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Sistema de Consulta Abierta
Sistema de consulta abierta con módulo de análisis semántico
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Métodos públicos | |
| def | __init__ |
| def | train |
Atributos públicos | |
| context_type | |
| shape | |
| dtype | |
| matrix | |
`BeagleEnvironment` is a randomly generated fixed vectors representing the environment.
| def vsm.model.beagleenvironment.BeagleEnvironment.__init__ | ( | self, | |
| corpus, | |||
n_cols = 2048, |
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dtype = np.float64, |
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context_type = 'sentence' |
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| ) |
Initialize BeagleEnvironment.
:param corpus: Source of observed data.
:type corpus: Corpus
:param n_cols: Number of columns. Default is 2048.
:type n_cols: int, optional
:param dtype: Numpy dtype for matrix attribute. Default is `np.float64`.
:type dtype: np.dtype, optional
:param context_type: Name of tokenization stored in `corpus` whose
tokens will be treated as documents. Default is `sentence`.
:type context_type: string, optional
| def vsm.model.beagleenvironment.BeagleEnvironment.train | ( | self | ) |
Sets a m x n environment matrix where m is the number of words in `corpus` and n is `n_cols`. The matrix consists of randomly generated vectors.
1.8.8