Comments (3)
After scanning over the source code, it seems that building a Chain
object it's too complex of a procedure (it should be O(n)
) but it can be slow with large inputs.
However, loading a large JSON file into a dict is also O(n)
, and slow with large inputs. You actually need to parse out more text when reading from a JSON file than when building the initial chain, since the JSON format of the Text
object contains both the original text as well as the entire markov chain.
from markovify.
With #50 you should see faster loading times for exported models (about 50% in my tests).
from markovify.
#50 has been incorporated in to v0.6.0
, which is now available via pip
.
from markovify.
Related Issues (20)
- Character level chains instead of word level? HOT 2
- Markovify always outputs "None" with russian corpus HOT 12
- markovify and music HOT 1
- Thank you for a job well done! HOT 2
- I can’t install because of the encoding of the file HOT 1
- Can I generate sentence with only two words? HOT 2
- generate sentence with it's prediction HOT 2
- spaCy model shortcuts are deprecated HOT 1
- Non-english characters are not being displayed correctly.
- markov_text_model.make_sentence_with_start KeyError HOT 1
- Fallback without building a new model? HOT 1
- “python_requires” should be set with “>=3.6”, as markovify 0.9.3 is not compatible with all Python versions. HOT 1
- Control generated sentences randomness HOT 2
- - HOT 2
- missing utf-8 BOM lead to codec failures during tests on windows
- Markovify - Markov chain : Seed and Condition to text generated based in input. HOT 2
- markovify's make_sentence_with_start() doesn't seem to work properly HOT 11
- Can't install on browser webpage.
- Markovify returns None HOT 3
- Brackets and Speechmarks HOT 1
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