Kashgari

- ✨ Add shuffle parameter to fit function (249 )
- ✨ Improved type hinting for the loaded model (248)
- 🐛 Fix loading models with CRF layers (244, 228)
- 🐛 Fix the configuration changes during embedding save/load (224)
- 🐛 Fix stacked embedding save/load (224)
- 🐛 Fix evaluate function where the list has int instead of str (222)
- 💥 Renaming `model.pre_processor` to `model.processor`
- 🚨 Removing TensorFlow and numpy warnings
- 📝 Add docs how to specify which CPU or GPU
- 📝 Add docs how to compile model with custom optimizer

- 🐛 Fixing CuDNN Error (198)

- 💥 Add CuDNN Cell config, disable auto CuDNN cell. (182, 198)

- 📝 Rewrite documents with mkdocs
- 📝 Add Chinese documents
- ✨ Add `predict_top_k_class` for classification model to get predict probabilities ([146](https://github.com/BrikerMan/Kashgari/issues/146))
- 🚸 Add `label2idx`, `token2idx` properties to Embeddings and Models
- 🚸 Add `tokenizer` property for BERT Embedding. ([136](https://github.com/BrikerMan/Kashgari/issues/136))
- 🚸 Add `predict_kwargs` for models `predict()` function
- ⚡️ Change multi-label classification's default loss function to binary_crossentropy ([151](https://github.com/BrikerMan/Kashgari/issues/151))

🎉🎉 tf.keras version 🎉🎉

- 🎉 Rewrite Kashgari using `tf.keras`. Discussion: [77](https://github.com/BrikerMan/Kashgari/issues/77)
- 🎉 Rewrite Documents.
- ✨ Add TPU support.
- ✨ Add TF-Serving support.
- ✨ Add advance customization support, like multi-input model.
- 🐎 Performance optimization.

- 📝 Add tf.keras version info
- 🐛 Fixing lstm issue in labeling model ([125](https://github.com/BrikerMan/Kashgari/issues/125))

[Code Compare](https://github.com/BrikerMan/Kashgari/compare/v0.2.4...v0.2.5)