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Section Navigation

  • Jupyter Notebooks
  • Annoy
    • annoy.Annoy legacy c-api with examples
    • annoy.Index python-api with examples
    • Index (cython) python-api benchmark with examples
    • Index (cython) python-api with examples
    • Approximate Nearest Neighbors with Annoy — A Hamlet Example
    • annoy.Index to NPY or CSV with examples
    • Mmap annoy.AnnoyIndex with examples
    • Precision annoy.AnnoyIndex with examples
    • Simple annoy.AnnoyIndex with examples
    • Compile and run the C++ Annoy with examples
  • Array API support
  • Calibration
    • plot_calibration with examples
  • Classification
    • plot_classifier_eval with examples
    • plot_confusion_matrix with examples
    • plot_feature_importances with examples
    • plot_learning_curve with examples
    • plot_precision_recall with examples
    • plot_roc_curve with examples
  • Cleanprompt
    • Cleanprompt Advanced: Invariants, Encryption, and the Lossy Model Hop
    • Cleanprompt Basics: Hide a Value, Then Get It Back
    • Cleanprompt on the Command Line: Single Commands and Edge Cases
    • Cleanprompt as a Gate: Any Model, Any Agent, Nothing Private Leaves
    • Cleanprompt Moderate: Policies, Entities, and the Vault’s Lifecycle
    • Cleanprompt for Notebooks: Sending an Analysis Without Sending the Data
    • Cleanprompt Packs and Formats: Records, Configs and Whole Folders
    • Cleanprompt from Python: Single Calls and Edge Cases
    • Cleanprompt Recipes: CI Gates, Notebooks, Pipelines and Agents
  • Clustering
    • plot_elbow with examples
    • plot_silhouette with examples
  • Corpus
    • Process an MP3 with Corpus
    • Customize Corpus backends and readiness policies
    • Configure Corpus with FluentCorpus
    • Build and Search a Real Hamlet Corpus with FluentCorpus
    • Build and Search a Real Hamlet Corpus with FluentCorpus
    • Build and Search a Real Hamlet Corpus with FluentCorpus
    • Compare Corpus Chunking Strategies on OCR Text
    • Use Levenshtein distance with Corpus retrieval
    • Compose Corpus policies without hiding boundaries
    • Build a Multi-Source WHO Corpus
    • Process a YouTube Transcript with Corpus
    • Process a Mixed-Media ZIP Archive with Corpus
  • Cython
    • Cython quickstart: compile_and_load
    • Browse and compile templates
    • Build profiles: fast-debug, release, annotate
    • Cache and restart reuse
    • Pin/Alias: stable handles for cached builds
    • Multi-module package builds (5 package examples)
    • Multi-file builds: .pxi includes and external headers
    • C++ mode basics: cppclass and libcpp containers
    • Vector ops without NumPy: array(‘d’) + memoryviews
    • Workflow templates (train / hpo / predict) + CLI entry template
    • Cython: Realtime compile_and_load (.pyx)
  • Decile
    • plot_cumulative_gain with examples
    • plot_ks_statistic with examples
    • plot_lift with examples
    • Introduction to modelplotpy (legacy)
    • Introduction to modelplotpy
    • plot_report with examples
  • Decomposition
    • plot_pca_2d_projection with examples
    • plot_pca_component_variance with examples
  • Feature Selection
    • Profile, route, trace and monitor wide tables
  • Impute
    • annoy impute with examples
  • Levenshtein
    • Backend discovery and safe fallback
    • Levenshtein basics
    • Use Levenshtein with Corpus
    • Rank fuzzy matches
    • Sequences and explicit normalization
  • Mcp
    • Serve a Real Hamlet Corpus over MCP with Annoy
  • MemMap
    • Memory-Mapping Showcase – Basic / Medium / Advanced
  • Misc
    • Misc Showcase
  • MLflow
    • MLflow
  • Nc (NumCpp)
    • nc with examples
  • Preprocessing
    • Comparing DummyCode Encoder with Other Encoders
  • Random
    • Enhanced KISS Random Generator - Complete Usage Examples
  • Rank-BM25
    • Persist and Reload a Rank-BM25 Index
    • Rank-BM25 Quick Start with Stable Document IDs
    • Compare the Three Rank-BM25 Scoring Recipes
    • Sparse Retrieval and Dense BM25 Diagnostics
  • Regression
    • plot_residuals_distribution with examples
  • Seaborn
    • plot_aucplot_script with examples
    • plot_decileplot_script with examples
    • plot_evalplot_script with examples
  • Stats
    • Gaussian Mixture Models — AIC, AICc, and BIC Model Selection
    • plot_residuals_distribution with examples
  • Visualkeras
    • Visualkeras: Spam Classification Conv1D Dense Example
    • visualkeras: Spam Dense example
    • visualkeras: autoencoder example
    • visualkeras: custom vgg16 example
    • visualkeras: custom vgg16 show dimension example
    • visualkeras: EfficientNetV2 example
    • visualkeras: ResNetV2 example
    • visualkeras: custom VGG example
    • visualkeras: Vector Index DB
  • Examples
  • Feature Selection

Feature Selection#

Feature profiling, lineage and drift#

Examples related to the feature_selection submodule with e.g., profile_features, trace_pipeline and ReferenceProfile.

Profile, route, trace and monitor wide tables

Profile, route, trace and monitor wide tables

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plot_pca_component_variance with examples

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Profile, route, trace and monitor wide tables

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