Apyori
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.pycommand.If installed, you can also run with
apyori-runcommand.
For more details, use ‘-h’ option.
Samples
Basic usage
apyori-run < data/integration_test_input_1.tsvUse TSV output
apyori-run -f tsv < data/integration_test_input_1.tsvFields of output mean:
Base item.
Appended item.
Support.
Confidence.
Lift.
Specify the minimum support
apyori-run -s 0.5 < data/integration_test_input_1.tsvSpecify the minimum confidence
apyori-run -c 0.5 < data/integration_test_input_1.tsv1 maintainer
Metadata
1 maintainer
Release files for apyori 1.1.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| apyori-1.1.2.tar.gz | 8.6 kB | Without provenance | Details for apyori-1.1.2.tar.gz |
Release files / apyori-1.1.2.tar.gz
| Download URL | apyori-1.1.2.tar.gz |
|---|---|
| Size | 8.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
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Python-urllib/3.7
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Security for apyori 1.1.2
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