Step 1: Install the aibro Python library To install aibro, run the following command in your terminal: pip install aibro Step 2: Prepare the Model Repository The model repository will be formatted in the following structure. (a) model folderThis folder will contain the model you have created...
# import packagesimportstreamlitasstimportosimportnumpyasnpfromsklearn.feature_extraction.textimportTfidfVectorizer, CountVectorizer# text preprocessing modulesfromstringimportpunctuation# text preprocessing modulesfromnltk.tokenizeimportword_tokenizeimportnltkfromnltk.corpusimportstopwordsfromnltk.stemimportWordNetLemmat...
There is an encoder to score words based on their count called CountVectorizer, one for using a hash function of each word to reduce the vector length called HashingVectorizer, and a one that uses a score based on word occurrence in the document and the inverse occurrence across all documents...
# import packagesimportstreamlitasstimportosimportnumpyasnpfromsklearn.feature_extraction.textimportTfidfVectorizer, CountVectorizer# text preprocessing modulesfromstringimportpunctuation# text preprocessing modulesfromnltk.tokenizeimportword_tokenizeimportnltkfromnltk.corpusimportstopwordsfromnltk.stemimportWordN...