58 data mining #65
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58 data mining #65
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kaggle set has more than 5000 images but not every face from each image could be detected
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Dec 29, 2023
* updated model training and added kaggle set kaggle set has more than 5000 images but not every face from each image could be detected * feat: trained and evaluated different models. * feat: added models. * feat: added number of samples. * feat: added output. * feat: added titles to plots. * feat: added title to plots. * feat: added the analysis of the pyfeat classifier. * refactor: adapt to kaggle * ran pyfeat detector --------- Co-authored-by: LasseFrm <64502978+LasseFrm@users.noreply.github.com> Co-authored-by: Jurek Sander <44340639+sanderjk5@users.noreply.github.com>
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Jan 4, 2024
* Drink recommendation added dataset for drinks added drink recommendation function added rough script to recommend a drink * fix: fixed initialization. * 58 data mining (#65) * updated model training and added kaggle set kaggle set has more than 5000 images but not every face from each image could be detected * feat: trained and evaluated different models. * feat: added models. * feat: added number of samples. * feat: added output. * feat: added titles to plots. * feat: added title to plots. * feat: added the analysis of the pyfeat classifier. * refactor: adapt to kaggle * ran pyfeat detector --------- Co-authored-by: LasseFrm <64502978+LasseFrm@users.noreply.github.com> Co-authored-by: Jurek Sander <44340639+sanderjk5@users.noreply.github.com> * 58 data mining (#69) * updated model training and added kaggle set kaggle set has more than 5000 images but not every face from each image could be detected * feat: trained and evaluated different models. * feat: added models. * feat: added number of samples. * feat: added output. * feat: added titles to plots. * feat: added title to plots. * feat: added the analysis of the pyfeat classifier. * refactor: adapt to kaggle * feat: added and fixed classification reports. --------- Co-authored-by: LasseFrm <64502978+LasseFrm@users.noreply.github.com> * feat: replaced our model with built-in pyfeat classifier. (#70) * refactor openai name extraction * WIP drink recommendation process * finished drink recommendation drink recommendation works now and the user can also deny a cocktail and be recommended another one * feat: separated feedback loop. * feat: add more texts. * fixed some bugs and added log filter * Update drinks_with_categories_and_ranks.csv updated drinks list to include strong strong was labeld as other before * Update drink_recommendation.py * added search state Co-authored-by: Jurek Sander <sanderjk5@users.noreply.github.com> * finishing up --------- Co-authored-by: LasseFrm <64502978+LasseFrm@users.noreply.github.com> Co-authored-by: Jurek Sander <44340639+sanderjk5@users.noreply.github.com> Co-authored-by: Jurek Sander <sanderjk5@users.noreply.github.com>
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closes #58