Convert from the underlying data structure to Seq[(I, Y)] where I is the index set of the GP and Y is the value/label type.
The training data
The training data
Predict the value of the target variable given a point.
Predict the value of the target variable given a point.
Calculates posterior predictive distribution for a particular set of test data points.
Calculates posterior predictive distribution for a particular set of test data points.
A Sequence or Sequence like data structure storing the values of the input patters.
Convert from the underlying data structure to Seq[I] where I is the index set of the GP
High Level description of a stochastic process based predictive model.
The underlying data structure storing the training & test data.
The type of the index set (i.e. Double for time series, DenseVector for GP regression)
The type of the output label
Implementing class of the posterior distribution