com.oracle.bmc.datascience.model

Class Metadata.Builder

java.lang.Object

com.oracle.bmc.datascience.model.Metadata.Builder

Enclosing class:

Metadata

public static class Metadata.Builder
extends Object

Constructor Summary

Constructors

Constructor and Description
Builder()

Method Summary

Modifier and Type	Method and Description
Metadata	build()
Metadata.Builder	category(String category) 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”.
Metadata.Builder	copy(Metadata model)
Metadata.Builder	description(String description) Description of model metadata
Metadata.Builder	key(String key) Key of the model Metadata.
Metadata.Builder	value(String value) 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

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Builder

public Builder()

Method Detail

key

public Metadata.Builder key(String key)

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

Parameters:

key - the value to set

Returns:

this builder

value

public Metadata.Builder value(String value)

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

Parameters:

value - the value to set

Returns:

this builder

description

public Metadata.Builder description(String description)

Description of model metadata

Parameters:

description - the value to set

Returns:

this builder

category

public Metadata.Builder category(String category)

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”.

Parameters:

category - the value to set

Returns:

this builder

build

public Metadata build()

copy

public Metadata.Builder copy(Metadata model)