Tutorials

• Working with datasets subpackage
  • Using the DatasetsManager class
    • Step 1: Importing the DatasetsManager
    • Step 2: Creating an Instance of DatasetsManager
    • Step 3: Loading Datasets
    • Step 4: Ensuring Feature Consistency
    • Step 5: Retrieving Data
    • Step 6: Getting a Summary
    • Step 7: Saving and Resetting Datasets
    • Summary of Outputs
  • Using the MaskedDataset Class
    • Step 1: Importing Necessary Modules
    • Step 2: Loading Data with DatasetsManager
    • Step 3: Performing Operations on MaskedDataset
• Working with the Models Subpackage
  • Using the ModelFactory Class
    • Step 1: Importing Necessary Modules
    • Step 2: Creating an Instance of ModelFactory
    • Step 3: Discovering Supported Models
    • Step 4: Specifying and Creating a Model
    • Step 5: Loading a Model from a Serialized State
  • Using the Model Class
    • Step 1: Training the Model
    • Step 2: Predicting Using the Trained Model
    • Step 3: Evaluating the Model
    • Step 4: Retrieving Model Information
    • Step 5: Saving Model Information
• Working with the med3pa Subpackage
  • Running the MED3pa Experiment
    • Step 1: Setting up the Datasets
    • Step 2: Configuring the Model
    • Step 3: Running the med3pa Experiment
    • Step 4: Analyzing and Saving the Results
    • Step 5: Running experiments from pretrained models