@Generated(value="OracleSDKGenerator",
comments="API Version: 20220125")
public final class Model
extends com.oracle.bmc.http.client.internal.ExplicitlySetBmcModel
Machine-learned Model.
Note: Objects should always be created or deserialized using the Model.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 Model.Builder, which maintain a
set of all explicitly set fields called Model.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).
| Modifier and Type | Class and Description |
|---|---|
static class |
Model.Builder |
static class |
Model.LifecycleState
The current state of the model.
|
static class |
Model.ModelType
What type of Vision model this is.
|
EXPLICITLY_SET_FILTER_NAME, EXPLICITLY_SET_PROPERTY_NAME| Constructor and 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.
|
| Modifier and Type | Method and Description |
|---|---|
static Model.Builder |
builder()
Create a new builder.
|
boolean |
equals(Object o) |
Float |
getAveragePrecision()
The mean average precision of the trained model.
|
String |
getCompartmentId()
The compartment identifier.
|
Float |
getConfidenceThreshold()
The intersection over the union threshold used for calculating precision and recall.
|
Map<String,Map<String,Object>> |
getDefinedTags()
Defined tags for this resource.
|
String |
getDescription()
An optional description of the model.
|
String |
getDisplayName()
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.
|
String |
getId()
A unique identifier that is immutable after creation.
|
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.
|
String |
getLifecycleDetails()
A message describing the current state in more detail, that can provide actionable
information if training failed.
|
Model.LifecycleState |
getLifecycleState()
The current state of the model.
|
Double |
getMaxTrainingDurationInHours()
The maximum model training duration in hours, expressed as a decimal fraction.
|
String |
getMetrics()
The complete set of per-label metrics for successfully trained models.
|
Model.ModelType |
getModelType()
What type of Vision model this is.
|
String |
getModelVersion()
The version of the model.
|
Float |
getPrecision()
The precision of the trained model.
|
String |
getProjectId()
The OCID of
the project that contains the model.
|
Float |
getRecall()
Recall of the trained model.
|
Map<String,Map<String,Object>> |
getSystemTags()
Usage of system tag keys.
|
Integer |
getTestImageCount()
The number of images set aside for evaluating model performance metrics after training.
|
Dataset |
getTestingDataset() |
Date |
getTimeCreated()
When the model was created, as an RFC3339 datetime string.
|
Date |
getTimeUpdated()
When the model was updated, as an RFC3339 datetime string.
|
Integer |
getTotalImageCount()
The number of images in the dataset used to train, validate, and test the model.
|
Double |
getTrainedDurationInHours()
The total hours actually used for model training.
|
Dataset |
getTrainingDataset() |
Dataset |
getValidationDataset() |
int |
hashCode() |
Model.Builder |
toBuilder() |
String |
toString() |
String |
toString(boolean includeByteArrayContents)
Return a string representation of the object.
|
markPropertyAsExplicitlySet, wasPropertyExplicitlySet@Deprecated @ConstructorProperties(value={"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)
public static Model.Builder builder()
Create a new builder.
public Model.Builder toBuilder()
public String getId()
A unique identifier that is immutable after creation.
public String getDisplayName()
A human-friendly name for the model, which can be changed.
public String getDescription()
An optional description of the model.
public String getCompartmentId()
The compartment identifier.
public Model.ModelType getModelType()
What type of Vision model this is.
public 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.
public Double getMaxTrainingDurationInHours()
The maximum model training duration in hours, expressed as a decimal fraction.
public Double getTrainedDurationInHours()
The total hours actually used for model training.
public Dataset getTrainingDataset()
public Dataset getTestingDataset()
public Dataset getValidationDataset()
public String getModelVersion()
The version of the model.
public String getProjectId()
The OCID of the project that contains the model.
public Date getTimeCreated()
When the model was created, as an RFC3339 datetime string.
public Date getTimeUpdated()
When the model was updated, as an RFC3339 datetime string.
public Model.LifecycleState getLifecycleState()
The current state of the model.
public String getLifecycleDetails()
A message describing the current state in more detail, that can provide actionable information if training failed.
public Float getPrecision()
The precision of the trained model.
public Float getRecall()
Recall of the trained model.
public Float getAveragePrecision()
The mean average precision of the trained model.
public Float getConfidenceThreshold()
The intersection over the union threshold used for calculating precision and recall.
public Integer getTotalImageCount()
The number of images in the dataset used to train, validate, and test the model.
public Integer getTestImageCount()
The number of images set aside for evaluating model performance metrics after training.
public String getMetrics()
The complete set of per-label metrics for successfully trained models.
public 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"}
public 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"}}
public 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"}}
public String toString()
toString in class com.oracle.bmc.http.client.internal.ExplicitlySetBmcModelpublic String toString(boolean includeByteArrayContents)
Return a string representation of the object.
includeByteArrayContents - true to include the full contents of byte arrayspublic boolean equals(Object o)
equals in class com.oracle.bmc.http.client.internal.ExplicitlySetBmcModelpublic int hashCode()
hashCode in class com.oracle.bmc.http.client.internal.ExplicitlySetBmcModelCopyright © 2016–2024. All rights reserved.