When running FastAPI app, all the logs in console are from Uvicorn and they do not have timestamp and other useful information. As Uvicorn applies python logging module, we can override Uvicorn logging formatter by applying a new logging configuration.
Meanwhile, it's able to unify the your endpoints logging with the Uvicorn logging by configuring all of them in the config file log_conf.yaml.
Before overriding:
uvicorn main:app --reload
In this project I have attempted to create supervised learning models to assist in classifying certain employee data. The classes to predict are as follows:
I pre-processed the data by removing one outlier and producing new features in Excel as the data set was small at 1056 rows. Some categorical features were also converted to numeric values in Excel. For example, Gender was originally "M" or "F", which was converted to 0 and 1 respectively. I also removed employee number as it provides no value as a feature and could compromise privacy.
After doing some research, see References, I found that the scikit-learn library does not handle categorical (string) features correctly in Decision Trees using the above approach. When added, these features provided no increase in accuracy, so I removed them. For example; Department, some departments have a highe