| Fri, 26 Nov 2010 09:27:40 +0000 |
mas01mc |
Update tests for correct assertions, dot 1.1 = 1.insert(featData=test1, key=testfeature), this results from fixing strcmp for distance setting in pyadb.py
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| Fri, 26 Nov 2010 08:15:08 +0000 |
mas01mc |
Minor, somewhat cosmetic but currently wasteful, memory arithmetic in qpointers allocation
mkc_lsh_update
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| Fri, 26 Nov 2010 08:06:11 +0000 |
mas01mc |
added queryFromData(), passes equivalence test with queryFromKey
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| Fri, 26 Nov 2010 08:05:48 +0000 |
mas01mc |
added queryFromData(), passes equivalence test with queryFromKey
mkc_lsh_update
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| Fri, 26 Nov 2010 06:58:55 +0000 |
mas01mc |
Copied trunk python bindings -r 1110 to this branch.
mkc_lsh_update
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| Thu, 25 Nov 2010 13:42:40 +0000 |
mas01mc |
Adding mkc_lsh_update branch, trunk candidate with improved LSH: merged trunk 1095 and branch multiprobe_lsh
multiprobeLSH
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| Thu, 25 Nov 2010 13:42:40 +0000 |
mas01mc |
Adding mkc_lsh_update branch, trunk candidate with improved LSH: merged trunk 1095 and branch multiprobe_lsh
mkc_lsh_update
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| Thu, 25 Nov 2010 13:42:40 +0000 |
mas01mc |
Adding mkc_lsh_update branch, trunk candidate with improved LSH: merged trunk 1095 and branch multiprobe_lsh
malcolm-large-tracks
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| Thu, 25 Nov 2010 13:42:40 +0000 |
mas01mc |
Adding mkc_lsh_update branch, trunk candidate with improved LSH: merged trunk 1095 and branch multiprobe_lsh
fewerQueryDatumReads
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| Thu, 25 Nov 2010 02:30:53 +0000 |
mas01mc |
Fixed array boundary error on 1d array retrieval
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| Wed, 24 Nov 2010 19:29:52 +0000 |
mas01mc |
Fixed accumulation and distance options (strcmp==0) and added times. Added queryFromData
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| Wed, 24 Nov 2010 13:50:05 +0000 |
mas01mc |
added support for timesData
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| Mon, 22 Nov 2010 17:58:27 +0000 |
mas01mc |
Added wrappers for liszt, retrieve_datum, solved Py_XDECREF by copying source data and freeing retrieved memory
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| Sat, 20 Nov 2010 15:32:58 +0000 |
mas01mc |
Removed potential memory leak in _pyadb_retrieveDatum
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| Sat, 20 Nov 2010 15:26:41 +0000 |
mas01mc |
Added _pyadb_retrieveDatum for getting data, powers, or times as a numpy ndarray
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