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update news
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rachaelvp committed Jun 5, 2022
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* Added documentation for the function `process_data` (R/process_data.R), which
is called when instantiating a task, to process the covariates and identify
missingness in the outcome.
* Added `Lrnr_grfcate`, a prediction function estimator for conditional average
treatment effect (CATE), which uses the `causal_forest` function in `grf`
package. This learner is intended for use in the `tmle3mopttx` package, where
CATE estimation and prediction is required.

# sl3 1.4.4
* Updates to `Lrnr_nnls` to support binary outcomes, including support for
convexity of the resultant model fit and warnings on prediction quality.
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