Utils and Matutils changes#1062
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piskvorky
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Dec 28, 2016
| if len(doc1) == 0: # sparse documents must have a __len__ function (list, tuple...) | ||
| return True, obj # the first document is empty=>assume this is a corpus | ||
| id1, val1 = next(iter(doc1)) # if obj is a numpy array, it resolves to False here | ||
| id1, val1 = next(iter(doc1)) # if obj is a np array, it resolves to False here |
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This replacement (and the one above) look unnecessary, the original was clearer.
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Cool, will fix it
tmylk
reviewed
Dec 28, 2016
| def lda_e_step(doc_word_ids, doc_word_counts, alpha, beta, max_iter=100): | ||
| gamma = np.ones(len(alpha)) | ||
| expElogtheta = np.exp(dirichlet_expectation(gamma)) | ||
| expElogtheta = np.exp(matutils.dirichlet_expectation(gamma)) |
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better to add from matutils import dirichlet_expectation to avoid this change
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|
Thanks for the improvement! |
piskvorky
reviewed
Dec 29, 2016
| def run(self): | ||
| if self.as_numpy: | ||
| import numpy # don't clutter the global namespace with a dependency on numpy | ||
| import np # don't clutter the global namespace with a dependency on numpy |
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Looks like the global module namespace already has numpy, so this line is unnecessary.
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| """ | ||
| import numpy | ||
| import numpy as np |
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Already imported at module level, this line no longer unnecessary.
jayantj
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Jan 4, 2017
* Utils, Matutils changes * Changed comments * changed matutils import
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dirichlet_expectationtomatutilsas the same code was being used in bothldamodelandhdpmodel.numpyinutilsandmatutilstonp, keeping it uniform across the package.hdpmodelto make it consistent withldamodel