Examples Reference
This page provides a complete reference for all cargo run --example commands available in Aprender.
Quick Reference
| Example | Description | Category |
|---|---|---|
linear_regression | Basic linear regression | Supervised |
logistic_regression | Binary classification | Supervised |
decision_tree_iris | Decision tree classifier | Supervised |
random_forest_iris | Random forest classifier | Supervised |
gbm_iris | Gradient boosting classifier | Supervised |
naive_bayes_iris | Naive Bayes classifier | Supervised |
knn_iris | K-nearest neighbors | Supervised |
svm_iris | Support vector machine | Supervised |
kmeans_clustering | K-means unsupervised | Unsupervised |
pca_iris | Dimensionality reduction | Unsupervised |
time_series_forecasting | ARIMA forecasting | Time Series |
text_preprocessing | NLP text processing | NLP |
qwen_inference | LLM inference | Deep Learning |
Running Examples
Basic Usage
# Run with default settings
cargo run --example <name>
# Run in release mode (10-20x faster)
cargo run --example <name> --release
# With feature flags
cargo run --example <name> --features inference
# With arguments
cargo run --example <name> -- arg1 arg2
Supervised Learning
Linear Regression
cargo run --example linear_regression --release
cargo run --example regularized_regression --release
cargo run --example boston_housing --release
Classification
cargo run --example logistic_regression --release
cargo run --example decision_tree_iris --release
cargo run --example random_forest_iris --release
cargo run --example gbm_iris --release
cargo run --example naive_bayes_iris --release
cargo run --example knn_iris --release
cargo run --example svm_iris --release
Bayesian Inference
cargo run --example bayesian_linear_regression --release
cargo run --example bayesian_logistic_regression --release
cargo run --example beta_binomial_inference --release
cargo run --example gamma_poisson_inference --release
cargo run --example dirichlet_multinomial_inference --release
cargo run --example normal_inverse_gamma_inference --release
Generalized Linear Models
cargo run --example negative_binomial_glm --release
Unsupervised Learning
Clustering
cargo run --example iris_clustering --release
cargo run --example dbscan_clustering --release
cargo run --example hierarchical_clustering --release
cargo run --example gmm_clustering --release
cargo run --example spectral_clustering --release
Dimensionality Reduction
cargo run --example pca_iris --release
cargo run --example tsne_visualization --release
Anomaly Detection
cargo run --example isolation_forest_anomaly --release
cargo run --example lof_anomaly --release
Deep Learning
Neural Networks
cargo run --example xor_training --release
cargo run --example neural_network_training --release
cargo run --example classification_training --release
LLM Inference
# Qwen model inference (requires model file)
cargo run --example qwen_inference --release --features inference
# Whisper transcription
cargo run --example whisper_transcribe --release --features inference
# HuggingFace model import
cargo run --example phi_hf_import --release
Time Series
cargo run --example time_series_forecasting --release
NLP / Text Processing
cargo run --example text_preprocessing --release
cargo run --example text_classification --release
cargo run --example nlp_advanced --release
cargo run --example topic_sentiment_analysis --release
Graph Algorithms
cargo run --example graph_algorithms_comprehensive --release
cargo run --example graph_social_network --release
cargo run --example community_detection --release
Optimization
Gradient-Based
cargo run --example optimizer_demo --release
cargo run --example batch_optimization --release
cargo run --example convex_optimization --release
cargo run --example constrained_optimization --release
cargo run --example admm_optimization --release
Metaheuristics
cargo run --example metaheuristics_optimization --release
cargo run --example aco_tsp --release
cargo run --example tabu_tsp --release
cargo run --example predator_prey_optimization --release
Model Operations
APR Format
cargo run --example apr_loading_modes --release
cargo run --example apr_inspection --release
cargo run --example apr_scoring --release
cargo run --example apr_cache --release
cargo run --example apr_embed --release
cargo run --example apr_with_metadata --release
cargo run --example apr_cli_commands --release
cargo run --example create_test_apr --release
Model Serialization
cargo run --example model_serialization --release
cargo run --example shell_model_format --release
cargo run --example shell_encryption_demo --release
Data Processing
cargo run --example dataframe_basics --release
cargo run --example data_preprocessing_scalers --release
cargo run --example synthetic_data_generation --release
cargo run --example descriptive_statistics --release
cargo run --example bayesian_blocks_histogram --release
Recommendations
cargo run --example recommend_content --release
Pattern Mining
cargo run --example market_basket_apriori --release
AutoML
cargo run --example automl_clustering --release
cargo run --example grid_search_tuning --release
cargo run --example cross_validation --release
GPU / CUDA
cargo run --example cuda_backend --release
cargo run --example trueno_compute_integration --release
Model Zoo
cargo run --example model_zoo --release
Sovereign AI Stack
cargo run --example sovereign_stack --release
cargo run --example sovereign_offline --release
Pipeline & Validation
cargo run --example pipeline_verification --release
cargo run --example poka_yoke_validation --release
Advanced
Mixture of Experts
cargo run --example mixture_of_experts --release
Online Learning
cargo run --example online_learning --release
Code Analysis
cargo run --example code_analysis --release
Logic Programming
cargo run --example logic_family_tree --release
See Also
- Case Studies - Detailed walkthroughs
- APR CLI Tool - Command-line interface
- APR Format Specification - Model format details