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Receive the path to the model type and the configuration for the path.

Load

def load(self, model_dir, name, version):

Receive the path to the model type, the name of the model and the version of it, in this section the loading of the model is expected.

Save

def save(self):

Save the current loaded model.

Clear

def clear(self):

Remove the current loaded model, and any training data in memory.

Feed

def feed(self, data):

Receives a list of string tokens to be added to the training data.

Train

def train(self, **kwargs):

Trains the model with the documents fed, the model can be either kept in memory or saved.

Predict

def predict(self, data: list):

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Implements regression. We yet haven't implement a model for this particular method, at the moment it exists for future implementation.

Classify

def classify(self, data) -> (str, float):

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