Lalonde¶
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whynot.simulators.lalonde.experiments.
run_lalonde
(num_samples, hidden_dim, alpha_scale, seed=None, parallelize=True, show_progress=False)[source]¶ Generate data from the LaLonde dataset with a random response function.
The covariates and treatment are both specified by the dataset, and the response function is a random 2-layer neural network with ReLu.
Parameters: - num_samples (int) – This parameter is ignored since the LaLonde dataset size is fixed.
- hidden_dim (int) – Hidden dimension of the relu network.
- alpha_scale (float) – Standard deviation of the final layer weights.
- seed (int) – Random seed used for all internal randomness
- parallelize (bool) – Ignored, but included for consistency with GenericExperiment API.
- show_progress (False) – Ignored, but included for consistency with GenericExperiment API.