apyori 1.1.1

Simple Apriori algorithm Implementation.

Apyori is a simple implementation of Apriori algorithm with Python 2.7 and 3.3 - 3.5, provided as APIs and as commandline interfaces.

Module Features

• Consisted of only one file and depends on no other libraries, which enable you to use it portably.
• Able to used as APIs.

Application Features

• Supports a JSON output format.
• Supports a TSV output format for 2-items relations.

Installation

Choose one from the following.

• Put apyori.py into your project.
• Run python setup.py install.

API Usage

Here is a basic example:

from apyori import apriori

transactions = [
    ['beer', 'nuts'],
    ['beer', 'cheese'],
]
results = list(apriori(transactions))

For more details, see apyori.apriori pydoc.

CLI Usage

First, prepare input data as tab-separated transactions.

• Each item is separated with a tab.
• Each transactions is separated with a line feed code.

Second, run the application. Input data is given as a standard input or file paths.

• Run with python apyori.py command.
• If installed, you can also run with apyori-run command.

For more details, use ‘-h’ option.

Samples

Basic usage

apyori-run < data/integration_test_input_1.tsv

Use TSV output

apyori-run -f tsv < data/integration_test_input_1.tsv

Fields of output mean:

• Base item.
• Appended item.
• Support.
• Confidence.
• Lift.

Specify the minimum support

apyori-run -s 0.5 < data/integration_test_input_1.tsv

Specify the minimum confidence

apyori-run -c 0.5 < data/integration_test_input_1.tsv