Comments (1)
Unfortunately not–by the time it hits the brain file, each input has been chopped up into trigrams and any additional context has been lost. It would be possible to write a tool to extract the trigrams themselves, but I'm not sure they would be useful on their own.
My recommendation is to retain a log (text file; one input per line) of everything that has been trained, but obviously that doesn't work in hindsight.
The approach I've taken in fate, cobe's successor, is to store no database at all: it trains from scratch on start and keeps everything in memory. That text file becomes the database, in effect. Partly that decision was driven by how inflexible the sqlite-based cobe ended up being.
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Related Issues (20)
- Threading with cobe? HOT 1
- Crash with certain encoding HOT 3
- Argparse in requirements HOT 2
- Setting Stemmer fails with sqlite 2.6.0 HOT 3
- No module named itertools HOT 8
- Please Document your Python Interface HOT 1
- IRC client crashes when someone in the room sends any random message HOT 7
- Very old version of cobe brain doesn't load HOT 3
- Ability to redirect output
- irc-client doesn't join channel
- Python 3 Support HOT 12
- Increase n-gram count HOT 10
- Constant reply time HOT 3
- No module named Brain HOT 1
- AttributeError: module 'irc' has no attribute 'buffer'
- Unable to open database file
- _sqlite3.ProgrammingError: SQLite objects created in a thread can only be used in that same thread. The object was created in thread id 140491086620544 and this is thread id 140490980185856
- Python 3 refinements in the COBE codebase
- Reply length variation
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from cobe.