TIEF AI Library

TIEF.ai is an AI library for research and study purpose. This library is very easy to use. If you found some lack of performance or some issues, just tell me. I'll upgrade it as soon as possible.

Features

Dillinger uses a number of open source projects to work properly:

• [Association Rule] - a rule-based machine learning method for discovering interesting relations between variables
• [KNN, etc] - Coming Soon!

Installation

TIEF AI requires Python v3.6+ to run. Make sure you already installed python. Now install

$ pip install tief

Association Rule

a rule-based machine learning method for discovering interesting relations between variables

Usage

Make sure you already installed python and tief library. Now import association rule module

from tief.association import apriori
from tief.association import association_rule

This is an example of data transaction. Data should contain list of list of string like example below.

data = [
    ["bread", "jam", "butter"],
    ["bread", "butter"],
    ["bread", "milk", "butter"],
    ["chocolate", "bread", "milk", "butter"],
    ["chocolate", "milk"]
]

Now we called apriori module to get apriori itemset with each support values.

apriori_df = apriori(data, min_support=0.3)
apriori_df

	ItemSet	Count	Support
0	[bread]	4	0.8
1	[milk]	3	0.6
2	[butter]	4	0.8
3	[chocolate]	2	0.4
4	[bread, milk]	2	0.4
5	[bread, butter]	4	0.8
6	[milk, butter]	2	0.4
7	[milk, chocolate]	2	0.4
8	[bread, milk, butter]	2	0.4

Before we called association_rule module, we must convert apriori itemset column into list

itemset = apriori_df['ItemSet'].tolist()
conf_df = association_rule(itemset, min_confidence=0.8)
conf_df

	Notasi	Antecedent	Consequents	Antecedent Support	Consequents Support	Confidence
0	['bread'] --> ['butter']	[bread]	[butter]	0.8	0.8	1.0
1	['butter'] --> ['bread']	[butter]	[bread]	0.8	0.8	1.0
2	['chocolate'] --> ['milk']	[chocolate]	[milk]	0.4	0.6	1.0
3	['bread', 'milk'] --> ['butter']	[bread, milk]	[butter]	0.4	0.8	1.0
4	['milk', 'butter'] --> ['bread']	[milk, butter]	[bread]	0.4	0.8	1.0

License

MIT

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