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- New class FloatFeatures defined in `pycrfsuite._float_features`
- Useful for adding word embedding features
- Wrap the word embedding list of float values with FloatFeatures class
- The api supports the existing extraction of features from nested
dicts.
- Added test case in `tests/test_itemsequence.py`
Example usage:
```
import pycrfsuite
from pycrfsuite._float_features import FloatFeatures as FF
seq = pycrfsuite.ItemSequence([
{"w2v": FF([1., 2., 3.])},
{"w2v": FF([-1., 5, 4.])}
])
```
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