.owl stores parameters required for OWL optimization step
Matrix of covariates for kernel
Vector of tx multiplied by the sign of the response
Vector of tx coded as -1/1
Vector of the absolute value of the response weighted by the propensity for the tx received
Vector of the response
Vector of the inverse of the propensity for the tx received
The Surrogate for the loss-function
Vector of regime parameters
The Kernel defining the decision function
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.