API Reference

CaML Core

from caml import *

Core functionality of CaML for estimating causal effects with cross-sectional data.

AutoCATE	The AutoCATE class is a high-level API facilitating an AutoML framework for CATE estimation, built on top of the EconML library.
InteractiveLinearRegression	InteractiveLinearRegression is an interactive linear regression estimator with explicit treatment interaction terms, enabling precision improvements & heterogeneous treatment discovery.

from caml.extensions.synthetic_data import *

Synthetic data generation utilities for CaML.

SyntheticDataGenerator	Generate highly flexible synthetic data for use in causal inference and CaML testing.
make_partially_linear_dataset_simple	Simulate data generating process from a partially linear model with a simple 1 or 2 dimensional CATE function.
make_partially_linear_dataset_constant	Simulate a data generating process from a partially linear model with a constant treatment effect (ATE only).
make_fully_heterogeneous_dataset	Simulate data generating process from an interactive regression model with fully heterogenous treatment effects.

from caml.extensions.plots import *

Plotting utilities for CaML.

cate_histogram_plot	Plots a histogram the estimated CATEs.
cate_line_plot	Plots a line plot of the ordered estimated CATEs as a rolling mean with optional confidence intervals.
cate_true_vs_estimated_plot	Plots a scatter plot of the estimated CATEs against the true CATEs.

Developer tools and utilities for CaML.

decorators	Decorator utilities for CaML.
interfaces	Interface utilities for CaML.
utils	Various Utilities for CaML.
logging	Logging utilities for CaML.