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forest regression
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configs/spmd/large_scale/forest_reg.json

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},
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"synthetic data": {
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"data": [
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{ "source": "make_regression", "generation_kwargs": { "n_samples": 10000000, "n_features": 10, "noise": 1.25 }, "split_kwargs": { "train_size": 9090000, "test_size": 100000 }, "algorithm": { "estimator_params": { "n_estimators": 5, "max_depth": 4 } }},
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{ "source": "make_regression", "generation_kwargs": { "n_samples": 100000, "n_features": 1000, "noise": 1.25 }, "split_kwargs": { "train_size": 90000, "test_size": 10000 }, "algorithm": { "estimator_params": { "n_estimators": 10, "max_depth": 4 } }}
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{ "source": "make_regression", "generation_kwargs": { "n_samples": 1000000, "n_features": 10, "noise": 1.25 }, "split_kwargs": { "train_size": 900000, "test_size": 100000 }, "algorithm": { "estimator_params": { "n_estimators": 5, "max_depth": 4 } }},
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{ "source": "make_regression", "generation_kwargs": { "n_samples": 100000, "n_features": 100, "noise": 1.25 }, "split_kwargs": { "train_size": 90000, "test_size": 10000 }, "algorithm": { "estimator_params": { "n_estimators": 10, "max_depth": 4 } }}
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}

configs/spmd/large_scale/forest_strong_reg.json

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},
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"synthetic data": {
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"data": [
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{ "source": "make_regression", "generation_kwargs": { "n_samples": 10000000, "n_features": 10, "noise": 1.25 }, "split_kwargs": { "train_size": 9090000, "test_size": 100000 }, "algorithm": { "estimator_params": { "n_estimators": 5, "max_depth": 4 } }},
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{ "source": "make_regression", "generation_kwargs": { "n_samples": 100000, "n_features": 1000, "noise": 1.25 }, "split_kwargs": { "train_size": 90000, "test_size": 10000 }, "algorithm": { "estimator_params": { "n_estimators": 10, "max_depth": 4 } }}
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{ "source": "make_regression", "generation_kwargs": { "n_samples": 1000000, "n_features": 10, "noise": 1.25 }, "split_kwargs": { "train_size": 900000, "test_size": 10000 }, "algorithm": { "estimator_params": { "n_estimators": 5, "max_depth": 4 } }},
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{ "source": "make_regression", "generation_kwargs": { "n_samples": 100000, "n_features": 100, "noise": 1.25 }, "split_kwargs": { "train_size": 90000, "test_size": 10000 }, "algorithm": { "estimator_params": { "n_estimators": 10, "max_depth": 4 } }}
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]
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}

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