Dims

Warning

This module is experimental and may contain critical breaks. API changes are expected in future releases.

This submodule contains functions for defining distributions and operations that use explicit dimensions.

The module is presented in PyMC dims module.

• Model constructors
  • pymc.dims.Data
    • Data()
  • pymc.dims.Deterministic
    • Deterministic()
  • pymc.dims.Potential
    • Potential()
• Mathematical operations with dimensions
• Distributions
  • Scalar distributions
    • pymc.dims.Flat
      • Flat
    • pymc.dims.HalfFlat
      • HalfFlat
    • pymc.dims.Normal
      • Normal
    • pymc.dims.HalfNormal
      • HalfNormal
    • pymc.dims.TruncatedNormal
      • TruncatedNormal
    • pymc.dims.LogNormal
      • LogNormal
    • pymc.dims.StudentT
      • StudentT
    • pymc.dims.HalfStudentT
      • HalfStudentT
    • pymc.dims.Cauchy
      • Cauchy
    • pymc.dims.HalfCauchy
      • HalfCauchy
    • pymc.dims.Beta
      • Beta
    • pymc.dims.Laplace
      • Laplace
    • pymc.dims.Gamma
      • Gamma
    • pymc.dims.InverseGamma
      • InverseGamma
    • pymc.dims.Weibull
      • Weibull
  • Vector distributions
    • pymc.dims.Categorical
      • Categorical
    • pymc.dims.MvNormal
      • MvNormal
    • pymc.dims.ZeroSumNormal
      • ZeroSumNormal
  • Higher-Order distributions
    • pymc.dims.Censored
      • Censored
• Distribution Transforms
  • pymc.dims.transforms.LogTransform
  • pymc.dims.transforms.LogOddsTransform
  • pymc.dims.transforms.ZeroSumTransform