> ## Documentation Index > Fetch the complete documentation index at: https://docs.domino.ai/llms.txt > Use this file to discover all available pages before exploring further. # Dataset registration to a model. ## OpenAPI ````yaml /api-specs/6.3/dmm.yaml put /model-monitor/v2/api/model/{model_id}/register-dataset/{dataset_type} openapi: 3.0.3 info: title: Domino Model Monitor API description: The API for programmatic access to Domino Model Monitor. version: 1.0.1 servers: [] security: [] tags: - name: DatasetJob description: All Dataset Job related operations. - name: DataSource description: All data source related operations. - name: Model description: All Model related operations. - name: ModelTag description: Operations related to the management of model tags. - name: ModelDrift description: All Model drift related operations. - name: ModelQuality description: All Model quality related operations. - name: Workbench description: All Workbench related operations. - name: DefaultSettings description: Operations related to drift and model quality defaults setting in DMM. - name: UserSettings description: Operations related to configuring user related settings for DMM. - name: Notification description: >- Operations related to configuring notification channel config and alert recipients for the model. - name: Other description: Other miscellaneous operations. - name: Scheduler description: All scheduler related operations paths: /model-monitor/v2/api/model/{model_id}/register-dataset/{dataset_type}: summary: Dataset registration to a model. put: tags: - Model summary: Dataset registration to a model. operationId: registerDatasetConfig parameters: - in: path name: model_id required: true schema: type: string - in: path name: dataset_type required: true schema: type: string enum: - prediction - ground_truth requestBody: required: true description: '' content: application/json: schema: $ref: '#/components/schemas/datasetRegistrationConfigRequest' responses: '200': description: Successfully registered dataset to the Model. '400': description: Bad request input data. '403': description: Forbidden. The endpoint enforces permissions. '405': description: Method not allowed. '500': description: Internal server error, check server logs. security: - DominoApiKeyAuth: [] - DmmApiKeyAuth: [] - cookieAuth: [] components: schemas: datasetRegistrationConfigRequest: title: Model Registration Config description: Config to be used to register a model with DMM. type: object required: - datasetDetails properties: variables: type: array items: $ref: '#/components/schemas/variableConfigRegistrationRequest' datasetDetails: $ref: '#/components/schemas/datasetConfigRegistrationRequest' run_cohort_analysis: type: boolean variableConfigRegistrationRequest: title: Variable Config Registration description: Variable config to configure a variable of a model. type: object required: - name - valueType - variableType properties: name: description: Name of the variable. type: string valueType: $ref: '#/components/schemas/valueType' variableType: $ref: '#/components/schemas/variableType' binsCategories: description: Bin categories to be used for a categorical typed variable. type: array items: type: string binsEdges: description: Bin Edges to be used for a numerical typed variable. type: array items: type: number binsNum: $ref: '#/components/schemas/binCount' binsEstimatorMethod: $ref: '#/components/schemas/binsEstimatorMethod' featureImportance: description: Feature Importance for a feature variable. type: number precomputedBinCounts: description: Precomputed counts for bins. type: array items: type: integer predictionProbabilityLabels: description: Labels for the prediction probabilities. type: array items: type: string forPredictionOutput: description: Corresponding prediction variable name, for the given variable. type: string datasetConfigRegistrationRequest: title: Dataset Config Registration description: Config for the dataset to be registered with the model. type: object required: - name - datasetType - datasetConfig - datasourceName - datasourceType properties: name: description: Name of the dataset. type: string datasetType: description: Type of the dataset. type: string enum: - file datasetConfig: $ref: '#/components/schemas/datasetConfig' datasourceName: description: Name of the datasource to which the dataset belongs. type: string datasourceType: $ref: '#/components/schemas/datasourceType' featureSetId: description: The version id for the current feature set version. type: string featureSetVersionId: description: >- The feature set id of the feature set to which the current feature set version belongs to. type: string valueType: description: Type of data the variable has. type: string enum: - categorical - numerical - string - datetime variableType: description: Variable type. type: string enum: - feature - prediction - row_identifier - timestamp - ground_truth - sample_weight - prediction_probability binCount: description: Number of bins to be determined (for training datasets) type: integer binsEstimatorMethod: description: Estimator method to be used to determine the number of bins. type: string enum: - auto - doane - fd - rice - scott - sqrt - sturges datasetConfig: type: object description: Config for the dataset. required: - path - fileFormat properties: path: description: Path to the dataset in the datasource. type: string fileFormat: $ref: '#/components/schemas/fileFormat' datasourceType: description: Type of the datasource to which the dataset belongs. type: string enum: - s3 - generic_s3 - azure_blob - azure_data_lake_gen_2 - google_cloud_storage - azure_data_lake_gen_1 - hdfs - nfs - snowflake fileFormat: description: Format of the file. type: string enum: - csv - parquet - snowflake securitySchemes: DominoApiKeyAuth: type: apiKey in: header name: X-Domino-Api-Key DmmApiKeyAuth: type: apiKey in: header name: X-DMM-API-KEY cookieAuth: type: apiKey in: cookie name: PLAY_SESSION ````