DOE algorithms

In this example, we will discover the different functions of the API related to design of experiments.

from gemseo.api import configure_logger
from gemseo.api import get_algorithm_options_schema
from gemseo.api import get_available_doe_algorithms



<RootLogger root (INFO)>

Get available DOE algorithms

The get_available_doe_algorithms() function returns the list of optimization algorithms available in GEMSEO or in external modules



['CustomDOE', 'DiagonalDOE', 'OT_SOBOL', 'OT_RANDOM', 'OT_HASELGROVE', 'OT_REVERSE_HALTON', 'OT_HALTON', 'OT_FAURE', 'OT_MONTE_CARLO', 'OT_FACTORIAL', 'OT_COMPOSITE', 'OT_AXIAL', 'OT_OPT_LHS', 'OT_LHS', 'OT_LHSC', 'OT_FULLFACT', 'OT_SOBOL_INDICES', 'fullfact', 'ff2n', 'pbdesign', 'bbdesign', 'ccdesign', 'lhs']

Get options schema

For a given optimization algorithm, e.g. "DiagonalDOE", we can get the options; e.g.



{'$schema': '', 'description': 'Diagonal DOE algorithm', 'additionalProperties': False, 'type': 'object', 'properties': {'eval_jac': {'description': 'Whether to evaluate the Jacobian.', 'type': 'boolean'}, 'n_processes': {'minimum': 1, 'description': 'The maximum simultaneous number of processes used to parallelize the execution.', 'type': 'integer'}, 'wait_time_between_samples': {'minimum': 0, 'description': 'The waiting time between two samples.', 'type': 'number'}, 'n_samples': {'minimum': 2, 'description': 'The number of samples. The number of samples must be greater than or equal to 2.', 'type': 'integer'}, 'max_time': {'minimum': 0.0, 'description': 'The maximum runtime in seconds. If 0, no maximum runtime is set.', 'type': 'number'}, 'reverse': {'anyOf': [{'items': {'type': 'string', 'minItems': 1}, 'type': 'null'}, {'type': 'array', 'items': {'minItems': 1, 'type': 'string'}}]}}}

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