global_reliability

pydantic model dakota.spec.method.global_reliability.GlobalReliabilitySelection

Generated model for GlobalReliabilitySelection

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{
   "title": "GlobalReliabilitySelection",
   "description": "Generated model for GlobalReliabilitySelection",
   "type": "object",
   "properties": {
      "global_reliability": {
         "$ref": "#/$defs/GlobalReliabilityConfig",
         "x-aliases": [
            "nond_global_reliability"
         ],
         "x-materialization": [
            {
               "ir_key": "method.algorithm",
               "ir_value_type": "unsigned short",
               "storage_type": "PRESENCE_ENUM",
               "stored_value": "GLOBAL_RELIABILITY"
            }
         ]
      }
   },
   "$defs": {
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         "additionalProperties": false,
         "description": "Level 5 of 5 - maximum",
         "properties": {
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               "const": true,
               "default": true,
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                  }
               ]
            }
         },
         "title": "Debug",
         "type": "object"
      },
      "DistributionCumulComplContext1Complementary": {
         "additionalProperties": false,
         "description": "Computes statistics according to complementary cumulative functions",
         "properties": {
            "complementary": {
               "const": true,
               "default": true,
               "description": "Computes statistics according to complementary cumulative functions",
               "title": "Complementary",
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                  }
               ]
            }
         },
         "title": "DistributionCumulComplContext1Complementary",
         "type": "object"
      },
      "DistributionCumulComplContext1Cumulative": {
         "additionalProperties": false,
         "description": "Computes statistics according to cumulative functions",
         "properties": {
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               "const": true,
               "default": true,
               "description": "Computes statistics according to cumulative functions",
               "title": "Cumulative",
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                  }
               ]
            }
         },
         "title": "DistributionCumulComplContext1Cumulative",
         "type": "object"
      },
      "GenReliabilityLevelsGenReliabilityLevels": {
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         "description": "Specify generalized relability levels at which to estimate the corresponding response value",
         "properties": {
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               "description": "Specify generalized relability levels at which to estimate the corresponding response value",
               "items": {
                  "type": "number"
               },
               "title": "Values",
               "type": "array"
            },
            "num_gen_reliability_levels": {
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                  {
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                        "type": "integer"
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                     "type": "array"
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                  {
                     "type": "null"
                  }
               ],
               "default": null,
               "description": "Specify which ``gen_reliability_levels`` correspond to which response",
               "title": "Num Gen Reliability Levels"
            }
         },
         "required": [
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         ],
         "title": "GenReliabilityLevelsGenReliabilityLevels",
         "type": "object",
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               "validationErrorMessage": "For genreliabilitylevelsgenreliabilitylevels, sum of num_gen_reliability_levels must equal length of values.",
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                  "num_gen_reliability_levels",
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               ],
               "validationLiterals": [],
               "validationRuleName": "check_sum_equals_length"
            }
         ]
      },
      "GlobalReliabilityConfig": {
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         "description": "Global reliability methods",
         "properties": {
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                     "type": "string"
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               ],
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               "title": "Model Pointer",
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               ]
            },
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               "title": "Convergence Tolerance",
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                  },
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                     "ir_value_type": "Real",
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               ]
            },
            "max_iterations": {
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               ]
            },
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                     "$ref": "#/$defs/ResponseLevelsComputeProbGenContext1ResponseLevels"
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               ],
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                     "storage_type": "RESPONSE_LEVELS_ARRAY"
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               ]
            },
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                     "$ref": "#/$defs/ProbabilityLevelsContext2ProbabilityLevels"
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               ],
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               ]
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               ],
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                     "$ref": "#/$defs/RngOptionsContext2Rnum2"
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               ],
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               ],
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                     "type": "string"
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               ],
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                     "storage_type": "DIRECT_VALUE"
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               ]
            },
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                     "$ref": "#/$defs/Verbose"
                  },
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                  },
                  {
                     "$ref": "#/$defs/Quiet"
                  },
                  {
                     "$ref": "#/$defs/Silent"
                  }
               ],
               "description": "Control how much method information is written to the screen and output file",
               "title": "Output",
               "x-model-default": "Normal",
               "x-union-pattern": 1
            },
            "final_solutions": {
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               "description": "Number of designs returned as the best solutions",
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               ]
            },
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            },
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                     "$ref": "#/$defs/XGP"
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                     "$ref": "#/$defs/UGP"
                  }
               ],
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            },
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                     "$ref": "#/$defs/GlobalReliabilitySurfpack"
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                     "$ref": "#/$defs/GlobalReliabilityExportApproxPointsFile"
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               "default": null,
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            },
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               ],
               "default": null,
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               "title": "Use Derivatives",
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            "seed": {
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                     "exclusiveMinimum": 0,
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               "default": null,
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         },
         "required": [
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         ],
         "title": "GlobalReliabilityConfig",
         "type": "object"
      },
      "GlobalReliabilityDakota": {
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         "description": "Select the built in Gaussian Process surrogate",
         "properties": {
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               "default": true,
               "description": "Select the built in Gaussian Process surrogate",
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         "description": "Use the experimental Gaussian Process surrogate",
         "properties": {
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                  {
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         },
