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update guide and notebook
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‎doc/examples/py_double_ml_sensitivity.ipynb

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"d 3.23674 5.023089"
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"------------------ Scenario ------------------\n",
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‎doc/guide/guide.rst

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==========
77

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.. toctree::
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:numbered:
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:maxdepth: 2
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:numbered:
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The basics of double/debiased machine learning <basics>
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The data-backend DoubleMLData <data_backend>
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Models <models>
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Heterogeneous Treatment Effects <heterogeneity>
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Score functions <scores>
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Double machine learning algorithms <algorithms>
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Learners, hyperparameters and hyperparameter tuning <learners>
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Variance estimation and confidence intervals <se_confint>
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Sample-splitting, cross-fitting and repeated cross-fitting <resampling>
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The basics of double/debiased machine learning <basics>
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The data-backend DoubleMLData <data_backend>
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Models <models>
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Heterogeneous Treatment Effects <heterogeneity>
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Score functions <scores>
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Double machine learning algorithms <algorithms>
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Learners, hyperparameters and hyperparameter tuning <learners>
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Variance estimation and confidence intervals <se_confint>
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Sample-splitting, cross-fitting and repeated cross-fitting <resampling>
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Sensitivity Analysis <sensitivity>

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