pysbrl

A python interface of Scalable Bayesian Rule List

Project description

PySBRL is a python package that allows you to create rule lists from categorical data

Project details

Release history Release notifications | RSS feed

0.4.4rc0 pre-release

Jan 31, 2020

This version

0.4.2

Nov 13, 2019

0.4.2rc0 pre-release

Sep 25, 2018

0.4.1

Jul 18, 2018

0.4

Jun 22, 2018

0.4rc0 pre-release

Jul 15, 2018

0.3

Mar 17, 2018

0.2

Mar 3, 2018

0.1

Mar 3, 2018

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pysbrl-0.4.2-cp37-cp37m-manylinux1_x86_64.whl (951.0 kB view hashes)

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pysbrl-0.4.2-cp37-cp37m-manylinux1_i686.whl (903.3 kB view hashes)

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pysbrl-0.4.2-cp37-cp37m-macosx_10_13_x86_64.whl (40.5 kB view hashes)

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pysbrl-0.4.2-cp36-cp36m-manylinux1_x86_64.whl (951.0 kB view hashes)

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pysbrl-0.4.2-cp36-cp36m-manylinux1_i686.whl (903.3 kB view hashes)

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pysbrl-0.4.2-cp36-cp36m-macosx_10_13_x86_64.whl (40.5 kB view hashes)

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pysbrl-0.4.2-cp35-cp35m-manylinux1_x86_64.whl (951.0 kB view hashes)

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pysbrl-0.4.2-cp35-cp35m-manylinux1_i686.whl (903.3 kB view hashes)

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pysbrl-0.4.2-cp35-cp35m-macosx_10_13_x86_64.whl (40.5 kB view hashes)

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pysbrl-0.4.2-cp34-cp34m-manylinux1_x86_64.whl (950.8 kB view hashes)

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pysbrl-0.4.2-cp34-cp34m-manylinux1_i686.whl (903.1 kB view hashes)

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pysbrl-0.4.2-cp27-cp27mu-manylinux1_x86_64.whl (950.0 kB view hashes)

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pysbrl-0.4.2-cp27-cp27mu-manylinux1_i686.whl (904.4 kB view hashes)

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pysbrl-0.4.2-cp27-cp27m-manylinux1_x86_64.whl (950.0 kB view hashes)

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pysbrl-0.4.2-cp27-cp27m-manylinux1_i686.whl (904.4 kB view hashes)

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pysbrl-0.4.2-cp27-cp27m-macosx_10_13_x86_64.whl (39.8 kB view hashes)

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Hashes for pysbrl-0.4.2-cp37-cp37m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`e5a02de0d02050955c082434446655a74180e246bedbce0d4a7c386cd11c596a`
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Hashes for pysbrl-0.4.2-cp37-cp37m-manylinux1_i686.whl

Hashes for pysbrl-0.4.2-cp37-cp37m-manylinux1_i686.whl
Algorithm	Hash digest
SHA256	`344e21a87519a8938912f9b30ef6db1ee06f18e06cbdd3a4524ed5721675524f`
MD5	`f6583c4c91cec0674c64879439544c72`
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Hashes for pysbrl-0.4.2-cp37-cp37m-macosx_10_13_x86_64.whl

Hashes for pysbrl-0.4.2-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm	Hash digest
SHA256	`15318f8b46a14c56ba2e9915847b63736717a6ab67336c3c9ee036f4bfc1d2a5`
MD5	`c171d16cd517d82191f658d8fb7cbead`
BLAKE2-256	`6f9dc6907c2f747d50fe4c378e048c409049a6c5593c91f54dbe8cebf249dcbc`

Hashes for pysbrl-0.4.2-cp36-cp36m-manylinux1_x86_64.whl

Hashes for pysbrl-0.4.2-cp36-cp36m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`b0785528b26d50f0266e17b658cc0df558e653540081963a7010ab635e653f3c`
MD5	`bddc3dc87838b5c5f1edcfa53f301ab9`
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Hashes for pysbrl-0.4.2-cp36-cp36m-manylinux1_i686.whl

Hashes for pysbrl-0.4.2-cp36-cp36m-manylinux1_i686.whl
Algorithm	Hash digest
SHA256	`42e3334d68e97cd5aadd362b4c659d48c5358096746b4f7f554871b889d6de0c`
MD5	`6f26cb7f3ec8668430859e5398a45149`
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Hashes for pysbrl-0.4.2-cp36-cp36m-macosx_10_13_x86_64.whl