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         "title": "GlobalReliabilityExperimental",
         "type": "object"
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      "GlobalReliabilityExperimentalConfig": {
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         "description": "Use the experimental Gaussian Process surrogate",
         "properties": {
            "export_model": {
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                  {
                     "$ref": "#/$defs/MethodExportModelContext1ExportModel"
                  },
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                     "type": "null"
                  }
               ],
               "default": null,
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            },
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               "anyOf": [
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                     "type": "string"
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                  {
                     "type": "null"
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               ],
               "default": null,
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               ]
            }
         },
         "title": "GlobalReliabilityExperimentalConfig",
         "type": "object"
      },
      "GlobalReliabilityExportApproxPointsFile": {
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         "description": "Output file for surrogate model value evaluations",
         "properties": {
            "format": {
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               "anyOf": [
                  {
                     "$ref": "#/$defs/MethodExportApproxFormatCustomAnnotated"
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                     "$ref": "#/$defs/MethodExportApproxFormatAnnotated"
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                     "$ref": "#/$defs/MethodExportApproxFormatFreeform"
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               "title": "Format",
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               "x-union-pattern": 1
            },
            "filename": {
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               "title": "Filename",
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         },
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         "title": "GlobalReliabilityExportApproxPointsFile",
         "type": "object"
      },
      "GlobalReliabilitySurfpack": {
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         "properties": {
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         },
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         ],
         "title": "GlobalReliabilitySurfpack",
         "type": "object"
      },
      "ImportBuildImportBuildPointsFile": {
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         "description": "File containing points you wish to use to build a surrogate",
         "properties": {
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         "title": "ImportBuildImportBuildPointsFile",
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         "properties": {
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                     "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.export_approx_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.export_approx_format",
                     "ir_value_type": "unsigned short",
                     "storage_type": "AUGMENT_ENUM",
                     "stored_value": "TABULAR_IFACE_ID"
                  }
               ]
            }
         },
         "title": "MethodExportApproxFormatCustomAnnotatedConfig",
         "type": "object"
      },
      "MethodExportApproxFormatFreeform": {
         "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.export_approx_format",
                     "ir_value_type": "unsigned short",
                     "storage_type": "PRESENCE_ENUM",
                     "stored_value": "TABULAR_NONE"
                  }
               ]
            }
         },
         "title": "MethodExportApproxFormatFreeform",
         "type": "object"
      },
      "MethodExportModelContext1ExportModel": {
         "additionalProperties": false,
         "description": "Exports surrogate model in user-specified format(s)",
         "properties": {
            "filename_prefix": {
               "default": "exported_surrogate",
               "description": "User-customizable portion of exported/imported surrogate model filenames",
               "title": "Filename Prefix",
               "type": "string",
               "x-materialization": [
                  {
                     "ir_key": "method.model_export_prefix",
                     "ir_value_type": "String",
                     "storage_type": "DIRECT_VALUE"
                  }
               ]
            },
            "formats": {
               "$ref": "#/$defs/MethodExportModelContext1Formats"
            }
         },
         "required": [
            "formats"
         ],
         "title": "MethodExportModelContext1ExportModel",
         "type": "object"
      },
      "MethodExportModelContext1Formats": {
         "additionalProperties": false,
         "description": "Formats for surrogate model export",
         "properties": {
            "text_archive": {
               "anyOf": [
                  {
                     "const": true,
                     "type": "boolean"
                  },
                  {
                     "type": "null"
                  }
               ],
               "default": null,
               "description": "Surrogate model plain-text archive file format",
               "title": "Text Archive",
               "x-materialization": [
                  {
                     "ir_key": "method.model_export_format",
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                     "storage_type": "AUGMENT_ENUM",
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               ]
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            "binary_archive": {
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                  {
                     "const": true,
                     "type": "boolean"
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                  {
                     "type": "null"
                  }
               ],
               "default": null,
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               "title": "Binary Archive",
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                     "ir_key": "method.model_export_format",
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                     "storage_type": "AUGMENT_ENUM",
                     "stored_value": "BINARY_ARCHIVE"
                  }
               ]
            }
         },
         "title": "MethodExportModelContext1Formats",
         "type": "object"
      },
      "MethodExportModelContext1Mixin": {
         "additionalProperties": false,
         "description": "Generated model for MethodExportModelContext1Mixin",
         "properties": {
            "export_model": {
               "anyOf": [
                  {
                     "$ref": "#/$defs/MethodExportModelContext1ExportModel"
                  },
                  {
                     "type": "null"
                  }
               ],
               "default": null,
               "description": "Exports surrogate model in user-specified format(s)",
               "x-materialization": [
                  {
                     "ir_key": "method.export_surrogate",
                     "ir_value_type": "bool",
                     "storage_type": "PRESENCE_TRUE"
                  }
               ]
            }
         },
         "title": "MethodExportModelContext1Mixin",
         "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"
      },
      "ProbabilityLevelsContext2ProbabilityLevels": {
         "additionalProperties": false,
         "description": "Specify probability levels at which to estimate the corresponding response value",
         "properties": {
            "values": {
               "description": "Specify probability levels at which to estimate the corresponding response value",
               "items": {
                  "type": "number"
               },
               "title": "Values",
               "type": "array"
            },
            "num_probability_levels": {
               "anyOf": [
                  {
                     "items": {
                        "type": "integer"
                     },
                     "type": "array"
                  },
                  {
                     "type": "null"
                  }
               ],
               "default": null,
               "description": "Specify which ``probability_levels`` correspond to which response",
               "title": "Num Probability Levels"
            }
         },
         "required": [
            "values"
         ],
         "title": "ProbabilityLevelsContext2ProbabilityLevels",
         "type": "object",
         "x-model-validations": [
            {
               "validationContext": "probabilitylevelscontext2probabilitylevels",
               "validationErrorMessage": "For probabilitylevelscontext2probabilitylevels, all elements of values must be in [0, 1].",
               "validationFields": [
                  "values"
               ],
               "validationLiterals": [],
               "validationRuleName": "check_probability_list"
            },
            {
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               "validationFields": [
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                  "values"
               ],
