dodiscover.make_context

dodiscover.make_context(context=None, create_using=<class 'dodiscover.context_builder.ContextBuilder'>)

Create a new ContextBuilder instance.

Returns:

resultContextBuilder, InterventionalContextBuilder

The new ContextBuilder instance

Notes

Context objects are dataclasses that creates a dictionary-like access to causal context metadata. Copying relevant information from a Context object into a ContextBuilder is all supported with the exception of state variables. State variables are not copied over. To set state variables again, one must build the Context and then call state_variable().

Examples

This creates a context object denoting that there are three observed variables, (1, 2, 3). >>> context_builder = make_context() >>> context = context_builder.variables([1, 2, 3]).build()

Examples using dodiscover.make_context

Basic causal discovery with DoDiscover using the PC algorithm

Basic causal discovery with DoDiscover using the PC algorithm

Causal discovery with interventional data - Sachs dataset

Causal discovery with interventional data - Sachs dataset

Order-based algorithms for causal discovery from observational data without latent confounders

Order-based algorithms for causal discovery from observational data without latent confounders

Using prior knowledge in order-based algorithms for causal discovery

Using prior knowledge in order-based algorithms for causal discovery