Class Metadata

Defines properties of each model metadata.

Inheritance
object
Metadata
Inherited Members
Namespace: Oci.DatascienceService.Models
Assembly: OCI.DotNetSDK.Datascience.dll
Syntax
public class Metadata

Properties

Category

Declaration
[JsonProperty(PropertyName = "category")]
public string Category { get; set; }
Property Value
Type 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,Reports,Readme,other".

Description

Declaration
[JsonProperty(PropertyName = "description")]
public string Description { get; set; }
Property Value
Type Description
string

Description of model metadata

HasArtifact

Declaration
[JsonProperty(PropertyName = "hasArtifact")]
public bool? HasArtifact { get; set; }
Property Value
Type Description
bool?

Is there any artifact present for the metadata.

Key

Declaration
[JsonProperty(PropertyName = "key")]
public string Key { get; set; }
Property Value
Type Description
string

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

Keywords

Declaration
[JsonProperty(PropertyName = "keywords")]
public List<string> Keywords { get; set; }
Property Value
Type Description
List<string>

list of keywords for searching

Value

Declaration
[JsonProperty(PropertyName = "value")]
public string Value { get; set; }
Property Value
Type Description
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
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