Building Aesara graphs

Reference

• Tensors
• Random variables
  • Using Random Numbers
    • Brief Example
    • Seeding Streams
    • Sharing Streams Between Functions
    • Copying Random State Between Aesara Graphs
    • A Real Example: Logistic Regression
  • Guide
  • Quick start
  • Distributions
    • aesara.tensor.random.bernoulli
      • bernoulli
    • aesara.tensor.random.beta
      • beta
    • aesara.tensor.random.betabinom
      • betabinom
    • aesara.tensor.random.binomial
      • binomial
    • aesara.tensor.random.categorical
      • categorical
    • aesara.tensor.random.cauchy
      • cauchy
    • aesara.tensor.random.chisquare
      • chisquare
    • aesara.tensor.random.choice
      • choice
    • aesara.tensor.random.dirichlet
      • dirichlet
    • aesara.tensor.random.exponential
      • exponential
    • aesara.tensor.random.gengamma
      • gengamma
    • aesara.tensor.random.geometric
      • geometric
    • aesara.tensor.random.gamma
      • gamma
    • aesara.tensor.random.gumbel
      • gumbel
    • aesara.tensor.random.halfcauchy
      • halfcauchy
    • aesara.tensor.random.halfnormal
      • halfnormal
    • aesara.tensor.random.hypergeometric
      • hypergeometric
    • aesara.tensor.random.laplace
      • laplace
    • aesara.tensor.random.logistic
      • logistic
    • aesara.tensor.random.lognormal
      • lognormal
    • aesara.tensor.random.integers
      • integers
    • aesara.tensor.random.invgamma
      • invgamma
    • aesara.tensor.random.multinomial
      • multinomial
    • aesara.tensor.random.multivariate_normal
      • multivariate_normal
    • aesara.tensor.random.negative_binomial
      • negative_binomial
    • aesara.tensor.random.nbinom
      • nbinom
    • aesara.tensor.random.normal
      • normal
    • aesara.tensor.random.permutation
      • permutation
    • aesara.tensor.random.pareto
      • pareto
    • aesara.tensor.random.poisson
      • poisson
    • aesara.tensor.random.random
      • random
    • aesara.tensor.random.rayleigh
      • rayleigh
    • aesara.tensor.random.standard_normal
      • standard_normal
    • aesara.tensor.random.t
      • t
    • aesara.tensor.random.triangular
      • triangular
    • aesara.tensor.random.truncexpon
      • truncexpon
    • aesara.tensor.random.uniform
      • uniform
    • aesara.tensor.random.vonmises
      • vonmises
    • aesara.tensor.random.wald
      • wald
    • aesara.tensor.random.weibull
      • weibull
  • Reference
    • RandomStream
      • RandomStream.updates()
      • RandomStream.seed()
      • RandomStream.gen()
    • RandomStateType
    • random_state_type()
    • RandomVariable
• Loops
  • aesara.scan
  • Other ways to create loops
    • map()
    • reduce()
    • foldl()
    • foldr()
    • Guide
      • Simple loop with accumulation: Computing
      • Iterating over the first dimension of a tensor: Calculating a polynomial
      • Simple accumulation into a scalar, ditching lambda
      • Another simple example
      • Using shared variables - Gibbs sampling
      • Using shared variables - the strict flag
      • Multiple outputs, several taps values - Recurrent Neural Network with Scan
      • Conditional ending of Scan
      • Reducing Scan’s memory usage
      • Improving Scan’s performance
        • Minimizing Scan usage
        • Explicitly passing inputs of the inner function to scan
        • Deactivating garbage collecting in Scan
        • Graph Rewrites
    • Tutorial
      • Scan
    • Scan internals
      • Context
      • Pre-requisites
      • Relevant code files
      • Notation
      • Scan variables
      • Rewrites
        • remove_constants_and_unused_inputs_scan
        • PushOutNonSeqScan
        • PushOutSeqScan
        • PushOutScanOutput
        • PushOutDot1
        • ScanInplaceOptimizer
        • ScanSaveMem
        • ScanMerge
        • scan_merge_inouts
      • Helper classes and functions
        • Accessing/manipulating Scan’s inputs and outputs by type
        • Navigating between outer inputs/outputs and inner inputs/outputs
• Gradients
  • grad()
• Conditionals
  • IfElse vs Switch