LearningObject-methods | R Documentation |
LearningObject
Methods Available for Objects of Class LearningObject
Create LearningObject
## S4 method for signature 'LearningObject'
.subsetObject(methodObject, subset)
## S4 method for signature 'numeric,LearningObject,Kernel'
.objFn(par, methodObject, kernel, lambda, ...)
## S4 method for signature 'numeric,LearningObject,Kernel'
.dobjFn(par, methodObject, kernel, lambda, ...)
## S4 method for signature 'LearningObject'
.valueFunc(methodObject, optTx, ...)
.createLearningObject(
kernel,
surrogate,
mu,
txVec,
response,
prWgt,
guess = NULL,
...
)
kernel |
Kernel object |
surrogate |
Surrogate object indicating surrogate loss-function |
mu |
Matrix of predicted outcome on binary tx coding |
txVec |
Tx vector coded as -1/1 |
response |
vector of response |
prWgt |
propensity wgt for tx received |
guess |
Vector of estimated regime parameters |
A LearningObject object
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