global_interval_est
- pydantic model dakota.spec.method.global_interval_est.GlobalIntervalEstSelection
Generated model for GlobalIntervalEstSelection
Show JSON schema
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"const": true, "default": true, "description": "Selects annotated tabular file format", "title": "Annotated", "type": "boolean", "x-materialization": [ { "ir_key": "method.export_approx_format", "ir_value_type": "unsigned short", "storage_type": "PRESENCE_ENUM", "stored_value": "TABULAR_ANNOTATED" } ] } }, "title": "MethodGlobalSubProblemSolverContext2SbgoExportApproxPointsFileAnnotated", "type": "object" }, "MethodGlobalSubProblemSolverContext2SbgoExportApproxPointsFileCustomAnnotated": { "additionalProperties": false, "description": "Selects custom-annotated tabular file format", "properties": { "custom_annotated": { "$ref": "#/$defs/MethodGlobalSubProblemSolverContext2SbgoExportApproxPointsFileCustomAnnotatedConfig", "x-materialization": [ { "ir_key": "method.export_approx_format", "ir_value_type": "unsigned short", "storage_type": "PRESENCE_ENUM", "stored_value": "TABULAR_NONE" } ], "x-model-default": 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"ir_value_type": "unsigned short", "storage_type": "PRESENCE_ENUM", "stored_value": "TABULAR_ANNOTATED" } ] } }, "title": "MethodGlobalSubProblemSolverContext2SbgoImportBuildPointsFileAnnotated", "type": "object" }, "MethodGlobalSubProblemSolverContext2SbgoImportBuildPointsFileCustomAnnotated": { "additionalProperties": false, "description": "Selects custom-annotated tabular file format", "properties": { "custom_annotated": { "$ref": "#/$defs/MethodGlobalSubProblemSolverContext2SbgoImportBuildPointsFileCustomAnnotatedConfig", "x-materialization": [ { "ir_key": "method.import_build_format", "ir_value_type": "unsigned short", "storage_type": "PRESENCE_ENUM", "stored_value": "TABULAR_NONE" } ], "x-model-default": "MethodGlobalSubProblemSolverContext2SbgoImportBuildPointsFileCustomAnnotatedConfig" } }, "title": "MethodGlobalSubProblemSolverContext2SbgoImportBuildPointsFileCustomAnnotated", "type": "object" }, 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"object" }, "Normal": { "additionalProperties": false, "description": "Level 3 of 5 - default", "properties": { "normal": { "const": true, "default": true, "description": "Level 3 of 5 - default", "title": "Normal", "type": "boolean", "x-materialization": [ { "ir_key": "method.output", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "NORMAL_OUTPUT" } ] } }, "title": "Normal", "type": "object" }, "Quiet": { "additionalProperties": false, "description": "Level 2 of 5 - less than normal", "properties": { "quiet": { "const": true, "default": true, "description": "Level 2 of 5 - less than normal", "title": "Quiet", "type": "boolean", "x-materialization": [ { "ir_key": "method.output", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "QUIET_OUTPUT" } ] } }, "title": "Quiet", "type": "object" }, "RngOptionsContext2Mt19937": { "additionalProperties": false, "description": "Generates random numbers using the Mersenne twister", "properties": { "mt19937": { "const": true, "default": true, "description": "Generates random numbers using the Mersenne twister", "title": "Mt19937", "type": "boolean", "x-materialization": [ { "ir_key": "method.random_number_generator", "ir_value_type": "String", "storage_type": "PRESENCE_LITERAL", "stored_value": "mt19937" } ] } }, "title": "RngOptionsContext2Mt19937", "type": "object" }, "RngOptionsContext2Rnum2": { "additionalProperties": false, "description": "Generates pseudo-random numbers using the Pecos package", "properties": { "rnum2": { "const": true, "default": true, "description": "Generates pseudo-random numbers using the Pecos package", "title": "Rnum2", "type": "boolean", "x-materialization": [ { "ir_key": "method.random_number_generator", "ir_value_type": "String", "storage_type": "PRESENCE_LITERAL", "stored_value": "rnum2" } ] } }, "title": "RngOptionsContext2Rnum2", "type": "object" }, "Silent": { "additionalProperties": false, "description": "Level 1 of 5 - minimum", "properties": { "silent": { "const": true, "default": true, "description": "Level 1 of 5 - minimum", "title": "Silent", "type": "boolean", "x-materialization": [ { "ir_key": "method.output", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "SILENT_OUTPUT" } ] } }, "title": "Silent", "type": "object" }, "Verbose": { "additionalProperties": false, "description": "Level 4 of 5 - more than normal", "properties": { "verbose": { "const": true, "default": true, "description": "Level 4 of 5 - more than normal", "title": "Verbose", "type": "boolean", "x-materialization": [ { "ir_key": "method.output", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "VERBOSE_OUTPUT" } ] } }, "title": "Verbose", "type": "object" } }, "additionalProperties": false, "required": [ "global_interval_est" ] }
