Coniferous forests for better machine learning

These details have not been verified by PyPI

Project links

Source Code

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Intended Audience
- Science/Research
License
- OSI Approved :: MIT License
Operating System
Programming Language
- Python
Topic
- Scientific/Engineering

Project description

coniferest

Test Workflow Build and publish wheels

Package for active anomaly detection with isolation forests, made by SNAD collaboration.

It includes:

IsolationForest - reimplementation of scikit-learn's isolation forest with much better scoring performance.
AADForest - reimplementation of Active Anomaly detection algorithm with isolation forests from Shubhomoy Das' ad_examples package with better performance, much less code and more flexible dependencies.
PineForest - our own active learning model based on the idea of tree filtering.

Install the package with pip install coniferest.

See the documentation for the Tutorial.

Project details

These details have not been verified by PyPI

Project links

Source Code

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Intended Audience
- Science/Research
License
- OSI Approved :: MIT License
Operating System
Programming Language
- Python
Topic
- Scientific/Engineering

Release history Release notifications | RSS feed

0.0.14

May 16, 2024

0.0.13

Mar 14, 2024

0.0.12

Feb 28, 2024

0.0.11

Jul 8, 2023

This version

0.0.10

Jun 10, 2023

0.0.9

Jun 3, 2023

0.0.8

May 29, 2023

0.0.7

May 26, 2023

0.0.6

May 25, 2023

0.0.4

Jul 7, 2022

0.0.3

Jul 4, 2022

0.0.2

Aug 13, 2021

Download files

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

Source Distribution

coniferest-0.0.10.tar.gz (19.3 MB view hashes)

Uploaded Jun 10, 2023 Source

Built Distributions

coniferest-0.0.10-cp311-cp311-win_amd64.whl (9.1 MB view hashes)

Uploaded Jun 10, 2023 CPython 3.11 Windows x86-64

coniferest-0.0.10-cp311-cp311-win32.whl (9.0 MB view hashes)

Uploaded Jun 10, 2023 CPython 3.11 Windows x86

coniferest-0.0.10-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (9.6 MB view hashes)

Uploaded Jun 10, 2023 CPython 3.11 manylinux: glibc 2.17+ x86-64

coniferest-0.0.10-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (9.6 MB view hashes)

Uploaded Jun 10, 2023 CPython 3.11 manylinux: glibc 2.17+ ARM64

coniferest-0.0.10-cp311-cp311-macosx_11_0_arm64.whl (9.1 MB view hashes)

Uploaded Jun 10, 2023 CPython 3.11 macOS 11.0+ ARM64

coniferest-0.0.10-cp311-cp311-macosx_10_9_x86_64.whl (9.1 MB view hashes)

Uploaded Jun 10, 2023 CPython 3.11 macOS 10.9+ x86-64

coniferest-0.0.10-cp310-cp310-win_amd64.whl (9.1 MB view hashes)

Uploaded Jun 10, 2023 CPython 3.10 Windows x86-64

coniferest-0.0.10-cp310-cp310-win32.whl (9.0 MB view hashes)

Uploaded Jun 10, 2023 CPython 3.10 Windows x86

coniferest-0.0.10-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (9.6 MB view hashes)

Uploaded Jun 10, 2023 CPython 3.10 manylinux: glibc 2.17+ x86-64

coniferest-0.0.10-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (9.6 MB view hashes)

Uploaded Jun 10, 2023 CPython 3.10 manylinux: glibc 2.17+ ARM64

coniferest-0.0.10-cp310-cp310-macosx_11_0_arm64.whl (9.1 MB view hashes)

Uploaded Jun 10, 2023 CPython 3.10 macOS 11.0+ ARM64

coniferest-0.0.10-cp310-cp310-macosx_10_9_x86_64.whl (9.1 MB view hashes)

Uploaded Jun 10, 2023 CPython 3.10 macOS 10.9+ x86-64

coniferest-0.0.10-cp39-cp39-win_amd64.whl (9.1 MB view hashes)

Uploaded Jun 10, 2023 CPython 3.9 Windows x86-64

coniferest-0.0.10-cp39-cp39-win32.whl (9.0 MB view hashes)

Uploaded Jun 10, 2023 CPython 3.9 Windows x86

coniferest-0.0.10-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (9.6 MB view hashes)

