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Installation

  • Installation
    • PiPy
    • From Source

Examples

  • Data Preparation for Training
    • Different Data Relationships
      • 1. Loading the Data
      • 2. Inspecting the Data
      • 3. Simulating a Many-to-Many Relationship
      • 4. Understanding the Matching Issue
      • 5. Correcting the Relationships
      • 6. Verifying the Adjustments
    • Formatting
      • 1. A customized similarity_map
      • 2. Harmonizing the data
    • Re-Structuring
    • Splitting data
  • Saving a Model
    • Prepare the Data
    • Train the Model
    • Export the Model
    • Export Performance Statistics
  • Loading a Model
    • Load Data & Model
    • Harmonize Format
    • Make Suggestions
  • Creating a Common Identifier (ID)
    • Between Two Sources
      • 1. Load Data & Model
      • 2. Harmonize Format
      • 3. Generate a Common ID
    • Repeated Cross-Sections (Panel ID)

Documentation

  • Base
  • Model
    • Model
      • Model.load()
      • Model.save()
  • Panel
    • GenerateID
      • GenerateID.__init__()
      • GenerateID.assign_ids()
      • GenerateID.execute()
      • GenerateID.generate_suggestions()
      • GenerateID.group_by_subgroups()
      • GenerateID.harmonize_ids()
      • GenerateID.relations_left_right()
    • SetupData
      • SetupData.matches
      • SetupData.__init__()
      • SetupData.adjust_overlap()
      • SetupData.create_connected_groups()
      • SetupData.data_preparation_panel()
      • SetupData.drop_repetitions()
      • SetupData.panel_preparation()
  • Prepare
    • Prepare
      • Prepare.format()
    • similarity_map_to_dict()
  • Split
    • SplitError
    • split_test_train()
  • Training
    • Training
      • Training.evaluate_dataframe()
      • Training.matches_reorder()
      • Training.performance_statistics_export()
    • focal_loss()

License

  • License
Neer Match Utilities
  • Search

© Copyright 2025, Pantelis Karapanagiotis, Marius Liebald.

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