Concept Learning Algorithms
Project description
Concept Learning
This module contains functions to concept learning algorithms
Installation
Run the following command to install:
pip install conceptlearning
Parameters
data
The training dataset consisting of featues and outcomes of type list
Attributes
# for Candidate Elimination Algorithm
candidate_elimination()
# for Find S Algorithm
initialize_hypothesis()
find_s()
Usage
from conceptlearning.CandidateEliminationAlgorithm import CandidateElimination
ce = CandidateElimination(data)
ce.candidate_elimination()
from concetplearning.FindSAlgorithm import FindS
fs = FindS(data)
fs.initialize_hypothesis()
fs.find_s()
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
conceptlearning-0.0.5.tar.gz
(3.7 kB
view hashes)
Built Distribution
Close
Hashes for conceptlearning-0.0.5-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 11d09511e0dc1b07e81f73e1d4cf3174b05798c578001b8c8ee7ce11f778df56 |
|
MD5 | 24cfd563c59d7b83d7fa72702fbdeec3 |
|
BLAKE2b-256 | abfa3632e4cb1b81cfe25fec2b988b0b22323e83f4bb08855df58ac5c4b59448 |