createWeights: Create weights for COBRA Predictions
In fuseMLR: Fusing Machine Learning in R

createWeights

R Documentation

Create weights for COBRA Predictions

The createWeights function is used to calculate weights for predictions.

createWeights(train, test, n_train, n_test, nlearners, eps, alpha)

`train`	A `matrix` representing the training data. Rows represent observations, and columns contain predictions from individual learners for these observations. In cases where a prediction is unavailable for a specific observation, `NA` is used.
`test`	A `matrix` representing the test data. Rows represent observations, and columns contain predictions from individual learners for these observations. In cases where a prediction is unavailable for a specific observation, `NA` is used.
`n_train`	An `integer` specifying the number of training observations.
`n_test`	An `integer` specifying the number of test observations.
`nlearners`	An `integer` representing the number of learners.
`eps`	A `numeric` value representing the threshold for proximity between two predictions.
`alpha`	A value that determines the optimal number of learners in the neighborhood (only for alpha optimization).