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add did config
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confidence_parameters:
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level:
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- 0.95
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- 0.9
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dgp_parameters:
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DGP:
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- 1
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- 4
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- 6
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n_obs:
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- 500
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dml_parameters:
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in_sample_normalization:
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- true
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- false
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learners:
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- ml_g: !!python/tuple
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- Linear
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- !!python/object:sklearn.linear_model._base.LinearRegression
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_sklearn_version: 1.5.2
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copy_X: true
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fit_intercept: true
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n_jobs: null
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positive: false
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ml_m: !!python/tuple
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- Linear
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- !!python/object:sklearn.linear_model._logistic.LogisticRegression
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C: 1.0
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_sklearn_version: 1.5.2
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class_weight: null
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dual: false
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fit_intercept: true
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intercept_scaling: 1
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l1_ratio: null
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max_iter: 100
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multi_class: deprecated
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n_jobs: null
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penalty: l2
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random_state: null
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solver: lbfgs
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tol: 0.0001
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verbose: 0
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warm_start: false
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score:
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- observational
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- experimental
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simulation_parameters:
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max_runtime: 19800
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n_jobs: -2
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random_seed: 42
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repetitions: 1000

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