Uploaded Jun 10, 2023 CPython 3.9 manylinux: glibc 2.17+ x86-64

coniferest-0.0.10-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (9.6 MB view hashes)

Uploaded Jun 10, 2023 CPython 3.9 manylinux: glibc 2.17+ ARM64

coniferest-0.0.10-cp39-cp39-macosx_11_0_arm64.whl (9.1 MB view hashes)

Uploaded Jun 10, 2023 CPython 3.9 macOS 11.0+ ARM64

coniferest-0.0.10-cp39-cp39-macosx_10_9_x86_64.whl (9.1 MB view hashes)

Uploaded Jun 10, 2023 CPython 3.9 macOS 10.9+ x86-64

coniferest-0.0.10-cp38-cp38-win_amd64.whl (9.1 MB view hashes)

Uploaded Jun 10, 2023 CPython 3.8 Windows x86-64

coniferest-0.0.10-cp38-cp38-win32.whl (9.1 MB view hashes)

Uploaded Jun 10, 2023 CPython 3.8 Windows x86

coniferest-0.0.10-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (9.6 MB view hashes)

Uploaded Jun 10, 2023 CPython 3.8 manylinux: glibc 2.17+ x86-64

coniferest-0.0.10-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (9.6 MB view hashes)

Uploaded Jun 10, 2023 CPython 3.8 manylinux: glibc 2.17+ ARM64

coniferest-0.0.10-cp38-cp38-macosx_11_0_arm64.whl (9.1 MB view hashes)

Uploaded Jun 10, 2023 CPython 3.8 macOS 11.0+ ARM64

coniferest-0.0.10-cp38-cp38-macosx_10_9_x86_64.whl (9.1 MB view hashes)

Uploaded Jun 10, 2023 CPython 3.8 macOS 10.9+ x86-64

coniferest-0.0.10-cp37-cp37m-win_amd64.whl (9.1 MB view hashes)

Uploaded Jun 10, 2023 CPython 3.7m Windows x86-64

coniferest-0.0.10-cp37-cp37m-win32.whl (9.1 MB view hashes)

Uploaded Jun 10, 2023 CPython 3.7m Windows x86

coniferest-0.0.10-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (9.6 MB view hashes)

Uploaded Jun 10, 2023 CPython 3.7m manylinux: glibc 2.17+ x86-64

coniferest-0.0.10-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (9.6 MB view hashes)

Uploaded Jun 10, 2023 CPython 3.7m manylinux: glibc 2.17+ ARM64

coniferest-0.0.10-cp37-cp37m-macosx_10_9_x86_64.whl (9.1 MB view hashes)

Uploaded Jun 10, 2023 CPython 3.7m macOS 10.9+ x86-64

Hashes for coniferest-0.0.10.tar.gz

Hashes for coniferest-0.0.10.tar.gz
Algorithm	Hash digest
SHA256	`e68bf38b760d8e3aa86ce2bd91478a180f15873cfec2a1c0a84c4129783453ad`
MD5	`50d0e792acd1a03caf8aaf267ee9b583`
BLAKE2b-256	`7d199953ecfda737ea54b3c2d12cd2bcc8b58db30937d3e8c80162c0fa4d4adf`

Hashes for coniferest-0.0.10-cp311-cp311-win_amd64.whl

Hashes for coniferest-0.0.10-cp311-cp311-win_amd64.whl
Algorithm	Hash digest
SHA256	`c861c62bce8ac59ab7a6c019732f93db8e2fb30b182381868c307081aaa93856`
MD5	`52cdb3e92164f41efdb7700e3905be20`
BLAKE2b-256	`2ce323acc1eb72ca12d03ed9a9df3e59b94c627b9227fa1c2a9ce4e9dc1d99f9`

Hashes for coniferest-0.0.10-cp311-cp311-win32.whl

Hashes for coniferest-0.0.10-cp311-cp311-win32.whl
Algorithm	Hash digest
SHA256	`d5086d4e926f1a8da4951ca2de1d6e837771d9a12cb3be2a674d45cb65555fcb`
MD5	`c679f4a19958bf0dcfcb3061466f9f0a`
BLAKE2b-256	`7dc988f39dc58260b90b667993fead2fc47a00827c3ee16cabbc76c3ca71c176`

