Class Metadata


  • @Generated(value="OracleSDKGenerator",
               comments="API Version: 20190101")
    public final class Metadata
    extends com.oracle.bmc.http.client.internal.ExplicitlySetBmcModel
    Defines properties of each model metadata.
    Note: Objects should always be created or deserialized using the Metadata.Builder. This model distinguishes fields that are null because they are unset from fields that are explicitly set to null. This is done in the setter methods of the Metadata.Builder, which maintain a set of all explicitly set fields called Metadata.Builder.__explicitlySet__. The hashCode() and equals(Object) methods are implemented to take the explicitly set fields into account. The constructor, on the other hand, does not take the explicitly set fields into account (since the constructor cannot distinguish explicit null from unset null).
    • Nested Class Summary

      Nested Classes 
      Modifier and Type Class Description
      static class  Metadata.Builder  
    • Field Summary

      • Fields inherited from class com.oracle.bmc.http.client.internal.ExplicitlySetBmcModel

        EXPLICITLY_SET_FILTER_NAME, EXPLICITLY_SET_PROPERTY_NAME
    • Method Detail

      • getKey

        public String getKey()
        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 * fineTuningConfiguration * deploymentConfiguration * readme * license
        • evaluationConfiguration
        Returns:
        the value
      • getValue

        public String getValue()
        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

        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

        Returns:
        the value
      • getDescription

        public String getDescription()
        Description of model metadata
        Returns:
        the value
      • getCategory

        public String getCategory()
        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,Reports,Readme,other”.
        Returns:
        the value
      • getKeywords

        public List<String> getKeywords()
        list of keywords for searching
        Returns:
        the value
      • getHasArtifact

        public Boolean getHasArtifact()
        Is there any artifact present for the metadata.
        Returns:
        the value
      • toString

        public String toString()
        Overrides:
        toString in class com.oracle.bmc.http.client.internal.ExplicitlySetBmcModel
      • toString

        public String toString​(boolean includeByteArrayContents)
        Return a string representation of the object.
        Parameters:
        includeByteArrayContents - true to include the full contents of byte arrays
        Returns:
        string representation
      • equals

        public boolean equals​(Object o)
        Overrides:
        equals in class com.oracle.bmc.http.client.internal.ExplicitlySetBmcModel
      • hashCode

        public int hashCode()
        Overrides:
        hashCode in class com.oracle.bmc.http.client.internal.ExplicitlySetBmcModel