/**
 * Data Science API
 * Use the Data Science API to organize your data science work, access data and computing resources, and build, train, deploy and manage models and model deployments. For more information, see [Data Science](https://docs.oracle.com/iaas/data-science/using/data-science.htm).

 * OpenAPI spec version: 20190101
 *
 *
 * NOTE: This class is auto generated by OracleSDKGenerator.
 * Do not edit the class manually.
 *
 * Copyright (c) 2020, 2022, Oracle and/or its affiliates.  All rights reserved.
 * This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license.
 */ import * as model from "../model" ; import common = require ( "oci-common" ) ; /**
 * Defines properties of each model metadata.
 */ export interface Metadata { /**
     * Key of the model Metadata. The key can either be user defined or OCI defined.
     *    List of OCI defined keys:
     *          * useCaseType
     *          * libraryName
     *          * libraryVersion
     *          * estimatorClass
     *          * hyperParameters
     *          * testartifactresults
     *
     */ "key" ? : string ; /**
      * Allowed values for useCaseType:
  *              binary_classification, regression, multinomial_classification, clustering, recommender,
  *              dimensionality_reduction/representation, time_series_forecasting, anomaly_detection,
  *              topic_modeling, ner, sentiment_analysis, image_classification, object_localization, other
  * <p>
  Allowed values for libraryName:
  *              scikit-learn, xgboost, tensorflow, pytorch, mxnet, keras, lightGBM, pymc3, pyOD, spacy,
  *              prophet, sktime, statsmodels, cuml, oracle_automl, h2o, transformers, nltk, emcee, pystan,
  *              bert, gensim, flair, word2vec, ensemble, other
  *
      */ "value" ? : string ; /**
     * Description of model metadata
     */ "description" ? : string ; /**
     * Category of model metadata which should be null for defined metadata.For custom metadata is should be one of the following values \"Performance,Training Profile,Training and Validation Datasets,Training Environment,other\".
     */ "category" ? : string ; } export namespace Metadata { export function getJsonObj ( obj ) { const jsonObj = { ... obj , ... { } } ; return jsonObj ; } export function getDeserializedJsonObj ( obj ) { const jsonObj = { ... obj , ... { } } ; return jsonObj ; } }