Hashes for pysbrl-0.4.2-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm	Hash digest
SHA256	`850c2e206d6c658576528852b91b99f09d1d9e86d49625a4436e7f177fb4fa3e`
MD5	`13ccebea1e12699efd53f80235c1c0ec`
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Hashes for pysbrl-0.4.2-cp35-cp35m-manylinux1_x86_64.whl

Hashes for pysbrl-0.4.2-cp35-cp35m-manylinux1_x86_64.whl
Algorithm	Hash digest
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MD5	`748870abe0660447228ac673d914a52f`
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Hashes for pysbrl-0.4.2-cp35-cp35m-manylinux1_i686.whl

Hashes for pysbrl-0.4.2-cp35-cp35m-manylinux1_i686.whl
Algorithm	Hash digest
SHA256	`5d9facbe92fae3839de9df928043d6e5991a532d38b7f7003519ee9a4682846a`
MD5	`fc37fadb4155805aff583a8050051f0a`
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Hashes for pysbrl-0.4.2-cp35-cp35m-macosx_10_13_x86_64.whl

Hashes for pysbrl-0.4.2-cp35-cp35m-macosx_10_13_x86_64.whl
Algorithm	Hash digest
SHA256	`9dee9f2f42a760b9ac5568c913e7430416d73ade9cb83fada88347354b4a3fd6`
MD5	`9c87a6e502497c1d926f97ced8957e04`
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Hashes for pysbrl-0.4.2-cp34-cp34m-manylinux1_x86_64.whl

Hashes for pysbrl-0.4.2-cp34-cp34m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`5586d3609eddfeb6e8bb2c26d5d41d70f2bde18e5195b8596a1d89b0e12f6edf`
MD5	`a6dfe82b7557f419bd54118aa98f2cad`
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Hashes for pysbrl-0.4.2-cp34-cp34m-manylinux1_i686.whl

Hashes for pysbrl-0.4.2-cp34-cp34m-manylinux1_i686.whl
Algorithm	Hash digest
SHA256	`54e8b6db896fbfeb1caa695c6fabfd6138ac5397668152bbcedbf5660ce57ebf`
MD5	`756f5d51b042090da0b20fbb4bfbf627`
BLAKE2-256	`8ae6330f21acc2481f050ea87a6258ce077e7bc78ce28b7a53b6753abf5d0fde`

Hashes for pysbrl-0.4.2-cp27-cp27mu-manylinux1_x86_64.whl

Hashes for pysbrl-0.4.2-cp27-cp27mu-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`e092ae0b678fe273b54e35a977c00ba6ff72d1ec3a4aaf28433454ecb0e9fa95`
MD5	`c6c7db4e46929b28a539347cd4a3e2b9`
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Hashes for pysbrl-0.4.2-cp27-cp27mu-manylinux1_i686.whl

Hashes for pysbrl-0.4.2-cp27-cp27mu-manylinux1_i686.whl
Algorithm	Hash digest
SHA256	`68c0eb9d3c7fff8a0ab17400389abc8e190e5b6cd500f1d57ddaf4385f5d3c9f`
MD5	`1dc592e5718fd205bfcfe53c4ba2fc59`
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Hashes for pysbrl-0.4.2-cp27-cp27m-manylinux1_x86_64.whl

Hashes for pysbrl-0.4.2-cp27-cp27m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`c4e8bed96e54c39127f5038d836c3c9a9a5fa7626731cb70251aca1f49f58f12`
MD5	`abeef62ff7f48eed34fb6f3b29cccf0e`
BLAKE2-256	`462b714fa7e92b00e33841f9107c9a18017d53db60ca78a8593f2fa9336eb536`

Hashes for pysbrl-0.4.2-cp27-cp27m-manylinux1_i686.whl

Hashes for pysbrl-0.4.2-cp27-cp27m-manylinux1_i686.whl
Algorithm	Hash digest
SHA256	`281b140eff7f37ae3c09fe900a38a7d229aa3506e8f4a8218716e9694e37e04c`
MD5	`a804bd5c363545212e39a72cd55844b5`
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Hashes for pysbrl-0.4.2-cp27-cp27m-macosx_10_13_x86_64.whl

Hashes for pysbrl-0.4.2-cp27-cp27m-macosx_10_13_x86_64.whl
Algorithm	Hash digest
SHA256	`511b94c78a2c5ef8fc51bdc720246c93b2936923c16c66813326ce383be9a571`
MD5	`3ff60a467c112dc86af6a0701a1a55a8`
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