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* | cleanup notes | Martin Czygan | 2020-10-31 | 1 | -3/+0 | |
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* | update workflow notes | Martin Czygan | 2020-10-31 | 1 | -0/+6 | |
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* | note on workflow | Martin Czygan | 2020-10-31 | 1 | -3/+3 | |
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* | move around notes | Martin Czygan | 2020-10-31 | 5 | -2258/+1 | |
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* | update notes on cluster, nb | Martin Czygan | 2020-10-22 | 1 | -1/+47 | |
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* | update notes on clustering | Martin Czygan | 2020-10-22 | 1 | -0/+18 | |
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* | update cluster notes | Martin Czygan | 2020-10-22 | 1 | -0/+27 | |
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* | notes: clustering | Martin Czygan | 2020-10-22 | 1 | -0/+11 | |
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* | cluster variants | Martin Czygan | 2020-10-21 | 1 | -0/+54 | |
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* | update various docs; start data issue log | Martin Czygan | 2020-09-03 | 2 | -1/+1 | |
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* | add notes on abbrevs | Martin Czygan | 2020-08-15 | 2 | -0/+2260 | |
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* | update plan | Martin Czygan | 2020-08-14 | 1 | -0/+5 | |
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* | note on optimization: marisa-trie | Martin Czygan | 2020-08-12 | 1 | -0/+1 | |
| | | | | | | | | | | Currently, the JSON mapping is 172M, turning this into a dict takes a bit, plus consumes GBs of memory. For exact lookups, we might want to use marisa-trie: > String data in a MARISA-trie may take up to 50x-100x less memory than in a standard Python dict; the raw lookup speed is comparable; trie also provides fast advanced methods like prefix search. | |||||
* | add notes/todo | Martin Czygan | 2020-08-12 | 1 | -0/+17 | |