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A fuzzy matching & clustering library for python.

Project description

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# Fog

A fuzzy matching/clustering library for Python.

## Installation

You can install `fog` with pip with the following command:

pip install fog

## Usage

* [Metrics](#metrics)
- [sparse_cosine_similarity](#sparse_cosine_similarity)

### Metrics

#### sparse_cosine_similarity

Computes the cosine similarity of two sparse weighted sets. Those sets have to be represented as counters.

from fog.metrics import sparse_cosine_similarity

# Basic
sparse_cosine_similarity({'apple': 34, 'pear': 3}, {'pear': 1, 'orange': 1})
>>> ~0.062

# Using custom key
A = {'apple': {'weight': 34}, 'pear': {'weight': 3}}
B = {'pear': {'weight': 1}, 'orange': {'weight': 1}}
sparse_cosine_similarity(A, B, key=lambda x: x['weight'])


* **A** *Counter*: first weighted set. Must be a dictionary mapping keys to weights.
* **B** *Counter*: second weighted set. Muset be a dictionary mapping keys to weights.
* **key** *?callable*: Optional function retrieving the weight from values.

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