Rust binding to crfsuite

Add it to your Cargo.toml:

[dependencies]
crfsuite = "0.3"

Add extern crate crfsuite to your crate root and your're good to go!

There is also a Python package named crfsuite, you can install it via pip:

pip install -U crfsuite

Usage example:

from crfsuite import Model

if __name__ == '__main__':
    model = Model('path/to/crfsuite/model.crf')
    tagged = model.tag(["abc", "def"])
    print(tagged)

RUST_LOG=info cargo run --example train -- -p c1=0.1 -p c2=0.1 -p max_iterations=100 -p feature.possible_transitions=1 -m ner train.data -v -v
RUST_LOG=info cargo run --example tag -- -t -m ner test.data

cargo bench --bench predict_benchmark
python3 -m locust --host http://localhost:8080 -f locustfile.py

• interface refine
  • fit (train)
  • evaluate

model.fit(train_images, 
        train_labels,
        epochs=50, 
        batch_size=batch_size, 
        callbacks=[cp_callback],
        validation_data=(test_images, test_labels),
        verbose=0)
loss, acc = model.evaluate(test_images, test_labels, verbose=2)
model.save('my_model.keras')
model = load_model('my_model.keras')
new_model.summary()
new_model.predict(test_images)

• ref https://www.tensorflow.org/tutorials/keras/text_classification
• dataset refine
  • train/validation/test
• structure:
  • tower::service API

• Optimization
  • https://nnethercote.github.io/perf-book/title-page.html

This work is released under the MIT license. A copy of the license is provided in the LICENSE file.