Feature/space mission planning #299
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added 8 commits
June 22, 2025 00:40
- Implement Model-Agnostic Meta-Learning (MAML) classifier - Add Prototypical Networks for few-shot learning - Create domain adaptation utilities with fine-tuning and MAML methods - Add transfer learning capabilities with feature extraction and fine-tuning - Include utility functions for creating and evaluating few-shot tasks - Add CLI commands: few-shot-learn, domain-adapt, transfer-learn - Update models_dict to include few-shot learning algorithms - Add few_shot_learning as supported model type - Create comprehensive documentation and examples - Add complete test suite for all few-shot learning components - Update README with new features and model table This addresses GitHub issue nidhaloff#237 'Add Support for Few-Shot Learning'
HeerakKashyap
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Sep 17, 2025
- Add ModelInterpreter class with feature importance and partial dependence - Implement prediction explanation and comprehensive model reports - Include quick functions for model interpretation and feature importance - Add demo script showcasing interpretability capabilities - Update package imports to include model interpretability modules - Addresses GitHub issue nidhaloff#299 - Add Model Interpretability Tools
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This PR introduces a new module for Space Mission Planning, addressing Issue #259.
Key Features
Trajectory optimization with fuel efficiency and travel time calculations
Resource allocation for mission goals and available resources
Mission simulation with success probability and risk assessment
CLI command for space mission planning operations
Added igel/igel/space_mission.py with three core functions:
optimize_trajectory() - Calculates optimal spacecraft path with efficiency metrics
allocate_resources() - Distributes resources across mission objectives
simulate_mission() - Runs mission simulation with risk assessment
Added space-mission CLI command in igel/igel/main.py
Supports JSON configuration files for mission parameters
Outputs results as JSON files for further analysis
Closes #259