Hashes for coniferest-0.0.10-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for coniferest-0.0.10-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`39c0982326f73c9bf76de23c4be31ab8029af1a90c96365f89e7004c352032d0`
MD5	`92fc1cd75976ff01ecfe632e7e668e4f`
BLAKE2b-256	`8d1b4ad39295c46893c42fc701b379e28426c99c4d2ea99f045018b87e87917d`

Hashes for coniferest-0.0.10-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Hashes for coniferest-0.0.10-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm	Hash digest
SHA256	`19cfa88db08d173a507b6e1b688528fa6223cfac08cb4489e6a3c886da7a8b43`
MD5	`ecb7df3eb76f56e4a46d73ad0e34f799`
BLAKE2b-256	`99226a5b37aac4d3effee1b2a2ffd5a4129125af83c5da8bbbf33c48b201b429`

Hashes for coniferest-0.0.10-cp311-cp311-macosx_11_0_arm64.whl

Hashes for coniferest-0.0.10-cp311-cp311-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`23f9fffef3b5a05a51de758cd4c26c64953d9f2d396dd2bc07bc2d16d48c2619`
MD5	`4b4bb30f9d224d137b0e3e598a865c08`
BLAKE2b-256	`bd77d0db0ef12dfaa12029a54618a77f1cbe222efc974a99c150cd3dd0dca2bc`

Hashes for coniferest-0.0.10-cp311-cp311-macosx_10_9_x86_64.whl

Hashes for coniferest-0.0.10-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`928349aae66dd0631b82d2c62091a2a808aa194dac1ca93bf72b344ed3163627`
MD5	`4b81f98434c97ccc9bc5f8830c22f3c7`
BLAKE2b-256	`8323019cab527799d577ff7303ed36d8575ffde46a979263ce03059120b80ffc`

Hashes for coniferest-0.0.10-cp310-cp310-win_amd64.whl

Hashes for coniferest-0.0.10-cp310-cp310-win_amd64.whl
Algorithm	Hash digest
SHA256	`c40e71a4d7e9983d274dfbd7b77b3739237da380808adbf8684aa8b930f8a962`
MD5	`52af8fe62f76d88136f678d0b2987dcf`
BLAKE2b-256	`a785d9ecb802ee91c2d35e1d9c97635edea8515100b5a6e7314bc4da5b6934e5`

Hashes for coniferest-0.0.10-cp310-cp310-win32.whl

Hashes for coniferest-0.0.10-cp310-cp310-win32.whl
Algorithm	Hash digest
SHA256	`c24edd59a81ca6f160e1d5d567d0e7f1a9f03c987c25ec06c59b12ff7c454976`
MD5	`ac090d997140463866ef23fd89dc3e5c`
BLAKE2b-256	`780e14a980a2b1438ed9d67a3d377b009583c2105115e18a240665ace59165f0`

Hashes for coniferest-0.0.10-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for coniferest-0.0.10-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`c22714def7e675056b724663cc34fbac1239c13c4f97cd7fe9fe7ad97724378a`
MD5	`0639442918cfd3cf65a89f787b34f90f`
BLAKE2b-256	`31622a826fd0aeace4497f0a591a612b5d57e36775ad8e829a7b5c97e219736f`

Hashes for coniferest-0.0.10-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Hashes for coniferest-0.0.10-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm	Hash digest
SHA256	`7111d42f2dbf1103b9575f25f041f03a6e85253390dc41877694c308b289bd3b`
MD5	`2e0957a6a90c837c2e19f64babef7441`
BLAKE2b-256	`576392b33c689989ff372dd4f8a53bcd374a8212f812e281aa3e3361c4708f9c`

Hashes for coniferest-0.0.10-cp310-cp310-macosx_11_0_arm64.whl

Hashes for coniferest-0.0.10-cp310-cp310-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`76a20ec77a7505de4ec20feeb2345fd84953bd7c192e2d3206ff98f76d73ac39`
MD5	`d7e37ff39ee4b9e07864721534efaeb9`
BLAKE2b-256	`3b7d1ea10c9eba1389b675b88d59f0839ffc1d0ec8ab129e0ddcd8f0306d42ee`