- field global_interval_est: GlobalIntervalEstConfig [Required]
- classmethod get_registry() dict[str, type[MethodSelection]]
Get registry, performing deferred registration on first call
- classmethod get_union()
Generate Union from all registered selections
- pydantic model dakota.spec.method.global_interval_est.GlobalIntervalEstConfig
Interval analysis using global optimization methods
Show JSON schema
{ "title": "GlobalIntervalEstConfig", "description": "Interval analysis using global optimization methods", "type": "object", "properties": { "model_pointer": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "description": "Identifier for model block to be used by a method", "title": "Model Pointer", "x-block-pointer": "model", "x-materialization": [ { "ir_key": "method.model_pointer", "ir_value_type": "String", "storage_type": "DIRECT_VALUE" } ] }, "rng": { "anyOf": [ { "$ref": "#/$defs/RngOptionsContext2Mt19937" }, { "$ref": "#/$defs/RngOptionsContext2Rnum2" } ], "description": "Selection of a random number generator", "title": "Rng", "x-model-default": "RngOptionsContext2Mt19937", "x-union-pattern": 1 }, "solution_approach": { "anchor": true, "anyOf": [ { "$ref": "#/$defs/MethodGlobalSubProblemSolverContext2Sbgo" }, { "$ref": "#/$defs/MethodGlobalSubProblemSolverContext2Ego" }, { "$ref": "#/$defs/MethodGlobalSubProblemSolverContext2Ea" }, { "$ref": 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9223372036854775807, "description": "Number of iterations allowed for optimizers and adaptive UQ methods", "minimum": 0, "title": "Max Iterations", "type": "integer", "x-materialization": [ { "ir_key": "method.max_iterations", "ir_value_type": "size_t", "storage_type": "DIRECT_VALUE" } ] }, "id_method": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "description": "Name the method block; helpful when there are multiple", "title": "Id Method", "x-materialization": [ { "ir_key": "method.id", "ir_value_type": "String", "storage_type": "DIRECT_VALUE" } ] }, "output": { "anyOf": [ { "$ref": "#/$defs/Debug" }, { "$ref": "#/$defs/Verbose" }, { "$ref": "#/$defs/Normal" }, { "$ref": "#/$defs/Quiet" }, { "$ref": "#/$defs/Silent" } ], "description": "Control how much method information is written to the screen and output file", "title": "Output", "x-model-default": "Normal", "x-union-pattern": 1 }, "final_solutions": { "default": 0, "description": "Number of designs returned as the best solutions", "minimum": 0, "title": "Final Solutions", "type": "integer", "x-materialization": [ { "ir_key": "method.final_solutions", "ir_value_type": "size_t", "storage_type": "DIRECT_VALUE" } ] }, "samples": { "default": 0, "description": "Number of samples for sampling-based methods", "title": "Samples", "type": "integer", "x-materialization": [ { "ir_key": "method.samples", "ir_value_type": "int", "storage_type": "DIRECT_VALUE" } ] }, "seed": { "anyOf": [ { "exclusiveMinimum": 0, "type": "integer" }, { "type": "null" } ], "default": null, "description": "Seed of the random number generator", "title": "Seed", "x-materialization": [ { "ir_key": "method.random_seed", "ir_value_type": "int", "storage_type": "DIRECT_VALUE" } ] } }, "$defs": { "Debug": { "additionalProperties": false, "description": "Level 5 of 5 - maximum", "properties": { "debug": { "const": true, "default": true, "description": "Level 5 of 5 - maximum", "title": "Debug", "type": "boolean", "x-materialization": [ { "ir_key": "method.output", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "DEBUG_OUTPUT" } ] } }, "title": "Debug", "type": "object" }, "MethodGlobalSubProblemSolverContext2Ea": { "additionalProperties": false, "description": "Use