Logo image Logo image
  • Home
  • Examples
  • Learn
  • API
  • Community
  • Contributing

Categories

Tutorial
How-to
Explanation
Reference

Tags

  • ABC
  • Aesara
  • BART
  • Bayes Factors
  • Bayesian additive regression trees
  • CO2
  • JAX
  • SMC
  • Simpson's paradox
  • bayesian workflow
  • binned data
  • binomial regression
  • case study
  • causal inference
  • censored
  • censoring
  • classification
  • counterfactuals
  • cross validation
  • diagnostics
  • external likelihood
  • factor analysis
  • gaussian process
  • generalized linear model
  • generalized linear models
  • hidden markov model
  • hierarchical
  • hierarchical model
  • hypothesis testing
  • linear model
  • loo
  • matrix factorization
  • mediation
  • minibatch
  • mixture model
  • model comparison
  • model expansion
  • moderation
  • multi level model
  • negative binomial regression
  • neural networks
  • non-parametric
  • parameter estimation
  • path analysis
  • patsy
  • pca
  • perceptron
  • posterior predictive
  • predictions
  • product recommendation
  • prophet
  • pymc3.Minibatch
  • pymc3.Model
  • pymc3.NUTS
  • pymc3.Normal
  • pymc3.Uniform
  • quasi experimental design
  • regression
  • robust analysis
  • shared data
  • spline
  • sports
  • survival analysis
  • time series
  • truncated
  • truncation
  • variational inference
  • waic

Posts tagged predictions

Using shared variables (Data container adaptation)

  • 16 December 2021
  • Category: beginner
  • Tags: posterior predictive predictions shared data

The pymc.Data container class wraps the theano shared variable class and lets the model be aware of its inputs and outputs. This allows one to change the value of an observed variable to predict or refit on new data. All variables of this class must be declared inside a model context and specify a name for them.

Read more ...


© Copyright 2022, PyMC Community.

Created using Sphinx 5.0.2.