Hashes for coniferest-0.0.10-cp310-cp310-macosx_10_9_x86_64.whl

Hashes for coniferest-0.0.10-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`fc3c3ff98a633322190fca57a103a5771dc9e46d401e77f94923bcd5d90f766e`
MD5	`878d237b95783d197a93f0ed623a5523`
BLAKE2b-256	`62c0d14b6ceb62c397890a9d5ba3ceb4b79c2646d0297e8e8deb07d9a0e0ada3`

Hashes for coniferest-0.0.10-cp39-cp39-win_amd64.whl

Hashes for coniferest-0.0.10-cp39-cp39-win_amd64.whl
Algorithm	Hash digest
SHA256	`59b95e7b77c024edd14100b2a9eb902916387ea0119b5be95d233a452453a1ca`
MD5	`f0449e1e925129941ab0ffb3a7b66522`
BLAKE2b-256	`5beb19605ad242304553e37463fe5520935f56116ecb5f86f31b03008aa008eb`

Hashes for coniferest-0.0.10-cp39-cp39-win32.whl

Hashes for coniferest-0.0.10-cp39-cp39-win32.whl
Algorithm	Hash digest
SHA256	`c0479d81821e17db7425a8bdadef6c464325e29589b839d7dea5f05db0e03b5d`
MD5	`181a7765b5ba8fa013b99f0af071c927`
BLAKE2b-256	`6e2cf616b03f440c369fec7411362b67d5c536ce32a5a88a2d3ed4e6cc82d774`

Hashes for coniferest-0.0.10-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for coniferest-0.0.10-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`e7e989a34f359a05ff63404ae9329279a3a1fe436863f37f2de86f2e05c67feb`
MD5	`78e8fe98af8ff8c38d2a138e55c83e82`
BLAKE2b-256	`31ef139f649df9a813a9967d6ead01c3ba8a41da136e406c83123e58cdf47579`

Hashes for coniferest-0.0.10-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Hashes for coniferest-0.0.10-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm	Hash digest
SHA256	`79c06851ec82609f348b5e04228ac087272729c3eaef67af0b1fbd5536a27e68`
MD5	`13fb35fdaea63f42ce18e0bff0ef8368`
BLAKE2b-256	`92bf384202e1483ea7bf4c14d38bd129dab0bd4fa5a97f929ab7c5f1666ed89d`

Hashes for coniferest-0.0.10-cp39-cp39-macosx_11_0_arm64.whl

Hashes for coniferest-0.0.10-cp39-cp39-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`47a6129f345a6a6913d333bd60cec11b4ee1717c2d94ace6b2aaf920045f300c`
MD5	`62e662c6a4150228b99e7ad769543a45`
BLAKE2b-256	`933ebd0f4ea735d66de44b2c8930dc6d552bb06a7972b7cdf2464809a752147a`

Hashes for coniferest-0.0.10-cp39-cp39-macosx_10_9_x86_64.whl

Hashes for coniferest-0.0.10-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`7dfe8b70f49442dbed4f7b9bb7ca6567e10f98ce91aa1650f322c21e4f428ee2`
MD5	`0b467ce7c911563a72199d0e990037aa`
BLAKE2b-256	`5567a867aaa4fd21ca7c7528807972a4467a8a55b7580f33e882f190a6137182`

Hashes for coniferest-0.0.10-cp38-cp38-win_amd64.whl

Hashes for coniferest-0.0.10-cp38-cp38-win_amd64.whl
Algorithm	Hash digest
SHA256	`e781c2d46a957be4d9fd411267d7740902f4141099b7e0e0cef6fa43fdf8d5ad`
MD5	`2ee34009339bf269b1abdd9cf323109e`
BLAKE2b-256	`a11a154bc202411d9eeebd1618f0c4ac7d8d02e736388e5cd149344e78197ebc`

Hashes for coniferest-0.0.10-cp38-cp38-win32.whl

Hashes for coniferest-0.0.10-cp38-cp38-win32.whl
Algorithm	Hash digest
SHA256	`e83038b37decdef1084d4158c4aba3a4b8415be0c8a897cdb71b1ae47298970b`
MD5	`2d9dc282580be6b42fb692108039064d`
BLAKE2b-256	`d77454061d179c33dacf0dfc4e5b42b32ad27cfc2eb22b6500524c4859bfd5f5`

