niaarm - perform Association Rule Mining, output mined rules as csv, get mined rules’ statistics

NAME  SYNOPSIS  OPTIONS 

NAME

niaarm – perform Association Rule Mining, output mined rules as csv, get mined rules’ statistics

SYNOPSIS

niaarm [−h] [−v] −i INPUT_FILE [−o OUTPUT_FILE] −a ALGORITHM [−s SEED] [−−max−evals MAX_EVALS] [−−max−iters MAX_ITERS] −−metrics METRICS [METRICS ...] [−−weights WEIGHTS [WEIGHTS ...]] [−−log] [−−stats]

OPTIONS

−h, −−help

Show a help message and exit

−v, −−verbose

Show program’s version number and exit

−i INPUT_FILE, −−input−file INPUT_FILE

Input file containing a csv dataset

−o OUTPUT_FILE, −−output−file OUTPUT_FILE

Output file for mined rules

−a ALGORITHM, −−algorithm ALGORITHM

Algorithm to use (niapy class name, e.g. DifferentialEvolution)

−s SEED, −−seed SEED

Seed for the algorithm’s random number generator

−−max−evals MAX_EVALS

Maximum number of fitness function evaluations

−−max−iters MAX_ITERS

Maximum number of iterations

−−metrics METRICS [METRICS ...]

Metrics to use in the fitness function.

−−weights WEIGHTS [WEIGHTS ...]

Weights in range [0, 1] corresponding to −−metrics

−−log

Enable logging of fitness improvements

−−stats

Display stats about mined rules


Updated 2024-01-29 - jenkler.se | uex.se