# fvgpOptimizer

The API is new and often updated. Make heavy use of python's help function. So, for instance

from gpcam.gp_optimizer import fvGPOptimizer

gpo = fvGPOptimizer(...)

help(gpo.tell)

fvGPOptimizer inherits all functionalities from the gpOptimizer class, so have a look there for most of the methods methods. Some methods have been overwritten and explained below.

class fvGPOptimizer(input_space_dimensions, output_space_dimensions, output_number, input_space_bounds)

Arguments:

input_space_dimensions (int): the number of dimensions in the input space

output_space_dimensions (int): the number of dimensions in the output space

output_number (int): how many values will be output per data point in the input

space

index_set_bounds (2d np.array): bounds of the combined index set

Class Methods: This class inherits all methods from the GPOptimizer class. That is why there are only two changes to consider:

tell(x, y, variances = None, value_positions = None)

Same as in GPOptimizer with the addition of value_positions. Value positions is an np.array((len(data set),number of returns, dim of return))

init_fvgp(init_hyperparameters, compute_device = "cpu", gp_kernel_function = None, gp_mean_function = None,

sparse = False)

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