ML_skyportal

• kowalski.py: Loads the Kowalski dataset.

• processor/:

  • photometry_processor.py: Preprocesses photometry data.
  • alert_processor.py: Handles alerts, including images and metadata.
  • data_processor.py: General data preprocessing tasks.

• supernova_dataset.py: Aggregates functions from processors for comprehensive data preparation.

• data_generator.py: Inherits from Keras, manages data during model training.

• Data Loading and Preprocessing:

  • Use kowalski.py to load data.
  • Utilize processor classes for specific preprocessing needs.
  • supernova_dataset.py combines all preprocessing steps.

• Data Generation for Training:

  • data_generator.py provides batch data generation for Keras training.

• Detailed Function Usage:

  • Refer to the Show_data notebook for detailed instructions on each function, from loading data to training a model.