Exemplos de extract_n_by_n em Python

Exemplo n.º 1

Arquivo: pca_sklearn.py Projeto: jackaranda/phasespace

	def transform(self, predictors, **kwargs):

		result = []

		id = 0
		for location in self.locations:
			raw = extract_n_by_n(predictors, location, **kwargs)
			result.append(self.pcas[id].transform(raw))
			id += 1

		return result

Exemplo n.º 2

Arquivo: pca_sklearn.py Projeto: jackaranda/phasespace

	def fit(self, predictors, locations, **kwargs):

		self.locations = locations
		self.pcas = []
		self.n = predictors['n']

		for location in locations:
			raw = extract_n_by_n(predictors, location, **kwargs)
			
			#pca = PCA(n_components='mle', whiten=True)
			#pca = PCA(n_components=0.95, whiten=True)
			pca = PCA(n_components=2)
			
			pca = pca.fit(raw)
			components = pca.components_
			pca.components_ = components
			
			self.pcas.append(pca.fit(raw))

			print "pca: ", location, pca.n_components_, pca.explained_variance_ratio_