Al
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fe8f3158f6
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[fix] missing file in geodata
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2016-01-17 22:23:44 -05:00 |
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Al
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5fd9dc7e2b
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[scripts] relative dirs in setup.py for geodata
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2016-01-17 22:22:50 -05:00 |
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Al
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da62ff309e
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[transliteration] Fixing Malayalam script
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2016-01-17 22:15:56 -05:00 |
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Al
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5385cb71d6
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[languages] Adding English dictionaries to Indonesia
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2016-01-17 22:08:06 -05:00 |
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Al
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8030b235e6
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[languages] Changing the definition in script languages so only languages that appear on street signs will be used
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2016-01-17 22:03:41 -05:00 |
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Al
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0dfd8d6439
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[language_classification] Adding script feature for any non-Latin script. Even if the script doesn't directly identify the language, it can act as a modified intercept (all Han script addresses will share the Han feature, even if we haven't seen one of the > 80k Han characters)
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2016-01-17 21:37:45 -05:00 |
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Al
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b9a3230f65
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[language_classification] Removing the per-country classifier, text-based alone is doing close to 99% accuracy now
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2016-01-17 21:13:14 -05:00 |
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Al
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f808f74271
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[language_classification] Automatic hyperparameter optimization using either the cross-validation set or two distinct subsets of the training set
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2016-01-17 21:11:37 -05:00 |
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Al
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af5689ee52
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[fix] removing unused var
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2016-01-17 21:00:17 -05:00 |
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Al
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7d727fc8f0
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[optimization] Using adapted learning rate in stochastic gradient descent (if lambda > 0)
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2016-01-17 20:59:47 -05:00 |
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Al
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7b300639f1
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[fix] Trie prefix search tail comparison
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2016-01-17 20:56:37 -05:00 |
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Al
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70dbfdd560
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[unicode] Regenerating unicode_script_data.c
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2016-01-17 20:53:44 -05:00 |
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Al
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de240d2b94
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[fix] tokenize_add_tokens respects specified length
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2016-01-17 20:51:47 -05:00 |
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Al
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10cadc67d7
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[io] matrix_read using array I/O functions
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2016-01-17 20:40:18 -05:00 |
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Al
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baba826d21
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[io] Cutting down on system calls in trie_read
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2016-01-17 20:39:19 -05:00 |
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Al
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cba2acc21f
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[io] Sparse matrix using array I/O methods
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2016-01-17 20:38:16 -05:00 |
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Al
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46b35c5202
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[utils] Adding functions to read numeric arrays from files
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2016-01-17 20:36:57 -05:00 |
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Al
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3d7dd8966e
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[languages] Using unicode script in language disambiguation in addition to dictionaries. Eliminating dependency on address_normalizer
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2016-01-17 18:28:28 -05:00 |
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Al
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fa32eacdd1
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[phrases] Adding Python phrase filter from address_normalizer until a Python wrapper around libpostal's trie_search is available
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2016-01-17 15:45:02 -05:00 |
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Al
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f79a3c5bf4
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[osm/polygons] Allowing polygons that GEOS claims are invalid in OSM polygon index (there were some glaring omissions from the index like the polygons for the UK or Berlin). For some reason .buffer(0) creates weird multipolygons that no longer contain their centroids, etc. and aren't useful in reverese geocoding
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2016-01-17 15:43:21 -05:00 |
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Al
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04f251c1cc
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[polygons] Don't call fix_polygon (force polygon validity) by default
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2016-01-16 21:21:27 -05:00 |
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Al
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19a5541a85
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[polygons/osm] append polygon nodes by vertices that connect to each other
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2016-01-16 21:20:49 -05:00 |
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Al
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d4143c1685
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[parsing] Adding an optimization to the parser API where, if the entire input is a single known geographic phrase like New York, it returns the most likely label from the training data. That way e.g. a search for 'Florida' doesn't get tagged as 'house.' This doesn't affect training, only prediction.
