hot_spot_classifier

Classification test of GEE data out put for detecting change hot spots

requirements

• pycaret 1.0
• rasterio
• pandas

This project uses pycaret to train and infer machine learning models for geospatial data.

It contains of 2 stages

1. data training including:

• best model selection
• model tuning
• model saving (pickle)

2. model inference including:

• model loading (pickle)
• input data loading (GeoTiff)
• model inference
• output data saving (class prediction + class probabilities)