Referencia de la Clase vsm.model.ldacgsseq.LdaCgsSeq

Diagrama de herencias de vsm.model.ldacgsseq.LdaCgsSeq

Diagrama de colaboración para vsm.model.ldacgsseq.LdaCgsSeq:

Métodos públicos
def	__init__
def	Z_split
def	docs
def	train
def	save

Métodos públicos estáticos
def	load

Atributos públicos
	context_type
	K
	V
	indices
	corpus
	Z
	alpha
	word_top
	inv_top_sums
	top_doc
	iteration
	log_probs
	seed

Descripción detallada

An implementation of LDA using collapsed Gibbs sampling.

Documentación del constructor y destructor

def vsm.model.ldacgsseq.LdaCgsSeq.__init__	(		self,
			corpus = None,
			context_type = None,
			Z = [],
			K = 20,
			V = 0,
			alpha = [],
			beta = [],
			seed = None
	)

Initialize LdaCgsSeq.

:param corpus: Source of observed data.
:type corpus: `Corpus`

:param context_type: Name of tokenization stored in `corpus` whose tokens
    will be treated as documents.
:type context_type: string, optional

:param K: Number of topics. Default is `20`.
:type K: int, optional

:param alpha: Document priors. Default is a flat prior of 0.01
    for all topics.
:type alpha: list, optional

:param beta: Topic priors. Default is 0.01 for all words.
:type beta: list, optional

:param seed: Seed for numpy's RandomState. Default is `None`.
:type seed: int, optional

Documentación de las funciones miembro

def vsm.model.ldacgsseq.LdaCgsSeq.load (   filename )

static

A static method for loading a saved LdaCgsMulti model.

:param filename: Name of a saved model to be loaded.
:type filename: string

:returns: m : LdaCgsMulti object

:See Also: :class:`numpy.load`

def vsm.model.ldacgsseq.LdaCgsSeq.save	(		self,
			filename
	)

Saves the model in an `.npz` file.

:param filename: Name of a saved model to be loaded.
:type filename: string

:See Also: :class:`numpy.savez`

def vsm.model.ldacgsseq.LdaCgsSeq.train	(		self,
			n_iterations = 100,
			verbose = 1,
			kwargs
	)

Takes an optional argument, `n_iterations` and updates the model
`n_iterations` times.

:param n_iterations: Number of iterations. Default is 100.
:type n_iterations: int, optional

:param verbose: If 1, current number of iterations
    are printed out to notify the user. Default is 1.
:type verbose: int, optional

:param kwargs: For compatability with calls to LdaCgsMulti.
:type kwargs: optional

---

La documentación para esta clase fue generada a partir del siguiente fichero:

• vsm/vsm/model/ldacgsseq.py