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2016-01-15 20:07:21 -05:00 |
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Al
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24b4a680c3
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[languages] Adding English dictionaries for Bangladesh
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2016-01-14 13:36:07 -05:00 |
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Al
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edebdf73e0
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[dictionaries] Using long forms as canonical for English degrees as new language models may do some auto-abbreviating
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2016-01-14 13:35:41 -05:00 |
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Al
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58e53cab1c
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[scripts] Adding the tokenize/normalize wrappers directly into the internal geodata package so pypostal can be maintained in an independent repo
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2016-01-12 13:29:31 -05:00 |
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Al
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622dc354e7
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[optimization] Adding learning rate to lazy sparse update in stochastic gradient descent
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2016-01-12 11:04:16 -05:00 |
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Al
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79f2b7c192
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[build] Removing source from libpostal shared lib
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2016-01-12 10:31:22 -05:00 |
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Al
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6a9c1e8c6d
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[build] Adding trie_utils.c to address parser train/test
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2016-01-12 10:22:34 -05:00 |
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Al
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7cc201dec3
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[optimization] Moving gamma_t calculation to the header in SGD
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2016-01-11 16:40:50 -05:00 |
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Al
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25ae5bed33
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[unicode] Adding SCRIPT_INHERITED as a common script so diacritics like COMBING CEDILLA don't break the current script and produce false word breaks
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2016-01-11 16:39:21 -05:00 |
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Al
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3260edcf18
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[math] Adding sparse dot sparse given a dense output matrix (suitable for the minibatch use case), fixing sparse dot vector
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2016-01-11 13:55:54 -05:00 |
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Al
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736bc7c70d
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[config] language_classifier data dir
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2016-01-10 03:05:36 -05:00 |
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Al
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ebaedb6bcf
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[language_classifier] Language classifier training using L2-regularized logistic regression and stochastic gradient descent
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2016-01-10 01:31:18 -05:00 |
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Al
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56710cce21
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[language_classifier] Language classifier data set I/O
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2016-01-10 01:22:29 -05:00 |
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Al
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0558475a50
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[language_classifier] Language classifier structs, I/O and API
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2016-01-10 01:20:17 -05:00 |
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Al
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b85e454a58
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[fix] var
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2016-01-09 03:43:53 -05:00 |
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Al
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b13462f8ef
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[language_classifier] Features for address languages classification, quadgrams for most languages, unigrams for ideographic characters, script for single-script languages like Thai, Hebrew, etc.
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2016-01-09 03:42:57 -05:00 |
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Al
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29930fa7b6
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[fix] sort hash keys by value
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2016-01-09 03:38:25 -05:00 |
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Al
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62017fd33d
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[optimization] Using sparse updates in stochastic gradient descent. Decomposing the updates into the gradient of the loss function (zero for features not observed in the current batch) and the gradient of the regularization term. The derivative of the regularization term in L2-regularized models is equivalent to an exponential decay function. Before computing the gradient for the current batch, we bring the weights up to date only for the features observed in that batch, and update only those values
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2016-01-09 03:37:31 -05:00 |
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Al
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aa22db11b2
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[math] Matrix arithmetic
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2016-01-09 01:45:10 -05:00 |
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Al
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197b18f3cf
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[fix] NULL check
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2016-01-09 01:43:25 -05:00 |
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Al
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9c4b5ccbb1
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[math] Adding array_{op}_times_scalar methods
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2016-01-09 01:42:54 -05:00 |
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Al
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2f1e2139ca
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[math] Unique columns as array for CSR sparse matrix
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2016-01-09 01:40:26 -05:00 |
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Al
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023c04d78f
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[classification] Pre-allocating memory in logistic regression trainer, storing last updated timestamps for sparse stochastic gradient descent and using the new gradient API
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2016-01-09 01:39:24 -05:00 |
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Al
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562cc06eaf
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[classification] Sparse version of logistic regression gradient which, given an array of the features/columns used in the input batch, only updates the gradient for that batch, even for the operations which otherwise would apply to the entire matrix (scaling by -1/m, regularization)
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2016-01-09 01:33:33 -05:00 |
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Al
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5ca4bba1d5
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[fix] Writing matrix dimension as 64-bit
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2016-01-08 01:29:52 -05:00 |
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Al
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8f054eeeb1
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[classification] Training structures for logistic regression and stochastic (minibatch) gradient descent update
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2016-01-08 01:07:20 -05:00 |
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Al
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4acf10c3a4
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[classification] Multinomial logistic regression, gradient and cost function
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2016-01-08 01:03:09 -05:00 |
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Al
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8b70529711
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[optimization] Stochastic gradient descent with gain schedule a la Leon Bottou
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2016-01-08 00:54:17 -05:00 |
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