Model Server API

Using AlpacaClient

AlpacaTag:
  + alpaca_client:
      - __init__.py
      - setup.py
  - alpaca_server
  - annotation

The best way to install the client is via setup.py install. move into alpaca_client directory and enter the command:

python setup.py install

Method	Description
`.initiate(project_id)`	Model Initiate: If the model of same project id already exists in the directory, this method loads the model. If not, initiates the model
`.online_initiate(sentences, predefined_label)`	If the model is firstly initialized, it needs to make mappings of words, chars and labels to feature indices. (word_vocab, char_vocab, label_vocab)
`.online_learning(sentences, labels, epoch, batch)`	feeds annotated sentences into the model with specified epoch and batch size.
`.active_learning(sentences, acquire)`	Feeds the sentences into the model and get the most ambiguous instances by size of acquire
`.predict(sentences)`	Feeds the sentences and get the prediction