Test symmetries with sklearn decision tree models

Last update: Jul 19, 2022

Overview

Test symmetries with sklearn decision tree models

Setup

Begin from an environment with a recent version of python 3.

source setup.sh

Leave the environment with deactivate. Clean up fully by removing env/.

Run examples

make

Independence is worth duplication (an excuse for this code structure)

Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models

Highly interpretable, sklearn-compatible classifier based on decision rules This is a scikit-learn compatible wrapper for the Bayesian Rule List class

482 Nov 19, 2022

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Website | Documentation | Tutorials | Installation | Release Notes CatBoost is a machine learning method based on gradient boosting over decision tree

6.9k Jan 5, 2023

Data Efficient Decision Making

197 Jan 6, 2023

MBTR is a python package for multivariate boosted tree regressors trained in parameter space.

61 Dec 19, 2022

Machine Learning Algorithms ( Desion Tree, XG Boost, Random Forest )

implementation of machine learning Algorithms such as decision tree and random forest and xgboost on darasets then compare results for each and implement ant colony and genetic algorithms on tsp map, play blackjack game and robot in grid world and evaluate reward for it

1 Jan 19, 2022

A collection of interactive machine-learning experiments: 🏋️models training + 🎨models demo

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

1.4k Jan 6, 2023

[HELP REQUESTED] Generalized Additive Models in Python

pyGAM Generalized Additive Models in Python. Documentation Official pyGAM Documentation: Read the Docs Building interpretable models with Generalized

747 Jan 5, 2023

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

Time series analysis today is an important cornerstone of quantitative science in many disciplines, including natural and life sciences as well as eco

129 Dec 24, 2022

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

Auto_TS: Auto_TimeSeries Automatically build multiple Time Series models using a Single Line of Code. Now updated with Dask. Auto_timeseries is a comp

519 Jan 3, 2023

Releases(zenodo-1)

zenodo-1(Jul 19, 2022)

First version to go on Zenodo 🤖 second major version ♊
Source code(tar.gz)
Source code(zip)

Owner

Rupert Tombs

happiest when bit twiddling

GitHub Repository

NCVX (NonConVeX): A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning.

28 Aug 03, 2022

Automated machine learning: Review of the state-of-the-art and opportunities for healthcare

42 Dec 23, 2022

slim-python is a package to learn customized scoring systems for decision-making problems.

slim-python is a package to learn customized scoring systems for decision-making problems. These are simple decision aids that let users make yes-no p

37 Nov 02, 2022

A library of extension and helper modules for Python's data analysis and machine learning libraries.

Mlxtend (machine learning extensions) is a Python library of useful tools for the day-to-day data science tasks. Sebastian Raschka 2014-2021 Links Doc

4.2k Dec 29, 2022

scikit-fem is a lightweight Python 3.7+ library for performing finite element assembly.

scikit-fem is a lightweight Python 3.7+ library for performing finite element assembly. Its main purpose is the transformation of bilinear forms into sparse matrices and linear forms into vectors.

297 Dec 13, 2022

[HELP REQUESTED] Generalized Additive Models in Python

pyGAM Generalized Additive Models in Python. Documentation Official pyGAM Documentation: Read the Docs Building interpretable models with Generalized

747 Jan 05, 2023

🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams

416 Jan 06, 2023

Scikit-learn compatible wrapper of the Random Bits Forest program written by (Wang et al., 2016)

sklearn-compatible Random Bits Forest Scikit-learn compatible wrapper of the Random Bits Forest program written by Wang et al., 2016, available as a b

8 Jul 24, 2021

A machine learning toolkit dedicated to time-series data

tslearn The machine learning toolkit for time series analysis in Python Section Description Installation Installing the dependencies and tslearn Getti

2.3k Jan 05, 2023

Tutorials, examples, collections, and everything else that falls into the categories: pattern classification, machine learning, and data mining

**Tutorials, examples, collections, and everything else that falls into the categories: pattern classification, machine learning, and data mining.** S

4k Dec 30, 2022

Test symmetries with sklearn decision tree models

Related tags

Overview

Test symmetries with sklearn decision tree models

Setup

Run examples

Independence is worth duplication (an excuse for this code structure)

You might also like...

Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Data Efficient Decision Making

MBTR is a python package for multivariate boosted tree regressors trained in parameter space.

Machine Learning Algorithms ( Desion Tree, XG Boost, Random Forest )

A collection of interactive machine-learning experiments: 🏋️models training + 🎨models demo

[HELP REQUESTED] Generalized Additive Models in Python

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

Releases(zenodo-1)

zenodo-1(Jul 19, 2022)

Owner

Rupert Tombs

NCVX (NonConVeX): A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning.

Automated machine learning: Review of the state-of-the-art and opportunities for healthcare

slim-python is a package to learn customized scoring systems for decision-making problems.

A library of extension and helper modules for Python's data analysis and machine learning libraries.

scikit-fem is a lightweight Python 3.7+ library for performing finite element assembly.

[HELP REQUESTED] Generalized Additive Models in Python

🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams

Scikit-learn compatible wrapper of the Random Bits Forest program written by (Wang et al., 2016)

A machine learning toolkit dedicated to time-series data

Tutorials, examples, collections, and everything else that falls into the categories: pattern classification, machine learning, and data mining

Drug prediction

Projeto: Machine Learning: Linguagens de Programacao 2004-2001

A collection of video resources for machine learning

A library to generate synthetic time series data by easy-to-use factors and generator

stability-selection - A scikit-learn compatible implementation of stability selection

Avocado hass time series vs predict price

Pandas-method-chaining is a plugin for flake8 that provides method chaining linting for pandas code

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

An easier way to build neural search on the cloud

A repository to index and organize the latest machine learning courses found on YouTube.