May-23-2018, 09:03 AM
I have built a machine learning classifier model, I was able to create a FLASK api for single request/response prediction of classification model.
However I want to perform the predictions on a data in a .csv file instead of a single request and response.
Here are the steps followed till now,
1. Saving the current trained machine learning model using
2. Using SQLite databases for data storage
3. Developing a web application using the popular Flask web framework for request and response.
I was able to do this successfully. However I am not able to build the same for larger records in a csv file.
The complete code is attached to the link below, refer to app.py file for suggesting modification.
Code link
However I want to perform the predictions on a data in a .csv file instead of a single request and response.
Here are the steps followed till now,
1. Saving the current trained machine learning model using
2. Using SQLite databases for data storage
3. Developing a web application using the popular Flask web framework for request and response.
I was able to do this successfully. However I am not able to build the same for larger records in a csv file.
The complete code is attached to the link below, refer to app.py file for suggesting modification.
Code link