Metadata-Version: 2.1
Name: nkia
Version: 0.2.0
Summary: This is a module to predict the products category using artificial inteligence.
Home-page: https://bitbucket.org/nksistemasdeinformacao/servicos-biodigital/src/master/
Author: NK Sistemas de Informacao em Saude
Author-email: ti@nkodontologia.com.br
License: Apache License 2.0
Download-URL: https://bitbucket.org/nksistemasdeinformacao/servicos-biodigital/src/master/
Description: # NK Artificial Intelligence
        
        Welcome to NKIA or NKAI in English. This project is used to categorize products based on its caracteristics, there is 29 different classes of food products.
        
        ## Requirements
        
        - Install requirements:
          - ```pip install -r requirements.txt --user```
        
        - Install NLTK stopwords:
          - ```python -m nltk.downloader stopwords```
        
        ## Usage
        
        - Import classify class:
            - ``` from nkia.ml.classify_products import classifyProducts as cp ``` 
        - Predict product class:
            - ```cp().inference_from_model(product_name=['frozen fish'])```
            - *Returns*: String containing the predicted class name
        - Parameters:
            - ``` inference_from_model(ingredients=[''], allergics=[''], description=[''], product_name=['']) ```
            - All the parameters must be in a single string format.
        
        ## Examples
        
        - ```cp().inference_from_model(['sugar salt vanilla orange'], allergics=['peanuts'], description=['this is an awesome product, hummmm'], product_name=['very delicious candy']) ```
        
        
Keywords: tensorflow,nlp,nk,python3,cnn,food-products
Platform: UNKNOWN
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python
Classifier: Topic :: Communications :: Email
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: dev
