LdaModel predict

---

predict(self, document)

[ALPHA] Predict conditional probabilities of topics given document.

Parameters:

document : list

Document whose topics are to be predicted.

Returns:

: dict

Dictionary containing predicted topics. The data returned is composed of multiple keys:

list of doubles | topics_given_doc

List of conditional probabilities of topics given document.

int : new_words_count

Count of new words in test document not present in training set.

double | new_words_percentage

Percentage of new words in test document.

Predicts conditional probabilities of topics given document using trained Latent Dirichlet Allocation model. The input document is represented as a list of strings

Examples

See here for examples.