               "validationLiterals": [],
               "validationRuleName": "check_sum_equals_length"
            }
         ]
      },
      "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",
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                     "ir_value_type": "short",
                     "storage_type": "PRESENCE_ENUM",
                     "stored_value": "QUIET_OUTPUT"
                  }
               ]
            }
         },
         "title": "Quiet",
         "type": "object"
      },
      "ResponseLevelsComputeProbGenContext1Compute": {
         "additionalProperties": false,
         "description": "Selection of statistics to compute at each response level",
         "properties": {
            "statistic": {
               "anchor": true,
               "anyOf": [
                  {
                     "$ref": "#/$defs/ResponseLevelsComputeProbGenContext1Probabilities"
                  },
                  {
                     "$ref": "#/$defs/ResponseLevelsComputeProbGenContext1GenReliabilities"
                  }
               ],
               "description": "Statistics to Compute",
               "title": "Statistic",
               "x-union-pattern": 4
            },
            "system": {
               "anyOf": [
                  {
                     "$ref": "#/$defs/ResponseLevelsComputeProbGenContext1SystemSeries"
                  },
                  {
                     "$ref": "#/$defs/ResponseLevelsComputeProbGenContext1SystemParallel"
                  },
                  {
                     "type": "null"
                  }
               ],
               "default": null,
               "description": "Compute system reliability (series or parallel)",
               "title": "System",
               "x-union-pattern": 2
            }
         },
         "required": [
            "statistic"
         ],
         "title": "ResponseLevelsComputeProbGenContext1Compute",
         "type": "object"
      },
      "ResponseLevelsComputeProbGenContext1GenReliabilities": {
         "additionalProperties": false,
         "description": "Computes generalized reliabilities associated with response levels",
         "properties": {
            "gen_reliabilities": {
               "const": true,
               "default": true,
               "description": "Computes generalized reliabilities associated with response levels",
               "title": "Gen Reliabilities",
               "type": "boolean",
               "x-materialization": [
                  {
                     "ir_key": "method.nond.response_level_target",
                     "ir_value_type": "short",
                     "storage_type": "PRESENCE_ENUM",
                     "stored_value": "GEN_RELIABILITIES"
                  }
               ]
            }
         },
         "title": "ResponseLevelsComputeProbGenContext1GenReliabilities",
         "type": "object"
      },
      "ResponseLevelsComputeProbGenContext1Probabilities": {
         "additionalProperties": false,
         "description": "Computes probabilities associated with response levels",
         "properties": {
            "probabilities": {
               "const": true,
               "default": true,
               "description": "Computes probabilities associated with response levels",
               "title": "Probabilities",
               "type": "boolean",
               "x-materialization": [
                  {
                     "ir_key": "method.nond.response_level_target",
                     "ir_value_type": "short",
                     "storage_type": "PRESENCE_ENUM",
                     "stored_value": "PROBABILITIES"
                  }
               ]
            }
         },
         "title": "ResponseLevelsComputeProbGenContext1Probabilities",
         "type": "object"
      },
      "ResponseLevelsComputeProbGenContext1ResponseLevels": {
         "additionalProperties": false,
         "description": "Values at which to estimate desired statistics for each response",
         "properties": {
            "values": {
               "description": "Values at which to estimate desired statistics for each response",
               "items": {
                  "type": "number"
               },
               "title": "Values",
               "type": "array"
            },
            "num_response_levels": {
               "anyOf": [
                  {
                     "items": {
                        "type": "integer"
                     },
                     "type": "array"
                  },
                  {
                     "type": "null"
                  }
               ],
               "default": null,
               "description": "Number of values at which to estimate desired statistics for each response",
               "title": "Num Response Levels"
            },
            "compute": {
               "anyOf": [
                  {
                     "$ref": "#/$defs/ResponseLevelsComputeProbGenContext1Compute"
                  },
                  {
                     "type": "null"
                  }
               ],
               "default": null,
               "description": "Selection of statistics to compute at each response level"
            }
         },
         "required": [
            "values"
         ],
         "title": "ResponseLevelsComputeProbGenContext1ResponseLevels",
         "type": "object",
         "x-model-validations": [
            {
               "validationContext": "responselevelscomputeprobgencontext1responselevels",
               "validationErrorMessage": "For responselevelscomputeprobgencontext1responselevels, sum of num_response_levels must equal length of values.",
               "validationFields": [
                  "num_response_levels",
                  "values"
               ],
               "validationLiterals": [],
               "validationRuleName": "check_sum_equals_length"
            }
         ]
      },
      "ResponseLevelsComputeProbGenContext1SystemParallel": {
         "additionalProperties": false,
         "description": "Aggregate response statistics assuming a parallel system",
         "properties": {
            "parallel": {
               "const": true,
               "default": true,
               "description": "Aggregate response statistics assuming a parallel system",
               "title": "Parallel",
               "type": "boolean",
               "x-materialization": [
                  {
                     "ir_key": "method.nond.response_level_target_reduce",
                     "ir_value_type": "short",
                     "storage_type": "PRESENCE_ENUM",
                     "stored_value": "SYSTEM_PARALLEL"
                  }
               ]
            }
         },
         "title": "ResponseLevelsComputeProbGenContext1SystemParallel",
         "type": "object"
      },
      "ResponseLevelsComputeProbGenContext1SystemSeries": {
         "additionalProperties": false,
         "description": "Aggregate response statistics assuming a series system",
         "properties": {
            "series": {
               "const": true,
               "default": true,
               "description": "Aggregate response statistics assuming a series system",
               "title": "Series",
               "type": "boolean",
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                     "ir_key": "method.nond.response_level_target_reduce",
                     "ir_value_type": "short",
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                     "stored_value": "SYSTEM_SERIES"
                  }
               ]
            }
         },
         "title": "ResponseLevelsComputeProbGenContext1SystemSeries",
         "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": [
                  {
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                     "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"
      },
      "UGP": {
         "additionalProperties": false,
         "description": "Create GP surrogate in u-space",
         "properties": {
            "u_gaussian_process": {
               "const": true,
               "default": true,
               "description": "Create GP surrogate in u-space",
               "title": "U Gaussian Process",
               "type": "boolean",
               "x-aliases": [
                  "u_kriging"
               ],
               "x-materialization": [
                  {
                     "ir_key": "method.sub_method",
                     "ir_value_type": "unsigned short",
                     "storage_type": "PRESENCE_ENUM",
                     "stored_value": "SUBMETHOD_EGRA_U"
                  }
               ]
            }
         },
         "title": "UGP",
         "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"
      },
      "XGP": {
         "additionalProperties": false,
         "description": "Create GP surrogate in x-space",
         "properties": {
            "x_gaussian_process": {
               "const": true,
               "default": true,
               "description": "Create GP surrogate in x-space",
               "title": "X Gaussian Process",
               "type": "boolean",
               "x-aliases": [
                  "x_kriging"
               ],
               "x-materialization": [
                  {
                     "ir_key": "method.sub_method",
                     "ir_value_type": "unsigned short",
                     "storage_type": "PRESENCE_ENUM",
                     "stored_value": "SUBMETHOD_EGRA_X"
                  }
               ]
            }
         },
         "title": "XGP",
         "type": "object"
      }
   },
   "additionalProperties": false,
   "required": [
      "global_reliability"
   ]
}