an evolutionary algorithm", "properties": { "ea": { "const": true, "default": true, "description": "Use an evolutionary algorithm", "title": "Ea", "type": "boolean", "x-materialization": [ { "ir_key": "method.nond.opt_subproblem_solver", "ir_value_type": "unsigned short", "storage_type": "PRESENCE_ENUM", "stored_value": "SUBMETHOD_EA" } ] } }, "title": "MethodGlobalSubProblemSolverContext2Ea", "type": "object" }, "MethodGlobalSubProblemSolverContext2Ego": { "additionalProperties": false, "description": "Use the Efficient Global Optimization method", "properties": { "ego": { "$ref": "#/$defs/MethodGlobalSubProblemSolverContext2EgoConfig", "x-materialization": [ { "ir_key": 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models", "title": "Use Derivatives", "x-materialization": [ { "ir_key": "method.derivative_usage", "ir_value_type": "bool", "storage_type": "PRESENCE_TRUE" } ] }, "import_build_points_file": { "anyOf": [ { "$ref": "#/$defs/MethodGlobalSubProblemSolverContext2EgoImportBuildPointsFile" }, { "type": "null" } ], "argument": "filename", "default": null, "description": "File containing points you wish to use to build a surrogate", "x-aliases": [ "import_points_file" ] }, "export_approx_points_file": { "anyOf": [ { "$ref": "#/$defs/MethodGlobalSubProblemSolverContext2EgoExportApproxPointsFile" }, { "type": "null" } ], "argument": "filename", "default": null, "description": "Output file for surrogate model value evaluations", "x-aliases": [ "export_points_file" ] } }, "title": "MethodGlobalSubProblemSolverContext2EgoConfig", "type": "object" }, "MethodGlobalSubProblemSolverContext2EgoExportApproxPointsFile": { "additionalProperties": false, "description": "Output file for surrogate model value 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"#/$defs/MethodGlobalSubProblemSolverContext2SbgoImportBuildPointsFileCustomAnnotatedConfig", "x-materialization": [ { "ir_key": "method.import_build_format", "ir_value_type": "unsigned short", "storage_type": "PRESENCE_ENUM", "stored_value": "TABULAR_NONE" } ], "x-model-default": "MethodGlobalSubProblemSolverContext2SbgoImportBuildPointsFileCustomAnnotatedConfig" } }, "title": "MethodGlobalSubProblemSolverContext2SbgoImportBuildPointsFileCustomAnnotated", "type": "object" }, "MethodGlobalSubProblemSolverContext2SbgoImportBuildPointsFileCustomAnnotatedConfig": { "additionalProperties": false, "description": "Selects custom-annotated tabular file format", "properties": { "header": { "anyOf": [ { "const": true, "type": "boolean" }, { "type": "null" } ], "default": null, "description": "Enable header row in custom-annotated tabular file", "title": "Header", "x-materialization": [ { "ir_key": "method.import_build_format", "ir_value_type": "unsigned short", "storage_type": "AUGMENT_ENUM", "stored_value": "TABULAR_HEADER" } ] }, "eval_id": { "anyOf": [ { "const": true, "type": "boolean" }, { "type": "null" } ], "default": null, "description": "Enable evaluation ID column in custom-annotated tabular file", "title": "Eval Id", "x-materialization": [ { "ir_key": "method.import_build_format", "ir_value_type": "unsigned short", "storage_type": "AUGMENT_ENUM", "stored_value": "TABULAR_EVAL_ID" } ] }, "interface_id": { "anyOf": [ { "const": true, "type": "boolean" }, { "type": "null" } ], "default": null, "description": "Enable interface ID column in custom-annotated tabular file", "title": "Interface Id", "x-materialization": [ { "ir_key": "method.import_build_format", "ir_value_type": "unsigned short", "storage_type": "AUGMENT_ENUM", "stored_value": "TABULAR_IFACE_ID" } ] } }, "title": "MethodGlobalSubProblemSolverContext2SbgoImportBuildPointsFileCustomAnnotatedConfig", "type": "object" }, "MethodGlobalSubProblemSolverContext2SbgoImportBuildPointsFileFreeform": { "additionalProperties": false, "description": "Selects freeform file format", "properties": { "freeform": { "const": true, "default": true, "description": "Selects freeform file format", "title": "Freeform", "type": "boolean", "x-materialization": [ { "ir_key": "method.import_build_format", "ir_value_type": "unsigned short", "storage_type": "PRESENCE_ENUM", "stored_value": "TABULAR_NONE" } ] } }, "title": "MethodGlobalSubProblemSolverContext2SbgoImportBuildPointsFileFreeform", "type": "object" }, "Normal": { "additionalProperties": false, "description": "Level 