make_gold_linear
A standard linear benchmark with moderate confounding. Based on the benchmark scenario in docs/research/dgp_benchmarking.ipynb.
causalis.data_contracts
- CausalData
- CausalDataInstrumental
- CausalDatasetGenerator
- CausalEstimate
- DiagnosticData
- MultiCausalData
- RegressionChecks
- UnconfoundednessDiagnosticData
- causal_diagnostic_data
- causal_estimate
- causaldata
- causaldata_instrumental
- classic_rct_gamma
- classic_rct_gamma_26
- generate_classic_rct
- generate_classic_rct_26
- generate_cuped_binary
- generate_rct
- make_cuped_binary_26
- make_gold_linear
- multicausal_estimate
- multicausaldata
- obs_linear_26_dataset
- obs_linear_effect
- regression_checks
causalis.dgp
- CausalDatasetGenerator
- base
- causaldata
- causaldata_instrumental
- classic_rct_gamma
- classic_rct_gamma_26
- generate_classic_rct
- generate_classic_rct_26
- generate_cuped_binary
- generate_cuped_tweedie_26
- generate_iv_data
- generate_rct
- make_cuped_binary_26
- make_cuped_tweedie
- make_gold_linear
- multicausaldata
- obs_linear_26_dataset
- obs_linear_effect
API ReferenceEntry
make_gold_linear
make_gold_linear
Reference details for make_gold_linear in causalis.data_contracts.