зеркало из https://github.com/Azure/QnA_Matching.git
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| pic | ||
| Part_1_TextPrep_LearnPhrases_SaveData.ipynb | ||
| Part_2_TFIDF_Cosine_Similarity_Experiment_1.ipynb | ||
| Part_3_TFIDF_Cosine_Similarity_Experiment_2.ipynb | ||
| Part_4_Naive_Bayes_Classifier.ipynb | ||
| Part_5_Calibrated_SVM_Classifier.ipynb | ||
| README.txt | ||
README.txt
This repository stores 5 Azure Notebooks that demonstrates the various data science processes of a Document (QnA) Matching scenario. Part 1: performs the text processing and phrases learning. The outputs are stored in Azure Blob Storage. Part 2-5: implements 4 different machine learning models and can be run seperately after completing Part 1. Please feel free to contact Katherine Zhao (mez@microsoft.com) and T.J. Hazen (TJ.Hazen@microsoft.com) with any question or comment.