datamod.results module

This module contains functions to handle the results database.

datamod.results.append_verification_to_database(file, verification_file)

Appends the results from the verification to the training database.

Parameters:

• file (str) – Path and name of the training database file.
• verification_file (str) – Path and name of the verification database file.

datamod.results.header_names(dim_in, n_obj, n_const)

Determines the header names.

Parameters:

• dim_in (int) – Number of input dimensions.
• n_const (int) – Number of constraints.
• n_obj (int) – Number of objectives.

Returns:

Header names.

Return type:

headers (list)

datamod.results.load_results(file)

Loads the data from the result database.

Parameters:file (str) – Path and name of the database file. Returns:Number of input dimensions. col_names (np.array): Name if stored variables. data (np.array): Samples. Return type:dim_in (int)

datamod.results.make_data_file(file, dim_in, n_obj, n_constr)

Initialize the results file header.

Parameters:

• file (str) – Path and name of the database file.
• dim_in (int) – Number of input dimensions.
• n_const (int) – Number of constraints.
• n_obj (int) – Number of objectives.

datamod.results.make_response_files(folder, dim_in, n_obj, n_constr)

Sets up the training and verification database files.

Parameters:

• folder (str) – Path to the current results data folder.
• dim_in (int) – Number of input dimensions.
• n_const (int) – Number of constraints.
• n_obj (int) – Number of objectives.

Returns:

List of the database files paths.

Return type:

files (list)

datamod.results.write_results(file, inputs, outputs)

Write the samples to the database.

Parameters:

• inputs (np.array) – Input coordinates.
• outputs (np.array) – Output coordinates.