Welcome to relAI’s documentation!

relAI is a Python library for cooks and food lovers that creates recipes mixing random ingredients. It pulls data from the Open Food Facts database and offers a simple and intuitive API.

Check out the Welcome to RelAI’s documentation! section for further information, including how to installation the project.

Note

This project is under active development.

Contents

• Welcome to RelAI’s documentation!
  • Contents
    • API Documentation
      • Classes
        • CosineActivation
          • CosineActivation.forward()
        • AE
          • AE.build_decoder()
          • AE.build_encoder()
          • AE.forward()
        • ReliabilityDetector
          • ReliabilityDetector.compute_density_reliability()
          • ReliabilityDetector.compute_localfit_reliability()
          • ReliabilityDetector.compute_total_reliability()
        • DensityPrincipleDetector
          • DensityPrincipleDetector.compute_reliability()
      • Functions
        • compute_dataset_avg_mse()
        • compute_dataset_reliability()
        • create_and_train_autoencoder()
        • create_autoencoder()
        • create_reliability_detector()
        • density_predictor()
        • generate_synthetic_points()
        • mse_threshold_barplot()
        • mse_threshold_plot()
        • perc_mse_threshold()
        • train_autoencoder()
• API Documentation
  • Classes
    • CosineActivation
      • CosineActivation.forward()
    • AE
      • AE.build_decoder()
      • AE.build_encoder()
      • AE.forward()
    • ReliabilityDetector
      • ReliabilityDetector.compute_density_reliability()
      • ReliabilityDetector.compute_localfit_reliability()
      • ReliabilityDetector.compute_total_reliability()
    • DensityPrincipleDetector
      • DensityPrincipleDetector.compute_reliability()
  • Functions
    • compute_dataset_avg_mse()
    • compute_dataset_reliability()
    • create_and_train_autoencoder()
    • create_autoencoder()
    • create_reliability_detector()
    • density_predictor()
    • generate_synthetic_points()
    • mse_threshold_barplot()
    • mse_threshold_plot()
    • perc_mse_threshold()
    • train_autoencoder()