[WIP] Add Causal ML benchmark #389
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rusty1s
reviewed
Apr 15, 2024
torch_frame/datasets/jobs.py
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| treatment indicator (1 if treated, 0 if not treated), age, | ||
| education, Black (1 if black, 0 otherwise), Hispanic | ||
| (1 if Hispanic, 0 otherwise), married (1 if married, 0 otherwise), | ||
| nodegree (1 if no degree, 0 otherwise), RE74 (earnings in 1974), | ||
| RE75 (earnings in 1975), and RE78 (earnings in 1978). |
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Make this into a readable doc-string.
| train = 'https://www.fredjo.com/files/jobs_DW_bin.new.10.train.npz' | ||
| test = 'https://www.fredjo.com/files/jobs_DW_bin.new.10.test.npz' | ||
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| def __init__(self, root: str, feature_engineering: bool = False): |
torch_frame/datasets/jobs.py
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| lalonde_treated = 'https://users.nber.org/~rdehejia/data/nsw_treated.txt' | ||
| lalonde_control = 'https://users.nber.org/~rdehejia/data/nsw_control.txt' | ||
| psid = 'https://users.nber.org/~rdehejia/data/psid_controls.txt' | ||
| train = 'https://www.fredjo.com/files/jobs_DW_bin.new.10.train.npz' | ||
| test = 'https://www.fredjo.com/files/jobs_DW_bin.new.10.test.npz' |
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| lalonde_treated = 'https://users.nber.org/~rdehejia/data/nsw_treated.txt' | |
| lalonde_control = 'https://users.nber.org/~rdehejia/data/nsw_control.txt' | |
| psid = 'https://users.nber.org/~rdehejia/data/psid_controls.txt' | |
| train = 'https://www.fredjo.com/files/jobs_DW_bin.new.10.train.npz' | |
| test = 'https://www.fredjo.com/files/jobs_DW_bin.new.10.test.npz' | |
| lalonde_treated_url = 'https://users.nber.org/~rdehejia/data/nsw_treated.txt' | |
| lalonde_control_url = 'https://users.nber.org/~rdehejia/data/nsw_control.txt' | |
| psid_url = 'https://users.nber.org/~rdehejia/data/psid_controls.txt' | |
| train_url = 'https://www.fredjo.com/files/jobs_DW_bin.new.10.train.npz' | |
| test_url = 'https://www.fredjo.com/files/jobs_DW_bin.new.10.test.npz' |
torch_frame/datasets/jobs.py
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| train = self.download_url(Jobs.train, root) | ||
| test = self.download_url(Jobs.test, root) |
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| train = self.download_url(Jobs.train, root) | |
| test = self.download_url(Jobs.test, root) | |
| train = self.download_url(self.train_url, root) | |
| test = self.download_url(self.test_url, root) |
examples/bcauss.py
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| parser.add_argument("--lr", type=float, default=0.00001) | ||
| parser.add_argument("--epochs", type=int, default=2) | ||
| parser.add_argument("--seed", type=int, default=2) | ||
| parser.add_argument("--compile", action="store_true") |
examples/bcauss.py
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| treated_eval_dataset.materialize(path=osp.join(path, "treated_eval_data.pt")) | ||
| control_eval_dataset.materialize(path=osp.join(path, "control_eval_data.pt")) |
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Why do we need to materialize again?
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