This is the instruction for running this code:
Requirements:
python>=3.7
numpy
matplotlib
To install required packages, run the command below:
pip install -r requirements.txt
To generate rules using the Apriori algorithm, run the command below:
python3 hcrules.py --min_sup min1 min2 min3 \
--min_conf minimum_confidence \
--input_file /path/to/your/input/file \
--output_file /path/to/your/output/file
where:
--min_sup: a integer number that is the minimum support count
--min_conf: a float number that is the minimum confidence of strong rule
--input_file: path to your input transaction
--output_file: path to your output file
Implementation of Apriori Algorithm for Association Analysis
Overview
Pathfinding algorithm based on A*
Pathfinding V1 What is pathfindingV1 ? This program is my very first path finding program, using python and turtle for graphic rendering. How is it wo
Genetic algorithm which evolves aoe2 DE ai scripts
AlphaScripter Use the power of genetic algorithms to evolve AI scripts for Age of Empires II : Definitive Edition. For now this package runs in AOC Us
A priority of preferences for teacher assignment problem
Genetic-Algorithm-for-Assignment-Problem A priority of preferences for teacher assignment problem Keywords k-partition; clustering; education 4.0 Abst
Implementation of core NuPIC algorithms in C++
NuPIC Core This repository contains the C++ source code for the Numenta Platform for Intelligent Computing (NuPIC)
Exact algorithm for computing two-sided statistical tolerance intervals under a normal distribution assumption using Python.
norm-tol-int Exact algorithm for computing two-sided statistical tolerance intervals under a normal distribution assumption using Python. Methods The
ROS Basics and TurtleSim
Homework 1: Turtle Control Package Anna Garverick This package draws given waypoints, then waits for a service call with a start position to send the
Minimal pure Python library for working with little-endian list representation of bit strings.
bitlist Minimal Python library for working with bit vectors natively. Purpose This library allows programmers to work with a native representation of
Primedice like provably fair algorithm
Primedice like provably fair algorithm
Xor encryption and decryption algorithm
Folosire: Pentru encriptare: python encrypt.py parola fișier pentru criptare fișier encriptat(de tip binar) Pentru decriptare: python decrypt.p
An open source algorithm and dataset for finding poop in pictures.
The shitspotter module is where I will be work on the "shitspotter" poop-detection algorithm and dataset. The primary goal of this work is to allow for the creation of a phone app that finds where yo
Parameterising Simulated Annealing for the Travelling Salesman Problem
Parameterising Simulated Annealing for the Travelling Salesman Problem Abstract The Travelling Salesman Problem is a well known NP-Hard problem. Given
Supplementary Data for Evolving Reinforcement Learning Algorithms
evolvingrl Supplementary Data for Evolving Reinforcement Learning Algorithms This dataset contains 1000 loss graphs from two experiments: 500 unique g
A simple python application to visualize sorting algorithms.
Visualize sorting algorithms A simple python application to visualize sorting algorithms. Sort Algorithms Name Function Name O( ) Bubble Sort bubble_s
Slight modification to one of the Facebook Salina examples, to test the A2C algorithm on financial series.
Facebook Salina - Gym_AnyTrading Slight modification of Facebook Salina Reinforcement Learning - A2C GPU example for financial series. The gym FOREX d
A fast, pure python implementation of the MuyGPs Gaussian process realization and training algorithm.
Fast implementation of the MuyGPs Gaussian process hyperparameter estimation algorithm MuyGPs is a GP estimation method that affords fast hyperparamet
Cormen-Lib - An academic tool for data structures and algorithms courses
The Cormen-lib module is an insular data structures and algorithms library based on the Thomas H. Cormen's Introduction to Algorithms Third Edition. This library was made specifically for administeri
A custom prime algorithm, implementation, and performance code & review
Colander A custom prime algorithm, implementation, and performance code & review Pseudocode Algorithm 1. given a number of primes to find, the followi
Our implementation of Gillespie's Stochastic Simulation Algorithm (SSA)
SSA Our implementation of Gillespie's Stochastic Simulation Algorithm (SSA) Requirements python =3.7 numpy pandas matplotlib pyyaml Command line usag
Machine Learning algorithms implementation.
Machine Learning Algorithms Machine Learning algorithms implementation. What can I find here? ML Algorithms KNN K-Means-Clustering SVM (MultiClass) Pe
This python algorithm creates a simple house floor plan based on a user-provided CSV file.
This python algorithm creates a simple house floor plan based on a user-provided CSV file. The algorithm generates possible router placements and evaluates where a signal will be reached in every roo