Fields:
field global_reliability: GlobalReliabilityConfig [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_reliability.GlobalReliabilityConfig

Global reliability methods

Show JSON schema
{
   "title": "GlobalReliabilityConfig",
   "description": "Global reliability methods",
   "type": "object",
   "properties": {
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         "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"
            }
         ]
      },
      "convergence_tolerance": {
         "default": -1.7976931348623157e+308,
         "description": "Stopping criterion based on objective function or statistics convergence",
         "title": "Convergence Tolerance",
         "type": "number",
         "x-materialization": [
            {
               "ir_key": "method.convergence_tolerance",
               "ir_value_type": "Real",
               "storage_type": "DIRECT_VALUE"
            },
            {
               "ir_key": "method.jega.percent_change",
               "ir_value_type": "Real",
               "storage_type": "DIRECT_VALUE"
            }
         ]
      },
      "max_iterations": {
         "default": 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"
            }
         ]
      },
      "response_levels": {
         "anyOf": [
            {
               "$ref": "#/$defs/ResponseLevelsComputeProbGenContext1ResponseLevels"
            },
            {
               "type": "null"
            }
         ],
         "argument": "values",
         "default": null,
         "description": "Values at which to estimate desired statistics for each response",
         "x-materialization": [
            {
               "ir_key": "method.nond.response_levels",
               "ir_value_type": "RealVectorArray",
               "storage_type": "RESPONSE_LEVELS_ARRAY"
            }
         ]
      },
      "probability_levels": {
         "anyOf": [
            {
               "$ref": "#/$defs/ProbabilityLevelsContext2ProbabilityLevels"
            },
            {
               "type": "null"
            }
         ],
         "argument": "values",
         "default": null,
         "description": "Specify probability levels at which to estimate the corresponding response value",
         "x-materialization": [
            {
               "ir_key": "method.nond.probability_levels",
               "ir_value_type": "RealVectorArray",
               "storage_type": "RESPONSE_LEVELS_ARRAY"
            }
         ]
      },
      "gen_reliability_levels": {
         "anyOf": [
            {
               "$ref": "#/$defs/GenReliabilityLevelsGenReliabilityLevels"
            },
            {
               "type": "null"
            }
         ],
         "argument": "values",
         "default": null,
         "description": "Specify generalized relability levels at which to estimate the corresponding response value",
         "x-materialization": [
            {
               "ir_key": "method.nond.gen_reliability_levels",
               "ir_value_type": "RealVectorArray",
               "storage_type": "RESPONSE_LEVELS_ARRAY"
            }
         ]
      },
      "distribution": {
         "anyOf": [
            {
               "$ref": "#/$defs/DistributionCumulComplContext1Cumulative"
            },
            {
               "$ref": "#/$defs/DistributionCumulComplContext1Complementary"
            }
         ],
         "description": "Selection of cumulative or complementary cumulative functions",
         "title": "Distribution",
         "x-model-default": "DistributionCumulComplContext1Cumulative",
         "x-union-pattern": 1
      },
      "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
      },
      "import_build_points_file": {
         "anyOf": [
            {
               "$ref": "#/$defs/ImportBuildImportBuildPointsFile"
            },
            {
               "type": "null"
            }
         ],
         "argument": "filename",
         "default": null,
         "description": "File containing points you wish to use to build a surrogate",
         "x-aliases": [
            "import_points_file"
         ]
      },
      "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"
            }
         ]
      },
      "initial_samples": {
         "default": 0,
         "description": "Initial number of samples for sampling-based methods",
         "title": "Initial Samples",
         "type": "integer",
         "x-materialization": [
            {
               "ir_key": "method.samples",
               "ir_value_type": "int",
               "storage_type": "DIRECT_VALUE"
            }
         ]
      },
      "space": {
         "anchor": true,
         "anyOf": [
            {
               "$ref": "#/$defs/XGP"
            },
            {
               "$ref": "#/$defs/UGP"
            }
         ],
         "description": "Approximation",
         "title": "Space",
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      },
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               "$ref": "#/$defs/GlobalReliabilityDakota"
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               "$ref": "#/$defs/GlobalReliabilityExperimental"
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               "$ref": "#/$defs/GlobalReliabilityExportApproxPointsFile"
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      "seed": {
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            {
               "exclusiveMinimum": 0,
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         ]
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         "additionalProperties": false,
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               "const": true,
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         "title": "GlobalReliabilitySurfpack",
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                     "$ref": "#/$defs/ImportBuildPointsFileAnnotated"
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         "title": "ImportBuildImportBuildPointsFile",
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                     "const": true,
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         "title": "Normal",
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                     "type": "array"
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               "default": null,
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         "required": [
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         "title": "ProbabilityLevelsContext2ProbabilityLevels",
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         "description": "Level 2 of 5 - less than normal",
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                  {
                     "ir_key": "method.output",
                     "ir_value_type": "short",
                     "storage_type": "PRESENCE_ENUM",
                     "stored_value": "QUIET_OUTPUT"
                  }
               ]
            }
         },
         "title": "Quiet",
         "type": "object"
      },
      "ResponseLevelsComputeProbGenContext1Compute": {
         "additionalProperties": false,
         "description": "Selection of statistics to compute at each response level",
         "properties": {
            "statistic": {
               "anchor": true,
               "anyOf": [
                  {
                     "$ref": "#/$defs/ResponseLevelsComputeProbGenContext1Probabilities"
                  },
                  {
                     "$ref": "#/$defs/ResponseLevelsComputeProbGenContext1GenReliabilities"
                  }
               ],
               "description": "Statistics to Compute",
               "title": "Statistic",
               "x-union-pattern": 4
            },
            "system": {
               "anyOf": [
                  {
                     "$ref": "#/$defs/ResponseLevelsComputeProbGenContext1SystemSeries"
                  },
                  {
                     "$ref": "#/$defs/ResponseLevelsComputeProbGenContext1SystemParallel"
                  },