3 of 5 - default", "properties": { "normal": { "const": true, "default": true, "description": "Level 3 of 5 - default", "title": "Normal", "type": "boolean", "x-materialization": [ { "ir_key": "method.output", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "NORMAL_OUTPUT" } ] } }, "title": "Normal", "type": "object" }, "Quiet": { "additionalProperties": false, "description": "Level 2 of 5 - less than normal", "properties": { "quiet": { "const": true, "default": true, "description": "Level 2 of 5 - less than normal", "title": "Quiet", "type": "boolean", "x-materialization": [ { "ir_key": "method.output", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "QUIET_OUTPUT" } ] } }, "title": "Quiet", "type": "object" }, "RngOptionsContext2Mt19937": { "additionalProperties": false, "description": "Generates random numbers using the Mersenne twister", "properties": { "mt19937": { "const": true, "default": true, "description": "Generates random numbers using the Mersenne twister", "title": "Mt19937", "type": "boolean", "x-materialization": [ { "ir_key": "method.random_number_generator", "ir_value_type": "String", "storage_type": "PRESENCE_LITERAL", "stored_value": "mt19937" } ] } }, "title": "RngOptionsContext2Mt19937", "type": "object" }, "RngOptionsContext2Rnum2": { "additionalProperties": false, "description": "Generates pseudo-random numbers using the Pecos package", "properties": { "rnum2": { "const": true, "default": true, "description": "Generates pseudo-random numbers using the Pecos package", "title": "Rnum2", "type": "boolean", "x-materialization": [ { "ir_key": "method.random_number_generator", "ir_value_type": "String", "storage_type": "PRESENCE_LITERAL", "stored_value": "rnum2" } ] } }, "title": "RngOptionsContext2Rnum2", "type": "object" }, "Silent": { "additionalProperties": false, "description": "Level 1 of 5 - minimum", "properties": { "silent": { "const": true, "default": true, "description": "Level 1 of 5 - minimum", "title": "Silent", "type": "boolean", "x-materialization": [ { "ir_key": "method.output", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "SILENT_OUTPUT" } ] } }, "title": "Silent", "type": "object" }, "Verbose": { "additionalProperties": false, "description": "Level 4 of 5 - more than normal", "properties": { "verbose": { "const": true, "default": true, "description": "Level 4 of 5 - more than normal", "title": "Verbose", "type": "boolean", "x-materialization": [ { "ir_key": "method.output", "ir_value_type": "short", "storage_type": "PRESENCE_ENUM", "stored_value": "VERBOSE_OUTPUT" } ] } }, "title": "Verbose", "type": "object" } }, "additionalProperties": false }
- Fields:
- field convergence_tolerance: DakotaFloat = -1.7976931348623157e+308
Stopping criterion based on objective function or statistics convergence
- Constraints:
func = <function _serialize_dakota_float at 0x7f2a3de76700>
return_type = float | str
when_used = json
- field final_solutions: int = 0
Number of designs returned as the best solutions
- Constraints:
ge = 0
- field id_method: str | None = None
Name the method block; helpful when there are multiple
- field max_function_evaluations: int = 9223372036854775807
Number of function evaluations allowed for optimizers
- Constraints:
ge = 0
- field max_iterations: int = 9223372036854775807
Number of iterations allowed for optimizers and adaptive UQ methods
- Constraints:
ge = 0
- field model_pointer: str | None = None
Identifier for model block to be used by a method
- field output: Debug | Verbose | Normal | Quiet | Silent [Optional]
Control how much method information is written to the screen and output file
- field rng: RngOptionsContext2Mt19937 | RngOptionsContext2Rnum2 [Optional]
Selection of a random number generator
- field samples: int = 0
Number of samples for sampling-based methods
- field seed: int | None = None
Seed of the random number generator
- Constraints:
gt = 0
- field solution_approach: MethodGlobalSubProblemSolverContext2Sbgo | MethodGlobalSubProblemSolverContext2Ego | MethodGlobalSubProblemSolverContext2Ea | MethodGlobalSubProblemSolverContext2Lhs | None = None
Solution Approach
Generated Pydantic models for method.global_interval_est
