Package com.oracle.bmc.aivision.model
Class Model
- java.lang.Object
- 
- com.oracle.bmc.http.client.internal.ExplicitlySetBmcModel
- 
- com.oracle.bmc.aivision.model.Model
 
 
- 
 @Generated(value="OracleSDKGenerator", comments="API Version: 20220125") public final class Model extends com.oracle.bmc.http.client.internal.ExplicitlySetBmcModelMachine-learned Model.
 Note: Objects should always be created or deserialized using theModel.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 theModel.Builder, which maintain a set of all explicitly set fields calledModel.Builder.__explicitlySet__. ThehashCode()andequals(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 SummaryNested Classes Modifier and Type Class Description static classModel.Builderstatic classModel.LifecycleStateThe current state of the model.static classModel.ModelTypeWhat type of Vision model this is.
 - 
Constructor SummaryConstructors Constructor Description Model(String id, String displayName, String description, String compartmentId, Model.ModelType modelType, Boolean isQuickMode, Double maxTrainingDurationInHours, Double trainedDurationInHours, Dataset trainingDataset, Dataset testingDataset, Dataset validationDataset, String modelVersion, String projectId, Date timeCreated, Date timeUpdated, Model.LifecycleState lifecycleState, String lifecycleDetails, Float precision, Float recall, Float averagePrecision, Float confidenceThreshold, Integer totalImageCount, Integer testImageCount, String metrics, Map<String,String> freeformTags, Map<String,Map<String,Object>> definedTags, Map<String,Map<String,Object>> systemTags)Deprecated.
 - 
Method SummaryAll Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description static Model.Builderbuilder()Create a new builder.booleanequals(Object o)FloatgetAveragePrecision()The mean average precision of the trained model.StringgetCompartmentId()The compartment identifier.FloatgetConfidenceThreshold()The intersection over the union threshold used for calculating precision and recall.Map<String,Map<String,Object>>getDefinedTags()Defined tags for this resource.StringgetDescription()An optional description of the model.StringgetDisplayName()A human-friendly name for the model, which can be changed.Map<String,String>getFreeformTags()A simple key-value pair that is applied without any predefined name, type, or scope.StringgetId()A unique identifier that is immutable after creation.BooleangetIsQuickMode()Set to true when experimenting with a new model type or dataset, so model training is quick, with a predefined low number of passes through the training data.StringgetLifecycleDetails()A message describing the current state in more detail, that can provide actionable information if training failed.Model.LifecycleStategetLifecycleState()The current state of the model.DoublegetMaxTrainingDurationInHours()The maximum model training duration in hours, expressed as a decimal fraction.StringgetMetrics()The complete set of per-label metrics for successfully trained models.Model.ModelTypegetModelType()What type of Vision model this is.StringgetModelVersion()The version of the model.FloatgetPrecision()The precision of the trained model.StringgetProjectId()The OCID of the project that contains the model.FloatgetRecall()Recall of the trained model.Map<String,Map<String,Object>>getSystemTags()Usage of system tag keys.IntegergetTestImageCount()The number of images set aside for evaluating model performance metrics after training.DatasetgetTestingDataset()DategetTimeCreated()When the model was created, as an RFC3339 datetime string.DategetTimeUpdated()When the model was updated, as an RFC3339 datetime string.IntegergetTotalImageCount()The number of images in the dataset used to train, validate, and test the model.DoublegetTrainedDurationInHours()The total hours actually used for model training.DatasetgetTrainingDataset()DatasetgetValidationDataset()inthashCode()Model.BuildertoBuilder()StringtoString()StringtoString(boolean includeByteArrayContents)Return a string representation of the object.
 
- 
- 
- 
Constructor Detail- 
Model@Deprecated @ConstructorProperties({"id","displayName","description","compartmentId","modelType","isQuickMode","maxTrainingDurationInHours","trainedDurationInHours","trainingDataset","testingDataset","validationDataset","modelVersion","projectId","timeCreated","timeUpdated","lifecycleState","lifecycleDetails","precision","recall","averagePrecision","confidenceThreshold","totalImageCount","testImageCount","metrics","freeformTags","definedTags","systemTags"}) public Model(String id, String displayName, String description, String compartmentId, Model.ModelType modelType, Boolean isQuickMode, Double maxTrainingDurationInHours, Double trainedDurationInHours, Dataset trainingDataset, Dataset testingDataset, Dataset validationDataset, String modelVersion, String projectId, Date timeCreated, Date timeUpdated, Model.LifecycleState lifecycleState, String lifecycleDetails, Float precision, Float recall, Float averagePrecision, Float confidenceThreshold, Integer totalImageCount, Integer testImageCount, String metrics, Map<String,String> freeformTags, Map<String,Map<String,Object>> definedTags, Map<String,Map<String,Object>> systemTags) Deprecated.
 
