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Testing framework for sequence labeling

Project description

# seqeval
seqeval is a testing framework for sequence labeling.
You can evaluate named-entity recognition, part-of-speech tagging, semantic role labeling and so on.

seqeval supports following format:

## How to use
Behold, the power of seqeval:

>>> from seqeval.metrics import f1_score, accuracy_score, classification_report
>>> y_true = ['O', 'O', 'O', 'B-MISC', 'I-MISC', 'I-MISC', 'O', 'B-PER', 'I-PER']
>>> y_pred = ['O', 'O', 'B-MISC', 'I-MISC', 'I-MISC', 'I-MISC', 'O', 'B-PER', 'I-PER']
>>> f1_score(y_true, y_pred)
>>> accuracy_score(y_true, y_pred)
>>> classification_report(y_true, y_pred)
precision recall f1-score support

MISC 0.00 0.00 0.00 1
PER 1.00 1.00 1.00 1

avg / total 0.50 0.50 0.50 2

You can fed a nested list into the functions:

>>> y_true = [['O', 'O', 'O', 'B-MISC', 'I-MISC', 'I-MISC', 'O'], ['B-PER', 'I-PER']]
>>> y_pred = [['O', 'O', 'B-MISC', 'I-MISC', 'I-MISC', 'I-MISC', 'O'], ['B-PER', 'I-PER']]
>>> f1_score(y_true, y_pred)

## Install
To install seqeval, simply run:

$ pip install seqeval

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