simplebayes package¶
Module contents¶
The MIT License (MIT)
Copyright (c) 2015 Ryan Vennell
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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class
simplebayes.
SimpleBayes
(tokenizer=None, cache_path='/tmp/')[source]¶ Bases:
object
A memory-based, optional-persistence naïve bayesian text classifier.
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cache_file
= '_simplebayes.pickle'¶
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cache_persist
()[source]¶ Saves the current trained data to the cache. This is initiated by the program using this module
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cache_train
()[source]¶ Loads the data for this classifier from a cache file
- Returns
whether or not we were successful
- Return type
bool
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calculate_bayesian_probability
(cat, token_score, token_tally)[source]¶ Calculates the bayesian probability for a given token/category
- Parameters
cat (str) – The category we’re scoring for this token
token_score (float) – The tally of this token for this category
token_tally (float) – The tally total for this token from all categories
- Returns
bayesian probability
- Return type
float
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classify
(text)[source]¶ Chooses the highest scoring category for a sample of text
- Parameters
text (str) – sample text to classify
- Returns
the “winning” category
- Return type
str
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classmethod
count_token_occurrences
(words)[source]¶ Creates a key/value set of word/count for a given sample of text
- Parameters
words (list) – full list of all tokens, non-unique
- Returns
key/value pairs of words and their counts in the list
- Return type
dict
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get_cache_location
()[source]¶ Gets the location of the cache file
- Returns
the location of the cache file
- Return type
string
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score
(text)[source]¶ Scores a sample of text
- Parameters
text (str) – sample text to score
- Returns
dict of scores per category
- Return type
dict
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tally
(category)[source]¶ Gets the tally for a requested category
- Parameters
category (str) – The category we want a tally for
- Returns
tally for a given category
- Return type
int
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classmethod
tokenize_text
(text)[source]¶ Default tokenize method; can be overridden
- Parameters
text (str) – the text we want to tokenize
- Returns
list of tokenized text
- Return type
list
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