                  {
                     "type": "null"
                  }
               ],
               "default": null,
               "description": "Compute system reliability (series or parallel)",
               "title": "System",
               "x-union-pattern": 2
            }
         },
         "required": [
            "statistic"
         ],
         "title": "ResponseLevelsComputeProbGenContext1Compute",
         "type": "object"
      },
      "ResponseLevelsComputeProbGenContext1GenReliabilities": {
         "additionalProperties": false,
         "description": "Computes generalized reliabilities associated with response levels",
         "properties": {
            "gen_reliabilities": {
               "const": true,
               "default": true,
               "description": "Computes generalized reliabilities associated with response levels",
               "title": "Gen Reliabilities",
               "type": "boolean",
               "x-materialization": [
                  {
                     "ir_key": "method.nond.response_level_target",
                     "ir_value_type": "short",
                     "storage_type": "PRESENCE_ENUM",
                     "stored_value": "GEN_RELIABILITIES"
                  }
               ]
            }
         },
         "title": "ResponseLevelsComputeProbGenContext1GenReliabilities",
         "type": "object"
      },
      "ResponseLevelsComputeProbGenContext1Probabilities": {
         "additionalProperties": false,
         "description": "Computes probabilities associated with response levels",
         "properties": {
            "probabilities": {
               "const": true,
               "default": true,
               "description": "Computes probabilities associated with response levels",
               "title": "Probabilities",
               "type": "boolean",
               "x-materialization": [
                  {
                     "ir_key": "method.nond.response_level_target",
                     "ir_value_type": "short",
                     "storage_type": "PRESENCE_ENUM",
                     "stored_value": "PROBABILITIES"
                  }
               ]
            }
         },
         "title": "ResponseLevelsComputeProbGenContext1Probabilities",
         "type": "object"
      },
      "ResponseLevelsComputeProbGenContext1ResponseLevels": {
         "additionalProperties": false,
         "description": "Values at which to estimate desired statistics for each response",
         "properties": {
            "values": {
               "description": "Values at which to estimate desired statistics for each response",
               "items": {
                  "type": "number"
               },
               "title": "Values",
               "type": "array"
            },
            "num_response_levels": {
               "anyOf": [
                  {
                     "items": {
                        "type": "integer"
                     },
                     "type": "array"
                  },
                  {
                     "type": "null"
                  }
               ],
               "default": null,
               "description": "Number of values at which to estimate desired statistics for each response",
               "title": "Num Response Levels"
            },
            "compute": {
               "anyOf": [
                  {
                     "$ref": "#/$defs/ResponseLevelsComputeProbGenContext1Compute"
                  },
                  {
                     "type": "null"
                  }
               ],
               "default": null,
               "description": "Selection of statistics to compute at each response level"
            }
         },
         "required": [
            "values"
         ],
         "title": "ResponseLevelsComputeProbGenContext1ResponseLevels",
         "type": "object",
         "x-model-validations": [
            {
               "validationContext": "responselevelscomputeprobgencontext1responselevels",
               "validationErrorMessage": "For responselevelscomputeprobgencontext1responselevels, sum of num_response_levels must equal length of values.",
               "validationFields": [
                  "num_response_levels",
                  "values"
               ],
               "validationLiterals": [],
               "validationRuleName": "check_sum_equals_length"
            }
         ]
      },
      "ResponseLevelsComputeProbGenContext1SystemParallel": {
         "additionalProperties": false,
         "description": "Aggregate response statistics assuming a parallel system",
         "properties": {
            "parallel": {
               "const": true,
               "default": true,
               "description": "Aggregate response statistics assuming a parallel system",
               "title": "Parallel",
               "type": "boolean",
               "x-materialization": [
                  {
                     "ir_key": "method.nond.response_level_target_reduce",
                     "ir_value_type": "short",
                     "storage_type": "PRESENCE_ENUM",
                     "stored_value": "SYSTEM_PARALLEL"
                  }
               ]
            }
         },
         "title": "ResponseLevelsComputeProbGenContext1SystemParallel",
         "type": "object"
      },
      "ResponseLevelsComputeProbGenContext1SystemSeries": {
         "additionalProperties": false,
         "description": "Aggregate response statistics assuming a series system",
         "properties": {
            "series": {
               "const": true,
               "default": true,
               "description": "Aggregate response statistics assuming a series system",
               "title": "Series",
               "type": "boolean",
               "x-materialization": [
                  {
                     "ir_key": "method.nond.response_level_target_reduce",
                     "ir_value_type": "short",
                     "storage_type": "PRESENCE_ENUM",
                     "stored_value": "SYSTEM_SERIES"
                  }
               ]
            }
         },
         "title": "ResponseLevelsComputeProbGenContext1SystemSeries",
         "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"
      },
      "UGP": {
         "additionalProperties": false,
         "description": "Create GP surrogate in u-space",
         "properties": {
            "u_gaussian_process": {
               "const": true,
               "default": true,
               "description": "Create GP surrogate in u-space",
               "title": "U Gaussian Process",
               "type": "boolean",
               "x-aliases": [
                  "u_kriging"
               ],
               "x-materialization": [
                  {
                     "ir_key": "method.sub_method",
                     "ir_value_type": "unsigned short",
                     "storage_type": "PRESENCE_ENUM",
                     "stored_value": "SUBMETHOD_EGRA_U"
                  }
               ]
            }
         },
         "title": "UGP",
         "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"
      },
      "XGP": {
         "additionalProperties": false,
         "description": "Create GP surrogate in x-space",
         "properties": {
            "x_gaussian_process": {
               "const": true,
               "default": true,
               "description": "Create GP surrogate in x-space",
               "title": "X Gaussian Process",
               "type": "boolean",
               "x-aliases": [
                  "x_kriging"
               ],
               "x-materialization": [
                  {
                     "ir_key": "method.sub_method",
                     "ir_value_type": "unsigned short",
                     "storage_type": "PRESENCE_ENUM",
                     "stored_value": "SUBMETHOD_EGRA_X"
                  }
               ]
            }
         },
         "title": "XGP",
         "type": "object"
      }
   },
   "additionalProperties": false,
   "required": [
      "space"
   ]
}

