pyGrams private

* argschecker updated #178 * Reverted to latest pdmarima (#212) * Removed erroneous 2nd arima fit (#212) arima fits on construction, don't need to explicitly call 'fit' * Removed erroneous 2nd arima fit (#212) arima fits on construction, don't need to explicitly call 'fit' * Reverted to original test specification (#212) * Reverted to original test specification (#212) * Added version debug code (#212) As requested on pmdarima bug reporting page * Added version debug code (#212) As requested on pmdarima bug reporting page * Report warnings and errors (#212) May have accidentely been surpressing errors - that could be reporting why the test fails * Report warnings and errors (#212) May have accidentely been surpressing errors - that could be reporting why the test fails * resolves #217 * resolves #217 * test * test * test * test * test * test * changed the tests with real data to check if random numbers were comfusing the models, hence the big discrepancies * changed the tests with real data to check if random numbers were comfusing the models, hence the big discrepancies * Updated Arima to use pmdarima rather than pyramid-arima (#212) * Updated Arima to use pmdarima rather than pyramid-arima (#212) * Test pmdarima 1.0.0 to test windows (#212) Seeing if an earlier version of pmdarima works in windows * Test pmdarima 1.0.0 to test windows (#212) Seeing if an earlier version of pmdarima works in windows * emtech report to file! * emtech report to file! * Reverted to latest pdmarima (#212) * Reverted to latest pdmarima (#212) * Removed erroneous 2nd arima fit (#212) arima fits on construction, don't need to explicitly call 'fit' * Removed erroneous 2nd arima fit (#212) arima fits on construction, don't need to explicitly call 'fit' * Reverted to original test specification (#212) * Reverted to original test specification (#212) * Added version debug code (#212) As requested on pmdarima bug reporting page * Added version debug code (#212) As requested on pmdarima bug reporting page * Report warnings and errors (#212) May have accidentely been surpressing errors - that could be reporting why the test fails * Report warnings and errors (#212) May have accidentely been surpressing errors - that could be reporting why the test fails * analyzer ngrams processing was not stopping unigrams :) * analyzer ngrams processing was not stopping unigrams :) * adjusted tests to reflect bug fixes in stoplists processing * adjusted tests to reflect bug fixes in stoplists processing * added a check on the returned tuple for stopwords. That will enable users to optimize list without having to re-compute tf-idf * added a check on the returned tuple for stopwords. That will enable users to optimize list without having to re-compute tf-idf * pmdarima>=110 * pmdarima>=110 * added a check on the returned tuple for stopwords. That will enable users to optimize list without having to re-compute tf-idf * added a check on the returned tuple for stopwords. That will enable users to optimize list without having to re-compute tf-idf * rid of vectorizer. Only vocabulary needed * rid of vectorizer. Only vocabulary needed * 225 ridof pmdarima (#226) * rid of vectorizer. Only vocabulary needed * rid of pmd. Also realized that two of our test series were identical. No need to test them twice :) * pmd left. * just to check why one excepts and other doesn't * rid of vectorizer. Only vocabulary needed * scipy was the proble, in the end. Has to be >=1.2.1 * 225 ridof pmdarima (#226) * rid of vectorizer. Only vocabulary needed * rid of pmd. Also realized that two of our test series were identical. No need to test them twice :) * pmd left. * just to check why one excepts and other doesn't * rid of vectorizer. Only vocabulary needed * scipy was the proble, in the end. Has to be >=1.2.1 * 223 pipeline bug (#224) * rid of vectorizer. Only vocabulary needed * pickle-depickle tfidf test now represents different executions (#223) WordAnalyser reset between calls to main() - will catch if stopwords etc not populated * 223 pipeline bug (#224) * rid of vectorizer. Only vocabulary needed * pickle-depickle tfidf test now represents different executions (#223) WordAnalyser reset between calls to main() - will catch if stopwords etc not populated * Travis now reports python packages in use Added `pip freeze` to travis.yml * Travis now reports python packages in use Added `pip freeze` to travis.yml * Corrected pip listing of packages * Corrected pip listing of packages * 228 data path (#229) * Removed override to 'data' path and added date info #228 Now reports date range of patents in use * Removed 2nd construction of WordAnalyser #228 * 228 data path (#229) * Removed override to 'data' path and added date info #228 Now reports date range of patents in use * Removed 2nd construction of WordAnalyser #228 * 230 arima failing (#231) * Alternative method...truncated (10000 bytes)