# 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:
* IOB
* IOBES
## How to use
Behold, the power of seqeval:
```python
>>> 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)
0.50
>>> accuracy_score(y_true, y_pred)
0.50
>>> 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:
```python
>>> 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)
0.50
```
## Install
To install seqeval, simply run:
```
$ pip install seqeval
```
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Release files for seqeval 0.0.2
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