Python Packages forML Compliance Logging

# 1. Install
pip install haiec-isaf-logger

# 2. Initialize (one line)
import isaf
isaf.init()

# 3. Add decorators to your training functions
@isaf.log_data(source="customer_data", version="3.2.1")
def load_training_data():
    return pd.read_csv("data.csv")

@isaf.log_objective(
    name="binary_crossentropy",
    constraints=["fairness < 0.05"]
)
def train_model(data):
    model = create_model()
    model.fit(data)
    return model

# 4. Run training as normal
data = load_training_data()
model = train_model(data)

# 5. Export compliance report (one line)
isaf.export("compliance_report.json")