simple_intent_classifier#

class besser.bot.nlp.intent_classifier.simple_intent_classifier.SimpleIntentClassifier(nlp_engine, state)[source]#

Bases: IntentClassifier

A Simple Intent Classifier.

It works using a simple Keras Neural Network (the prediction model) for text classification.

Parameters:

nlp_engine (NLPEngine) – the NLPEngine that handles the NLP processes of the bot
state (State) – the state the intent classifier belongs to

_tokenizer#

The intent classifier tokenizer

Type:: Tokenizer

_model#

The intent classifier language model

Type:: Sequential

num_words#

Max num of words to keep in the index of words

Type:: int

lower#

Weather to transform the sentences to lowercase or not

Type:: bool

oov_token#

Token for the out of vocabulary words

Type:: str

num_epochs#

Number of epochs to be run during training

Type:: int

embedding_dim#

Number of embedding dimensions to be used when embedding the words

Type:: int

input_max_num_tokens#

Max length for the vector representing a sentence

Type:: int

discard_oov_sentences#

Weather to automatically assign zero probabilities to sentences with all tokens being oov ones or not

Type:: bool

check_exact_prediction_match#

Whether to check for exact match between the sentence to predict and one of the training sentences or not

Type:: bool

activation_last_layer#

The activation function of the last layer

Type:: str

activation_hidden_layers#

The activation function of the hidden layers

Type:: str

lr#

Learning rate for the optimizer

Type:: float

__intent_label_mapping#: A mapping of the intent labels and their corresponding intents.

__total_labels_training_sentences#: The label (identifying the intent) of all training sentences.

__total_training_sentences#: All the processed training sentences of all intents of the intent classifier’s state.

__total_training_sequences#: All the training sequences of all intents of the intent classifier’s state.

_abc_impl = <_abc._abc_data object>#

predict(message)[source]#

Predict the intent of a given message.

Instead of returning only the intent with the highest likelihood, return all predictions. Predictions include not only the intent scores but other information extracted from the message.

Parameters:: message (str) – the message to predict the intent
Returns:: the list of predictions made by the intent classifier.
Return type:: list[IntentClassifierPrediction]

train()[source]#: Train the intent classifier.