Hashes for coniferest-0.0.10-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for coniferest-0.0.10-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`d584df4d80dd14fa2109c8b830f6bf7e752a0fc6fdff46ff7ddc7b3dd30fdbff`
MD5	`a02758a5e78d48305c90811b1ec617ce`
BLAKE2b-256	`efcc6ff241a77ffc614a97d09d689f9ac61f0cfa38c6b78302c0cecb8f1c86f3`

Hashes for coniferest-0.0.10-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Hashes for coniferest-0.0.10-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm	Hash digest
SHA256	`439f55582a8bee7291f836faf768d9cdd84f7d990a7dc1a7aefd848daa1f4b96`
MD5	`e88fb645fe071307434b4338b95c98c5`
BLAKE2b-256	`8c5d3ca3f462039e4d9c90861a93d4043176eb4dc46982430359e717a085c7cb`

Hashes for coniferest-0.0.10-cp38-cp38-macosx_11_0_arm64.whl

Hashes for coniferest-0.0.10-cp38-cp38-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`af2fd33201aa6913b6dcd49fb164e23466c4524addfc0d5b07e204c07d721842`
MD5	`37dafd2abe6681fee9b4ce455124fce3`
BLAKE2b-256	`7601189fc64f83e2d9d0e884f6170b8ceaf0b9b37fb050374f9af0fce703740b`

Hashes for coniferest-0.0.10-cp38-cp38-macosx_10_9_x86_64.whl

Hashes for coniferest-0.0.10-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`772ba1a86186e1736728ea6869dc6b7178818cb21250571440773d4b4681926f`
MD5	`9f1be978be9b33a37adaf21f38e8f729`
BLAKE2b-256	`4955252a19d78d979730aad43b4403323323813d3b80a95568ab83561d5078e3`

Hashes for coniferest-0.0.10-cp37-cp37m-win_amd64.whl

Hashes for coniferest-0.0.10-cp37-cp37m-win_amd64.whl
Algorithm	Hash digest
SHA256	`6c2033cb8bf04e410f7ac07bd7b5b77000a8c4e264ab5d6822efdf1ece18ad0f`
MD5	`22c8760c0eba1c4c5f88907050e42b7f`
BLAKE2b-256	`c284493c19bfbbb6bed0bb5fb7763892164d30511eefc709054a11287ed2fdf2`

Hashes for coniferest-0.0.10-cp37-cp37m-win32.whl

Hashes for coniferest-0.0.10-cp37-cp37m-win32.whl
Algorithm	Hash digest
SHA256	`190ea59947966bde5e5ed046ec8fa870ed90b3e14620b6a859f9bc549182581e`
MD5	`f1c3bbdfcfc951eb80f9d7618c2c0aa5`
BLAKE2b-256	`158e15ca7d7b821f71a92466f43de74c0f40e64754424e635c692b6298588155`

Hashes for coniferest-0.0.10-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for coniferest-0.0.10-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`eea1294842d6278c7862e7c4fbfdbb29db648d276a797eaf4cbc827e710ee4b1`
MD5	`9a7bc20c1c094d278821fb15c2c8a8ef`
BLAKE2b-256	`61871a058936bbd0651d144dc35edc70ce088c0b7917ea5cb4a3293c52d02545`

Hashes for coniferest-0.0.10-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Hashes for coniferest-0.0.10-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm	Hash digest
SHA256	`ff207606b3488bf57987f513d7b1fcd32c23ff9a45fb7363b360bff85112c2b9`
MD5	`354bcc13cd9011167c5995a4e6fb2323`
BLAKE2b-256	`35ec96f739c7d9ce5a9eaa245243ec4fe8de928f26bd172807374ad1563dbbea`

Hashes for coniferest-0.0.10-cp37-cp37m-macosx_10_9_x86_64.whl

Hashes for coniferest-0.0.10-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`9a987a073d24129a16dc2a4930a44f101d9a0537cdf75205d1e1e8d4c03bd3ac`
MD5	`9b7c4ea3ed5a51ac5fec49bcb13572d2`
BLAKE2b-256	`34daf4192ec913c53db32f96172ac674aebcea91be4102deaac1d7cabfe232d5`