Serialization#
- libserving.serialization.save_knn(path: str, model: CfBase, k: int)[source]#
Save KNN model to disk.
- libserving.serialization.save_tf(path: str, model: TfBase, version: int = 1)[source]#
Save TF model to disk.
- libserving.serialization.save_online(path: str, model: DynEmbedBase | TfBase, version: int = 1)[source]#
Save online computing model to disk.
- Parameters:
path (str) – Model saving path.
model (Union[DynEmbedBase, TfBase]) – Model to save.
version (int, default: 1) – Version number used in
tf.saved_model
.
- libserving.serialization.knn2redis(path: str, host: str = 'localhost', port: int = 6379, db: int = 0)[source]#
Save KNN model to redis.
- libserving.serialization.embed2redis(path: str, host: str = 'localhost', port: int = 6379, db: int = 0)[source]#
Save Embed model to redis.
- libserving.serialization.tf2redis(path: str, host: str = 'localhost', port: int = 6379, db: int = 0)[source]#
Save TF model to redis.