b42f51a68c59ad5bfcf1df973f98`
BLAKE2b-256	`4eef2ebd5c852f08ac683e01bd0db34e74df1e09224e4c16959e0e15406cb151`

Hashes for aplr-9.8.0-cp310-cp310-win_amd64.whl

Hashes for aplr-9.8.0-cp310-cp310-win_amd64.whl
Algorithm	Hash digest
SHA256	`87d39394c54df12757f098b4432f561ea5073c084db393da97923e18d3d11e0d`
MD5	`ce0e970cc097eed9b79c8c95fff25162`
BLAKE2b-256	`7a3c106d11f1a6a4394bf6e344e4c7e2843b1b336739a945cfe379ecf43d2b1d`

Hashes for aplr-9.8.0-cp310-cp310-win32.whl

Hashes for aplr-9.8.0-cp310-cp310-win32.whl
Algorithm	Hash digest
SHA256	`ed5fb000e6ac6df0802ba6ad6e106a2fc75e3bff343cddc5eea1add46d877886`
MD5	`dfe03cd86de60c9768d6437e003ec1b1`
BLAKE2b-256	`5c98e307c66fdd0c32abec0d22e2ed4785628f65fa1274735649a8fd498bcfc0`

Hashes for aplr-9.8.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for aplr-9.8.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`edce0385a0a2bf070a96f619badec42fdf821d6af6368702b2e55b4466a3a0a1`
MD5	`bcbdd302f13c8320c149bccb49f8baa9`
BLAKE2b-256	`9db36a2c894b8427c0207dd22b68e6a73bb567a73be08076c98f6e8f0fa5004c`

Hashes for aplr-9.8.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl

Hashes for aplr-9.8.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm	Hash digest
SHA256	`f05911acbbed1202b104533cef4a528e095aba3021c4d93d26c06032d7c54b07`
MD5	`d59aac4865f065d0fa3cef8d94ae9730`
BLAKE2b-256	`075e1e806118dd79d25c0e1064fc543edd72dca74728f20288aadb359a1ee825`

Hashes for aplr-9.8.0-cp39-cp39-win_amd64.whl

Hashes for aplr-9.8.0-cp39-cp39-win_amd64.whl
Algorithm	Hash digest
SHA256	`8c4d01ea03eb7406e69593e1953296baee54328e77afe22d0e22d995b06d47bc`
MD5	`5ad1641fa2781a1bcea00ba71fdb561d`
BLAKE2b-256	`5c7eb578b527b4600dbc7d427667c6892f9356988b1edeff7cf025586ded0e34`

Hashes for aplr-9.8.0-cp39-cp39-win32.whl

Hashes for aplr-9.8.0-cp39-cp39-win32.whl
Algorithm	Hash digest
SHA256	`61b01edbaa8acd9471c9a419c208e4773d33a5022f6284c48f73221397c873e4`
MD5	`350b9f61d8529c95baff87e71255e32d`
BLAKE2b-256	`65a6b4af2cce355a2554e4ac729029614cb2377418cd076d333f84af2609986c`

Hashes for aplr-9.8.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for aplr-9.8.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`56009cd59a10b5fd785383d5ca733680712efa0b82645904f1c3fdf7608acf8e`
MD5	`d23ca27a1d0e8ab9ae7df554ad13d5b9`
BLAKE2b-256	`41b1bbf71e4fe4a3f7248c89bda1fcd5e0d95dcc346d977fe3ada9f3d516c9ed`

Hashes for aplr-9.8.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl

Hashes for aplr-9.8.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm	Hash digest
SHA256	`8190d08b45d17cf51121fa44abcca94c4c42a31814303aa45feb208f21fb3f8b`
MD5	`0b3175645b2a76c8e5cf48d07af826f5`
BLAKE2b-256	`5b14014feac2e6f24d443c9ccd09e598e670a789bcda174f3075069abe1c6fa3`

Hashes for aplr-9.8.0-cp38-cp38-win_amd64.whl

Hashes for aplr-9.8.0-cp38-cp38-win_amd64.whl
Algorithm	Hash digest
SHA256	`c39a2999693954ef34a57a56b7499f4abf4a9d391763ade9ecfd466361f4749b`
MD5	`77176feb91f56bd9e340660015e8e1c0`
BLAKE2b-256	`335867ab0b79e4dbec6990f8cd82f1ccf3085bde102621b10092d1d3f5029142`

Hashes for aplr-9.8.0-cp38-cp38-win32.whl

Hashes for aplr-9.8.0-cp38-cp38-win32.whl
Algorithm	Hash digest
SHA256	`04d100a0e956a60640e9ff9d6e25b3b43a3ba2296dede07c3f48701eb834cf9b`
MD5	`047a02bcbec96ed696f146b86b961c85`
BLAKE2b-256	`dd12d393e803068a116dc0393c07a9bc94af9674601b1ccd29144394e5b438fa`

Hashes for aplr-9.8.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for aplr-9.8.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`37e2f7879d99dac9112c589aba81f705a0da41bab4403e51be9363de926c0b78`
MD5	`cf48142b037bb610de1b195ac9438f17`
BLAKE2b-256	`0a1ea0368219bb89a78cf5f01938467f422b4281eedca20e735cbada27ce4220`

Hashes for aplr-9.8.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl

Hashes for aplr-9.8.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm	Hash digest
SHA256	`4f37fa946b52d9655268cc7363b58bb49dc93c9d8484d3a11b90c60cda5c02de`
MD5	`53582243bed33c4b159a383490f45904`
BLAKE2b-256	`8a1300d9e918550884ee0f027f29dc862c4d074cc96fe534ad0237b3e989b5b5`