View source: R/TMLE_updaters.R
Performs an SDR update using GBM from xgboost
package with parameter max_delta_step
=1.
This function is passed along as a separate learner
to the SuperLearner implementation of origami package
Performs an SDR update using GBM from xgboost
package with parameter max_delta_step
=2.
This function is passed along as a separate learner
to the SuperLearner implementation of origami package
Performs an SDR update using GBM from xgboost
package with parameter max_delta_step
=3.
This function is passed along as a separate learner
to the SuperLearner implementation of origami package
Performs an SDR update using GBM from xgboost
package with parameter max_delta_step
=4.
This function is passed along as a separate learner
to the SuperLearner implementation of origami package
General GBM learner from xgboost
package.
This function is passed along as a separate learner
to the SuperLearner implementation of origami package
1 2 3 4 5 6 7 8 9 10 11 12 | iTMLE.updater.xgb.delta1(Y, X, newX, family, obsWeights, params, ...)
iTMLE.updater.xgb.delta2(Y, X, newX, family, obsWeights, params, ...)
iTMLE.updater.xgb.delta3(Y, X, newX, family, obsWeights, params, ...)
iTMLE.updater.xgb.delta4(Y, X, newX, family, obsWeights, params, ...)
iTMLE.updater.xgb(Y, X, newX, family, obsWeights, params, ...)
## S3 method for class 'iTMLE.updater.xgb'
predict(object, newdata, offset, ...)
|
Y |
Input outcomes |
X |
Input design matrix with training data. Must contain a column named "offset", which contains the offsets converted to logit-linear scale. |
newX |
Input design matrix with test data.
Same requirement as for |
family |
Link function (ignored). |
obsWeights |
Row-specific weights |
params |
Tuning parameters passed on to |
... |
Additional arguments to be passed on to |
object |
Results of calling |
newdata |
Design matrix with test data for which predictions should be obtained. May contain a column named "offset", instead of it being passed as a separate argument. |
offset |
Offset (on logit scale if using logistic regression update). |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.