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 distribution: DistributionCumulComplContext1Cumulative | DistributionCumulComplContext1Complementary [Optional]

Selection of cumulative or complementary cumulative functions

field export_approx_points_file: GlobalReliabilityExportApproxPointsFile | None = None

Output file for surrogate model value evaluations

field final_solutions: int = 0

Number of designs returned as the best solutions

Constraints:
  • ge = 0

field gen_reliability_levels: GenReliabilityLevelsGenReliabilityLevels | None = None

Specify generalized relability levels at which to estimate the corresponding response value

field gp_implementation: GlobalReliabilitySurfpack | GlobalReliabilityDakota | GlobalReliabilityExperimental | None = None

GP Implementation

field id_method: str | None = None

Name the method block; helpful when there are multiple

field import_build_points_file: ImportBuildImportBuildPointsFile | None = None

File containing points you wish to use to build a surrogate

field initial_samples: int = 0

Initial number of samples for sampling-based methods

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 probability_levels: ProbabilityLevelsContext2ProbabilityLevels | None = None

Specify probability levels at which to estimate the corresponding response value

field response_levels: ResponseLevelsComputeProbGenContext1ResponseLevels | None = None

Values at which to estimate desired statistics for each response

field rng: RngOptionsContext2Mt19937 | RngOptionsContext2Rnum2 [Optional]

Selection of a random number generator

field seed: int | None = None

Seed of the random number generator

Constraints:
  • gt = 0

field space: XGP | UGP [Required]

Approximation

field use_derivatives: Literal[True] | None = None

Use derivative data to construct surrogate models

Generated Pydantic models for method.global_reliability

pydantic model dakota.spec.method.global_reliability.GlobalReliabilityDakota

Select the built in Gaussian Process surrogate

Show JSON schema
{
   "title": "GlobalReliabilityDakota",
   "description": "Select the built in Gaussian Process surrogate",
   "type": "object",
   "properties": {
      "dakota": {
         "const": true,
         "default": true,
         "description": "Select the built in Gaussian Process surrogate",
         "title": "Dakota",
         "type": "boolean",
         "x-materialization": [
            {
               "ir_key": "method.nond.emulator",
               "ir_value_type": "short",
               "storage_type": "PRESENCE_ENUM",
               "stored_value": "GP_EMULATOR"
            }
         ]
      }
   },
   "additionalProperties": false
}

Fields:
field dakota: Literal[True] = True

Select the built in Gaussian Process surrogate

pydantic model dakota.spec.method.global_reliability.GlobalReliabilityExperimental

Use the experimental Gaussian Process surrogate

Show JSON schema
{
   "title": "GlobalReliabilityExperimental",
   "description": "Use the experimental Gaussian Process surrogate",
   "type": "object",
   "properties": {
      "experimental": {
         "$ref": "#/$defs/GlobalReliabilityExperimentalConfig",
         "x-materialization": [
            {
               "ir_key": "method.nond.emulator",
               "ir_value_type": "short",
               "storage_type": "PRESENCE_ENUM",
               "stored_value": "EXPGP_EMULATOR"
            }
         ]
      }
   },
   "$defs": {
      "GlobalReliabilityExperimentalConfig": {
         "additionalProperties": false,
         "description": "Use the experimental Gaussian Process surrogate",
         "properties": {
            "export_model": {
               "anyOf": [
                  {
                     "$ref": "#/$defs/MethodExportModelContext1ExportModel"
                  },
                  {
                     "type": "null"
                  }
               ],
               "default": null,
               "description": "Exports surrogate model in user-specified format(s)",
               "x-materialization": [
                  {
                     "ir_key": "method.export_surrogate",
                     "ir_value_type": "bool",
                     "storage_type": "PRESENCE_TRUE"
                  }
               ]
            },
            "options_file": {
               "anyOf": [
                  {
                     "type": "string"
                  },
                  {
                     "type": "null"
                  }
               ],
               "default": null,
               "description": "Filename for a YAML file that specifies Gaussian process options",
               "title": "Options File",
               "x-materialization": [
                  {
                     "ir_key": "method.advanced_options_file",
                     "ir_value_type": "String",
                     "storage_type": "DIRECT_VALUE"
                  }
               ]
            }
         },
         "title": "GlobalReliabilityExperimentalConfig",
         "type": "object"
      },
      "MethodExportModelContext1ExportModel": {
         "additionalProperties": false,
         "description": "Exports surrogate model in user-specified format(s)",
         "properties": {
            "filename_prefix": {
               "default": "exported_surrogate",
               "description": "User-customizable portion of exported/imported surrogate model filenames",
               "title": "Filename Prefix",
               "type": "string",
               "x-materialization": [
                  {
                     "ir_key": "method.model_export_prefix",
                     "ir_value_type": "String",
                     "storage_type": "DIRECT_VALUE"
                  }
               ]
            },
            "formats": {
               "$ref": "#/$defs/MethodExportModelContext1Formats"
            }
         },
         "required": [
            "formats"
         ],
         "title": "MethodExportModelContext1ExportModel",
         "type": "object"
      },
      "MethodExportModelContext1Formats": {
         "additionalProperties": false,
         "description": "Formats for surrogate model export",
         "properties": {
            "text_archive": {
               "anyOf": [
                  {
                     "const": true,
                     "type": "boolean"
                  },
                  {
                     "type": "null"
                  }
               ],
               "default": null,
               "description": "Surrogate model plain-text archive file format",
               "title": "Text Archive",
               "x-materialization": [
                  {
                     "ir_key": "method.model_export_format",
                     "ir_value_type": "unsigned short",
                     "storage_type": "AUGMENT_ENUM",
                     "stored_value": "TEXT_ARCHIVE"
                  }
               ]
            },
            "binary_archive": {
               "anyOf": [
                  {
                     "const": true,
                     "type": "boolean"
                  },
                  {
                     "type": "null"
                  }
               ],
               "default": null,
               "description": "Surrogate model binary archive file format",
               "title": "Binary Archive",
               "x-materialization": [
                  {
                     "ir_key": "method.model_export_format",
                     "ir_value_type": "unsigned short",
                     "storage_type": "AUGMENT_ENUM",
                     "stored_value": "BINARY_ARCHIVE"
                  }
               ]
            }
         },
         "title": "MethodExportModelContext1Formats",
         "type": "object"
      }
   },
   "additionalProperties": false,
   "required": [
      "experimental"
   ]
}

Fields:
field experimental: GlobalReliabilityExperimentalConfig [Required]

Use the experimental Gaussian Process surrogate

pydantic model dakota.spec.method.global_reliability.GlobalReliabilityExperimentalConfig

