API reference

CℓEmulator(TrainedEmulator::AbstractTrainedEmulators, ℓgrid::Array,
InMinMax::Matrix, OutMinMax::Matrix)

This is the fundamental struct used to obtain the $C_\ell$'s from an emulator. It contains:

• TrainedEmulator::AbstractTrainedEmulators, the trained emulator

• ℓgrid::AbstractVector, the $\ell$-grid the emulator has been trained on.

• InMinMax::AbstractMatrix, the Matrix used for the MinMax normalization of the input features

• OutMinMax::AbstractMatrix, the Matrix used for the MinMax normalization of the output features

• Postprocessing::Function, the Function used for the postprocessing of the NN output

get_Cℓ(input_params, Cℓemu::AbstractCℓEmulators)

Computes and returns the $C_\ell$'s on the $\ell$-grid the emulator has been trained on given input array input_params.

get_ℓgrid(CℓEmulator::AbstractCℓEmulators)

Returns the $\ell$-grid the emulator has been trained on.

get_emulator_description(Cℓemu::AbstractCℓEmulators)

Print on screen the emulator description.

load_emulator(path::String, emu_backend::AbstractTrainedEmulators)

Load the emulator with the files in the folder path, using the backend defined by emu_backend. The following keyword arguments are used to specify the name of the files used to load the emulator:

• ℓ_file, default l.npy
• weights_file, default weights.npy
• inminmax_file, default inminmax.npy
• outminmax_file, default outminmax.npy
• nn_setup_file, default nn_setup.json
• postprocessing_file, default postprocessing.jl

If the corresponding file in the folder you are trying to load have different names, change the default values accordingly.