- 
 - 
Method Detail- 
builderpublic static Model.Builder builder() Create a new builder.
 - 
toBuilderpublic Model.Builder toBuilder() 
 - 
getIdpublic String getId() A unique identifier that is immutable after creation.- Returns:
- the value
 
 - 
getDisplayNamepublic String getDisplayName() A human-friendly name for the model, which can be changed.- Returns:
- the value
 
 - 
getDescriptionpublic String getDescription() An optional description of the model.- Returns:
- the value
 
 - 
getCompartmentIdpublic String getCompartmentId() The compartment identifier.- Returns:
- the value
 
 - 
getModelTypepublic Model.ModelType getModelType() What type of Vision model this is.- Returns:
- the value
 
 - 
getIsQuickModepublic Boolean getIsQuickMode() Set to true when experimenting with a new model type or dataset, so model training is quick, with a predefined low number of passes through the training data.- Returns:
- the value
 
 - 
getMaxTrainingDurationInHourspublic Double getMaxTrainingDurationInHours() The maximum model training duration in hours, expressed as a decimal fraction.- Returns:
- the value
 
 - 
getTrainedDurationInHourspublic Double getTrainedDurationInHours() The total hours actually used for model training.- Returns:
- the value
 
 - 
getTrainingDatasetpublic Dataset getTrainingDataset() 
 - 
getTestingDatasetpublic Dataset getTestingDataset() 
 - 
getValidationDatasetpublic Dataset getValidationDataset() 
 - 
getModelVersionpublic String getModelVersion() The version of the model.- Returns:
- the value
 
 - 
getProjectIdpublic String getProjectId() The OCID of the project that contains the model.- Returns:
- the value
 
 - 
getTimeCreatedpublic Date getTimeCreated() When the model was created, as an RFC3339 datetime string.- Returns:
- the value
 
 - 
getTimeUpdatedpublic Date getTimeUpdated() When the model was updated, as an RFC3339 datetime string.- Returns:
- the value
 
 - 
getLifecycleStatepublic Model.LifecycleState getLifecycleState() The current state of the model.- Returns:
- the value
 
 - 
getLifecycleDetailspublic String getLifecycleDetails() A message describing the current state in more detail, that can provide actionable information if training failed.- Returns:
- the value
 
 - 
getPrecisionpublic Float getPrecision() The precision of the trained model.- Returns:
- the value
 
 - 
getRecallpublic Float getRecall() Recall of the trained model.- Returns:
- the value
 
 - 
getAveragePrecisionpublic Float getAveragePrecision() The mean average precision of the trained model.- Returns:
- the value
 
 - 
getConfidenceThresholdpublic Float getConfidenceThreshold() The intersection over the union threshold used for calculating precision and recall.- Returns:
- the value
 
 - 
getTotalImageCountpublic Integer getTotalImageCount() The number of images in the dataset used to train, validate, and test the model.- Returns:
- the value
 
 - 
getTestImageCountpublic Integer getTestImageCount() The number of images set aside for evaluating model performance metrics after training.- Returns:
- the value
 
 - 
getMetricspublic String getMetrics() The complete set of per-label metrics for successfully trained models.- Returns:
- the value
 
 - 
getFreeformTagspublic Map<String,String> getFreeformTags() A simple key-value pair that is applied without any predefined name, type, or scope.It exists for cross-compatibility only. For example: {“bar-key”: “value”} - Returns:
- the value
 
 - 
getDefinedTagspublic Map<String,Map<String,Object>> getDefinedTags() Defined tags for this resource.Each key is predefined and scoped to a namespace. For example: {“foo-namespace”: {“bar-key”: “value”}} - Returns:
- the value
 
 - 
getSystemTagspublic Map<String,Map<String,Object>> getSystemTags() Usage of system tag keys.These predefined keys are scoped to namespaces. For example: {“orcl-cloud”: {“free-tier-retained”: “true”}} - Returns:
- the value
 
 - 
toStringpublic String toString() - Overrides:
- toStringin class- com.oracle.bmc.http.client.internal.ExplicitlySetBmcModel
 
 - 
toStringpublic 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
 
 - 
equalspublic boolean equals(Object o) - Overrides:
- equalsin class- com.oracle.bmc.http.client.internal.ExplicitlySetBmcModel
 
 - 
hashCodepublic int hashCode() - Overrides:
- hashCodein class- com.oracle.bmc.http.client.internal.ExplicitlySetBmcModel
 
 
- 
 
-