Fast AI evaluator for scikit-learn models
Project description
AI Critic 🧠⚖️
AI Critic is a fast evaluator for scikit-learn models. It analyzes configuration, robustness, data quality and performance in minutes.
Install
pip install ai-critic
Quick Example
from sklearn.datasets import load_breast_cancer
from sklearn.ensemble import RandomForestClassifier
from ai_critic import AICritic
X, y = load_breast_cancer(return_X_y=True)
model = RandomForestClassifier(n_estimators=50, max_depth=3)
critic = AICritic(model, X, y)
report = critic.evaluate()
print(report)
What it evaluates
- Model configuration sanity
- Data consistency
- Robustness to noise
- Basic performance metrics
Philosophy
Fast, modular, and brutally honest AI evaluation.
📌 README simples = mais confiança
Development & Testing
To test the package locally as an end-user (mandatory for development):
In the root directory:
pip install -e .
python -c "from ai_critic import AICritic; print('OK')"
python -m pytest
Project details
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