Posts Tagged ‘OpenData’
[DevoxxFR2014] Apply to dataset
features = full_dataset.apply(advanced_feature_extraction, axis=1)
enhanced_dataset = pd.concat([full_dataset, features], axis=1)
To verify feature efficacy, correlation matrices and PCA are employed, confirming strong discriminatory power.
## Model Selection, Implementation, and Optimization
The binary classification problem—human versus random—lends itself to supervised learning algorithms. Christophe Bourguignat systematically evaluates candidates from linear models to ensembles.
Support Vector Machines provide a strong baseline due to their effectiveness in high-dimensional spaces:
from sklearn.svm import SVC
from sklearn.model_selection import cross_val_score
svm_model = SVC(kernel=’rbf’, C=10.0, gamma=0.1, probability=True, random_state=42)
cross_val_scores = cross_val_score(svm_model, X_train, y_train, cv=5, scoring=’roc_auc’)
print(“SVM Cross-Validation AUC Mean:”, cross_val_scores.mean())
svm_model.fit(X_train, y_train)
svm_preds = svm_model.predict(X_test)
print(classification_report(y_test, svm_preds))
Random Forests offer interpretability through feature importance:
rf_model = RandomForestClassifier(n_estimators=500, max_depth=15, random_state=42)
rf_model.fit(X_train, y_train)
rf_importances = pd.DataFrame({
‘feature’: X.columns,
‘importance’: rf_model.feature_importances_
}).sort_values(‘importance’, ascending=False)
print(“Top Features:\n”, rf_importances.head(5))
Gradient Boosting (XGBoost) for superior performance:
from xgboost import XGBClassifier
xgb_model = XGBClassifier(n_estimators=300, learning_rate=0.05, max_depth=8, random_state=42)
xgb_model.fit(X_train, y_train)
xgb_preds = xgb_model.predict(X_test)
print(“XGBoost Accuracy:”, (xgb_preds == y_test).mean())
Optimization uses Bayesian methods via scikit-optimize for efficiency.
## Evaluation and Interpretation
Comprehensive evaluation includes ROC curves, precision-recall plots, and calibration:
from sklearn.metrics import roc_curve, precision_recall_curve
fpr, tpr, _ = roc_curve(y_test, rf_model.predict_proba(X_test)[:,1])
plt.plot(fpr, tpr)
plt.title(‘ROC Curve’)
plt.show()
SHAP values interpret predictions:
import shap
explainer = shap.TreeExplainer(rf_model)
shap_values = explainer.shap_values(X_test)
shap.summary_plot(shap_values, X_test)
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Practical Deployment for Geek Use Cases
The model deploys as a Flask API for generating verified random combinations.
Conclusion: Democratizing ML for Everyday Insights
This extended demonstration shows how Python and open data enable geeks to build meaningful ML applications, revealing human biases while providing practical tools.
Links:
[DevoxxBE2012] The Advantage of Using REST APIs in Portal Platforms to Extend the Reach of the Portal
Rinaldo Bonazzo, a seasoned IT professional with extensive experience in project management and technology evangelism for Entando, highlighted the strategic benefits of integrating REST APIs into portal platforms during his presentation. Rinaldo, who has led initiatives in sectors like animal health and European community projects, emphasized how Entando, an open-source Java-based portal, leverages REST to facilitate seamless data exchange across diverse systems and devices.
He began by outlining Entando’s capabilities as a comprehensive web content management system and framework, enabling developers to build vertical applications efficiently. Rinaldo explained the decision to adopt JSR-311 (now part of Java EE 6) for RESTful services, which allows Entando to connect with external clients effortlessly. This approach minimizes development effort, as REST standardizes interactions using lightweight protocols like JSON or XML, making integration with web clients, smartphones, and tablets straightforward.
In a practical demonstration, Rinaldo showcased creating a service to publish open data across multiple devices. He illustrated how REST APIs provide a base URI for accessing resources, such as content, images, or entities, without the overhead of more complex protocols. This not only accelerates development but also ensures that portals can reach beyond traditional boundaries, fostering broader adoption within organizations.
Rinaldo stressed the importance of REST in modern architectures, where portals must interact with sensors, mobile apps, third-party services like BI tools or CRM systems, and even legacy applications. By collecting data from various sources—such as IoT devices in smart cities or user inputs from mobile forms—Entando exposes this information uniformly, supporting web browsers, extranets, and accessibility features for users with disabilities.
He shared real-world examples from Entando’s deployments, including portals for the Italian Civil Defense Department and the Ministry of Justice. These implementations prioritize accessibility, ensuring compliance with standards that allow visually impaired users to access content. Rinaldo pointed to the municipality of Cerea’s open data initiative, where REST APIs enable developers to retrieve resources like georeferenced data or submit requests via mobile apps, demonstrating practical extensions of portal functionality.
Furthermore, Rinaldo discussed security aspects, noting Entando’s use of OAuth for authorization, which secures API access with tokens. This ensures safe data exchange while maintaining openness.
Overall, Rinaldo’s insights underscored how REST APIs transform portals from isolated systems into interconnected hubs, enhancing reach and utility. By adhering to established standards, developers can innovate rapidly, integrating portals with emerging technologies and meeting diverse user needs effectively.
Extending Portal Functionality Through Integration
Rinaldo elaborated on the architectural advantages, where REST enables portals to act as central data aggregators. For instance, in smart city applications, APIs collect sensor data for traffic management, which portals then process and disseminate. Similarly, mobile integrations allow direct content insertion, as seen in Maxability’s iPhone app for Entando, where users submit georeferenced photos that portals geolocate and manage.
He highlighted government successes in Italy, where Entando’s portals support critical operations while ensuring inclusivity. Features like API documentation pages, as in Cerea’s developer portal, provide clear guidance on endpoints, methods, and parameters, lowering barriers for external developers.
Rinaldo concluded by inviting engagement with Entando’s community, reinforcing that REST not only extends reach but also promotes collaborative ecosystems. His presentation illustrated a shift towards open, extensible platforms that adapt to evolving digital landscapes.