DoWhy
v0.2
Contents:
DoWhy | Making causal inference easy
Getting started with DoWhy: A simple example
Confounding Example: Finding causal effects from observed data
DoWhy: Different estimation methods for causal inference
Conditional Average Treatment Effects (CATE) with DoWhy and EconML
Demo for the DoWhy causal API
Do-sampler Introduction
Different ways to load an input graph
Simple example on using Instrumental Variables method for estimation
DoWhy example on ihdp (Infant Health and Development Program) dataset
DoWhy example on the Lalonde dataset
Lalonde Pandas API Example
Code repository & Versions
dowhy package
Subpackages
dowhy.api package
dowhy.causal_estimators package
dowhy.causal_refuters package
dowhy.data_transformers package
Submodules
dowhy.data_transformers.pca_reducer module
Module contents
dowhy.do_samplers package
dowhy.utils package
Submodules
dowhy.causal_estimator module
dowhy.causal_graph module
dowhy.causal_identifier module
dowhy.causal_model module
dowhy.causal_refuter module
dowhy.data_transformer module
dowhy.datasets module
dowhy.do_sampler module
dowhy.plotter module
Module contents
DoWhy
»
dowhy package
»
dowhy.data_transformers package
View page source
dowhy.data_transformers package
Submodules
dowhy.data_transformers.pca_reducer module
class
dowhy.data_transformers.pca_reducer.
PCAReducer
(
*
args
,
**
kwargs
)
[source]
Bases:
DimensionalityReducer
reduce
(
)
[source]
Module contents
Other Versions
v: v0.2
Releases
v0.1.1-alpha
v0.2
v0.4
v0.5
v0.5.1
v0.6
v0.7
v0.7.1
v0.8
Branches
main