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philip-ndikum/TemporalScope

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TemporalScope

philip-ndikum/TemporalScope

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Home
- About
- Getting Started
  Getting Started
  - Installation
  - Quick Start
- Development
  Development
  - Contributing
- Disclaimers
  Disclaimers
  - License & Legal
- Literature
  Literature
  - References
  - Cite
API reference
API reference
- temporalscope
  temporalscope
  - core
    
    core
    
    core_utils
    
    exceptions
    
    temporal_data_loader
  - datasets
    
    datasets
    
    dataset_validator
    
    datasets
    
    synthetic_data_generator
  - metrics
    
    metrics
    
    masv
  - modeling
    
    modeling
    
    temporal_model_trainer
  - partition
    
    partition
    
    base_protocol
    
    single_target
    
    single_target
    
    dynamic
    
    padding
    
    padding
    
    functional
    
    static
    
    static
    
    sliding_window
    
    utils
  - target_shifters
    
    target_shifters
    
    single_step
Tutorials
Tutorials
- Walkthroughs
  Walkthroughs
  - End to End
    End to End
    
    synthetic_health_monitoring_analysis
  - Introduction
    Introduction
    
    1_load_data_timeframe
    
    2_single_step_target_shifting
    
    3_xai_data_quality_checks
  - Narwhals
    Narwhals
    
    1_narwhals_ml_patterns
    
    2_narwhals_general_patterns
    
    3_narwhals_lazy_vs_eager
    
    4_narwhals_complex_functions
    
    5_narwhals_ai_data_validation
    
    6_narwhals_ai_time_series
    
    7_narwhals_converting_columns

Table of contents

metrics

metrics

MODULE	DESCRIPTION
`masv`	Mean Absolute SHAP (MASV) analysis for temporal feature importance.

synthetic_data_generator

Copyright © Philip Ndikum, Serge Ndikum, Kane Norman 2024-present

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