Use the experimental Gaussian Process surrogate

Show JSON schema
{
   "title": "GlobalReliabilityExperimentalConfig",
   "description": "Use the experimental Gaussian Process surrogate",
   "type": "object",
   "properties": {
      "export_model": {
         "anyOf": [
            {
               "$ref": "#/$defs/MethodExportModelContext1ExportModel"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "description": "Exports surrogate model in user-specified format(s)",
         "x-materialization": [
            {
               "ir_key": "method.export_surrogate",
               "ir_value_type": "bool",
               "storage_type": "PRESENCE_TRUE"
            }
         ]
      },
      "options_file": {
         "anyOf": [
            {
               "type": "string"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "description": "Filename for a YAML file that specifies Gaussian process options",
         "title": "Options File",
         "x-materialization": [
            {
               "ir_key": "method.advanced_options_file",
               "ir_value_type": "String",
               "storage_type": "DIRECT_VALUE"
            }
         ]
      }
   },
   "$defs": {
      "MethodExportModelContext1ExportModel": {
         "additionalProperties": false,
         "description": "Exports surrogate model in user-specified format(s)",
         "properties": {
            "filename_prefix": {
               "default": "exported_surrogate",
               "description": "User-customizable portion of exported/imported surrogate model filenames",
               "title": "Filename Prefix",
               "type": "string",
               "x-materialization": [
                  {
                     "ir_key": "method.model_export_prefix",
                     "ir_value_type": "String",
                     "storage_type": "DIRECT_VALUE"
                  }
               ]
            },
            "formats": {
               "$ref": "#/$defs/MethodExportModelContext1Formats"
            }
         },
         "required": [
            "formats"
         ],
         "title": "MethodExportModelContext1ExportModel",
         "type": "object"
      },
      "MethodExportModelContext1Formats": {
         "additionalProperties": false,
         "description": "Formats for surrogate model export",
         "properties": {
            "text_archive": {
               "anyOf": [
                  {
                     "const": true,
                     "type": "boolean"
                  },
                  {
                     "type": "null"
                  }
               ],
               "default": null,
               "description": "Surrogate model plain-text archive file format",
               "title": "Text Archive",
               "x-materialization": [
                  {
                     "ir_key": "method.model_export_format",
                     "ir_value_type": "unsigned short",
                     "storage_type": "AUGMENT_ENUM",
                     "stored_value": "TEXT_ARCHIVE"
                  }
               ]
            },
            "binary_archive": {
               "anyOf": [
                  {
                     "const": true,
                     "type": "boolean"
                  },
                  {
                     "type": "null"
                  }
               ],
               "default": null,
               "description": "Surrogate model binary archive file format",
               "title": "Binary Archive",
               "x-materialization": [
                  {
                     "ir_key": "method.model_export_format",
                     "ir_value_type": "unsigned short",
                     "storage_type": "AUGMENT_ENUM",
                     "stored_value": "BINARY_ARCHIVE"
                  }
               ]
            }
         },
         "title": "MethodExportModelContext1Formats",
         "type": "object"
      }
   },
   "additionalProperties": false
}

Fields:
field export_model: MethodExportModelContext1ExportModel | None = None

Exports surrogate model in user-specified format(s)

field options_file: str | None = None

Filename for a YAML file that specifies Gaussian process options

pydantic model dakota.spec.method.global_reliability.GlobalReliabilityExportApproxPointsFile

Output file for surrogate model value evaluations

Show JSON schema
{
   "title": "GlobalReliabilityExportApproxPointsFile",
   "description": "Output file for surrogate model value evaluations",
   "type": "object",
   "properties": {
      "format": {
         "anchor": true,
         "anyOf": [
            {
               "$ref": "#/$defs/MethodExportApproxFormatCustomAnnotated"
            },
            {
               "$ref": "#/$defs/MethodExportApproxFormatAnnotated"
            },
            {
               "$ref": "#/$defs/MethodExportApproxFormatFreeform"
            }
         ],
         "description": "Tabular Format",
         "title": "Format",
         "x-model-default": "MethodExportApproxFormatAnnotated",
         "x-union-pattern": 1
      },
      "filename": {
         "description": "Output file for surrogate model value evaluations",
         "title": "Filename",
         "type": "string",
         "x-materialization": [
            {
               "ir_key": "method.export_approx_points_file",
               "ir_value_type": "String",
               "storage_type": "DIRECT_VALUE"
            }
         ]
      }
   },
   "$defs": {
      "MethodExportApproxFormatAnnotated": {
         "additionalProperties": false,
         "description": "Selects annotated tabular file format",
         "properties": {
            "annotated": {
               "const": true,
               "default": true,
               "description": "Selects annotated tabular file format",
               "title": "Annotated",
               "type": "boolean",
               "x-materialization": [
                  {
                     "ir_key": "method.export_approx_format",
                     "ir_value_type": "unsigned short",
                     "storage_type": "PRESENCE_ENUM",
                     "stored_value": "TABULAR_ANNOTATED"
                  }
               ]
            }
         },
         "title": "MethodExportApproxFormatAnnotated",
         "type": "object"
      },
      "MethodExportApproxFormatCustomAnnotated": {
         "additionalProperties": false,
         "description": "Selects custom-annotated tabular file format",
         "properties": {
            "custom_annotated": {
               "$ref": "#/$defs/MethodExportApproxFormatCustomAnnotatedConfig",
               "x-materialization": [
                  {
                     "ir_key": "method.export_approx_format",
                     "ir_value_type": "unsigned short",
                     "storage_type": "PRESENCE_ENUM",
                     "stored_value": "TABULAR_NONE"
                  }
               ],
               "x-model-default": "MethodExportApproxFormatCustomAnnotatedConfig"
            }
         },
         "title": "MethodExportApproxFormatCustomAnnotated",
         "type": "object"
      },
      "MethodExportApproxFormatCustomAnnotatedConfig": {
         "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.export_approx_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.export_approx_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.export_approx_format",
                     "ir_value_type": "unsigned short",
                     "storage_type": "AUGMENT_ENUM",
                     "stored_value": "TABULAR_IFACE_ID"
                  }
               ]
            }
         },
         "title": "MethodExportApproxFormatCustomAnnotatedConfig",
         "type": "object"
      },
      "MethodExportApproxFormatFreeform": {
         "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.export_approx_format",
                     "ir_value_type": "unsigned short",
                     "storage_type": "PRESENCE_ENUM",
                     "stored_value": "TABULAR_NONE"
                  }
               ]
            }
         },
         "title": "MethodExportApproxFormatFreeform",
         "type": "object"
      }
   },
   "additionalProperties": false,
   "required": [
      "filename"
   ]
}

