model_specifications.toml

# You can add the values and weights of your parameters here and run calculate_ID.py to retrieve your ID value

[IntelligenceComponents]
performance = { value = 0.9, weight = 0.4 }
generalization = { value = 0.8, weight = 0.3 }
learning_efficiency = { value = 0.7, weight = 0.2 }
interpretability = { value = 0.6, weight = 0.1 }
robustness = { value = 0.75, weight = 0.2 }
transfer_learning_capability = { value = 0.85, weight = 0.15 }
creativity_problem_solving = { value = 0.7, weight = 0.2 }

[ResourceComponents]
model_size = { value = 0.5, weight = 0.5 }
computational_complexity = { value = 0.6, weight = 0.3 }
energy_consumption = { value = 0.7, weight = 0.2 }
inference_time = { value = 0.4, weight = 0.1 }
hardware_utilization = { value = 0.65, weight = 0.15 }
development_time = { value = 0.8, weight = 0.1 }