Development

Getting Started

1. Clone Repository

git clone https://github.com/credinvest/cred-model.git
cd cred-model

2. Set Up Environment

python -m venv venv
source venv/bin/activate  # Linux/Mac
# or
venv\Scripts\activate  # Windows

3. Install Dependencies

pip install -r requirements.txt

4. Configure Environment

cp .env.example .env
# Configure API keys and database connections

---

Training Pipeline

from cred_model import ModelTrainer

trainer = ModelTrainer(
    model_type="predictive_analytics",
    data_path="data/training_data.csv",
    config_path="config/model_config.yaml"
)

# Train model
model = trainer.train()

# Evaluate performance
metrics = trainer.evaluate(model)

# Save model
trainer.save_model(model, "models/predictive_model_v1.pkl")

---

Model Evaluation

Metric Type	Examples
Accuracy Metrics	Precision, recall, F1-score
Performance Metrics	Inference time, memory usage
Business Metrics	ROI, user satisfaction, error rates
A/B Testing	Compare model versions in production