Fields:
field filename: str [Required]

Output file for surrogate model value evaluations

field format: MethodExportApproxFormatCustomAnnotated | MethodExportApproxFormatAnnotated | MethodExportApproxFormatFreeform [Optional]

Tabular Format

pydantic model dakota.spec.method.global_reliability.GlobalReliabilitySurfpack

Use the Surfpack version of Gaussian Process surrogates

Show JSON schema
{
   "title": "GlobalReliabilitySurfpack",
   "description": "Use the Surfpack version of Gaussian Process surrogates",
   "type": "object",
   "properties": {
      "surfpack": {
         "$ref": "#/$defs/MethodExportModelContext1Mixin",
         "description": "Use the Surfpack version of Gaussian Process surrogates",
         "x-materialization": [
            {
               "ir_key": "method.nond.emulator",
               "ir_value_type": "short",
               "storage_type": "PRESENCE_ENUM",
               "stored_value": "KRIGING_EMULATOR"
            }
         ]
      }
   },
   "$defs": {
      "MethodExportModelContext1ExportModel": {
         "additionalProperties": false,
         "description": "Exports surrogate model in user-specified format(s)",
         "properties": {
            "filename_prefix": {
               "default": "exported_surrogate",
               "description": "User-customizable portion of exported/imported surrogate model filenames",
               "title": "Filename Prefix",
               "type": "string",
               "x-materialization": [
                  {
                     "ir_key": "method.model_export_prefix",
                     "ir_value_type": "String",
                     "storage_type": "DIRECT_VALUE"
                  }
               ]
            },
            "formats": {
               "$ref": "#/$defs/MethodExportModelContext1Formats"
            }
         },
         "required": [
            "formats"
         ],
         "title": "MethodExportModelContext1ExportModel",
         "type": "object"
      },
      "MethodExportModelContext1Formats": {
         "additionalProperties": false,
         "description": "Formats for surrogate model export",
         "properties": {
            "text_archive": {
               "anyOf": [
                  {
                     "const": true,
                     "type": "boolean"
                  },
                  {
                     "type": "null"
                  }
               ],
               "default": null,
               "description": "Surrogate model plain-text archive file format",
               "title": "Text Archive",
               "x-materialization": [
                  {
                     "ir_key": "method.model_export_format",
                     "ir_value_type": "unsigned short",
                     "storage_type": "AUGMENT_ENUM",
                     "stored_value": "TEXT_ARCHIVE"
                  }
               ]
            },
            "binary_archive": {
               "anyOf": [
                  {
                     "const": true,
                     "type": "boolean"
                  },
                  {
                     "type": "null"
                  }
               ],
               "default": null,
               "description": "Surrogate model binary archive file format",
               "title": "Binary Archive",
               "x-materialization": [
                  {
                     "ir_key": "method.model_export_format",
                     "ir_value_type": "unsigned short",
                     "storage_type": "AUGMENT_ENUM",
                     "stored_value": "BINARY_ARCHIVE"
                  }
               ]
            }
         },
         "title": "MethodExportModelContext1Formats",
         "type": "object"
      },
      "MethodExportModelContext1Mixin": {
         "additionalProperties": false,
         "description": "Generated model for MethodExportModelContext1Mixin",
         "properties": {
            "export_model": {
               "anyOf": [
                  {
                     "$ref": "#/$defs/MethodExportModelContext1ExportModel"
                  },
                  {
                     "type": "null"
                  }
               ],
               "default": null,
               "description": "Exports surrogate model in user-specified format(s)",
               "x-materialization": [
                  {
                     "ir_key": "method.export_surrogate",
                     "ir_value_type": "bool",
                     "storage_type": "PRESENCE_TRUE"
                  }
               ]
            }
         },
         "title": "MethodExportModelContext1Mixin",
         "type": "object"
      }
   },
   "additionalProperties": false,
   "required": [
      "surfpack"
   ]
}

Fields:
field surfpack: MethodExportModelContext1Mixin [Required]

Use the Surfpack version of Gaussian Process surrogates

pydantic model dakota.spec.method.global_reliability.UGP

Create GP surrogate in u-space

Show JSON schema
{
   "title": "UGP",
   "description": "Create GP surrogate in u-space",
   "type": "object",
   "properties": {
      "u_gaussian_process": {
         "const": true,
         "default": true,
         "description": "Create GP surrogate in u-space",
         "title": "U Gaussian Process",
         "type": "boolean",
         "x-aliases": [
            "u_kriging"
         ],
         "x-materialization": [
            {
               "ir_key": "method.sub_method",
               "ir_value_type": "unsigned short",
               "storage_type": "PRESENCE_ENUM",
               "stored_value": "SUBMETHOD_EGRA_U"
            }
         ]
      }
   },
   "additionalProperties": false
}

Fields:
field u_gaussian_process: Literal[True] = True

Create GP surrogate in u-space

pydantic model dakota.spec.method.global_reliability.XGP

Create GP surrogate in x-space

Show JSON schema
{
   "title": "XGP",
   "description": "Create GP surrogate in x-space",
   "type": "object",
   "properties": {
      "x_gaussian_process": {
         "const": true,
         "default": true,
         "description": "Create GP surrogate in x-space",
         "title": "X Gaussian Process",
         "type": "boolean",
         "x-aliases": [
            "x_kriging"
         ],
         "x-materialization": [
            {
               "ir_key": "method.sub_method",
               "ir_value_type": "unsigned short",
               "storage_type": "PRESENCE_ENUM",
               "stored_value": "SUBMETHOD_EGRA_X"
            }
         ]
      }
   },
   "additionalProperties": false
}

Fields:
field x_gaussian_process: Literal[True] = True

Create GP surrogate in x-space