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  • API User Guide
    • Limitations
    • Programming Framework
      • Core Structures
      • Supporting Elements
    • Transformations
      • Preprocessing: Resize
      • Aggregation: Sum
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      • Aggregation: Quantile
    • Measurements
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      • Thresholded Noise Mechanisms
      • Canonical Noise Mechanism
      • Report Noisy Max Mechanisms
      • Randomized Response
    • Combinators
      • Chaining
      • (Non-Adaptive) Composition
      • Adaptive Composition
      • Fully Adaptive Composition and Odometers
      • Privacy Filters
      • Compositor Chaining and Nesting
      • Measure Casting
      • Amplification
    • Utilities
      • Typing
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    • Polars
      • Polars vs. OpenDP
      • Gaussian Noise
      • Identifier Truncation and Bounds
      • Data Types
      • Expressions
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        • Temporal
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      • Measurement example
      • Transformation example
      • Context API Plugins
      • Thiel-Sen Regression
      • Privately Selecting Grouping Columns
  • Python API Reference
    • opendp package
      • opendp.extras package
        • opendp.extras.examples package
        • opendp.extras.mbi package
        • opendp.extras.numpy package
        • opendp.extras.polars package
        • opendp.extras.sklearn package
      • opendp.accuracy module
      • opendp.combinators module
      • opendp.context module
      • opendp.core module
      • opendp.domains module
      • opendp.measurements module
      • opendp.measures module
      • opendp.metrics module
      • opendp.mod module
      • opendp.prelude module
      • opendp.transformations module
      • opendp.typing module
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  • v0.14.1
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  • API
  • opendp package
  • opendp.extra...
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opendp.extras package#

Subpackages#

  • opendp.extras.examples package
    • Module contents
      • get_california_pums_path()
      • get_france_lfs_path()
  • opendp.extras.mbi package
    • Module contents
      • AIM
      • Algorithm
      • ContingencyTable
      • Count
      • Fixed
      • MST
      • Sequential
      • make_contingency_table()
      • mirror_descent()
  • opendp.extras.numpy package
    • Submodules
      • opendp.extras.numpy.canonical module
    • Module contents
      • NPArray2Domain
      • NPArrayDDomain
      • array2_domain()
      • arrayd_domain()
  • opendp.extras.polars package
    • Submodules
      • opendp.extras.polars.contingency_table module
    • Module contents
      • Bound
      • DPExpr
      • LazyFrameQuery
      • LazyGroupByQuery
      • Margin
      • OnceFrame
      • SortBy
      • dp_len()
  • opendp.extras.sklearn package
    • Subpackages
      • opendp.extras.sklearn.decomposition package
      • opendp.extras.sklearn.linear_model package
    • Module contents

Module contents#

The extras module contains pure-python DP tools. These are not yet supported by the Rust or R bindings. Some tools require extra, optional Python dependencies, and are grouped under corresponding namespaces.

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