Smart Earth/Sky Monitor
- 3 Devlogs
- 4 Total hours
This is a smart earth and sky monitor which pulls live earthquake data and visualizes it and then tells us predictions for the next earthquake, and if any earthquake is an anomaly.
Today I spent a lot of time reorganizing things. I took my anomaly_detection.py file, and removed it from the scheduler. This was because the scheduler.py file ran this and the ml_models.py time every hour on the hour. So instead I added the anomaly_detection.py file to the ml_models.py, so now it runs that, and then the scheduler runs the models file, which then runs the anomaly detection file, so its all in one complete loop:
every hour: scheduler -> ml models -> anomaly detection
Because of this change I was able to add the anomaly detection (Isolation Forest algorithm) as a feature for all the models I was training: the random forest alg, neural network, and linear regression model.
Wow well today was a lot of work. Today I added some more models to my ml_models.py file, but more importantly I changed the logs on it. Then I serialized the models to the disk. After that I redid the QuickChecks.R file because I realized I was struggling to be able to view each dataset to see what data I was collecting and how I was doing. Then I saved the model performance metrics and was able to view them. A lot of busy work today.
Today I worked on adding a Random Forest Classifier to my list of prediction models being run by this python script to test if I can predict if a earthquake will be over or under 5.0 magnitude.
