Class NasAutoMLModelBase<T>

Namespace

AiDotNet.AutoML.NAS

Assembly

AiDotNet.dll

Base class for NAS-based AutoML models.

public abstract class NasAutoMLModelBase<T> : AutoMLModelBase<T, Tensor<T>, Tensor<T>>, IAutoMLModel<T, Tensor<T>, Tensor<T>>, IFullModel<T, Tensor<T>, Tensor<T>>, IModel<Tensor<T>, Tensor<T>, ModelMetadata<T>>, IModelSerializer, ICheckpointableModel, IParameterizable<T, Tensor<T>, Tensor<T>>, IFeatureAware, IFeatureImportance<T>, ICloneable<IFullModel<T, Tensor<T>, Tensor<T>>>, IGradientComputable<T, Tensor<T>, Tensor<T>>, IJitCompilable<T>

Type Parameters

T

The numeric type used for calculations.

Inheritance

object

AutoMLModelBase<T, Tensor<T>, Tensor<T>>

NasAutoMLModelBase<T>

Implements

IAutoMLModel<T, Tensor<T>, Tensor<T>>

IFullModel<T, Tensor<T>, Tensor<T>>

IModel<Tensor<T>, Tensor<T>, ModelMetadata<T>>

IModelSerializer

ICheckpointableModel

IParameterizable<T, Tensor<T>, Tensor<T>>

IFeatureAware

IFeatureImportance<T>

ICloneable<IFullModel<T, Tensor<T>, Tensor<T>>>

IGradientComputable<T, Tensor<T>, Tensor<T>>

IJitCompilable<T>

Derived

AttentiveNAS<T>

BigNAS<T>

ENAS<T>

FBNet<T>

GDAS<T>

OnceForAll<T>

PCDARTS<T>

ProxylessNAS<T>

Inherited Members

AutoMLModelBase<T, Tensor<T>, Tensor<T>>._trialHistory

AutoMLModelBase<T, Tensor<T>, Tensor<T>>._searchSpace

AutoMLModelBase<T, Tensor<T>, Tensor<T>>._candidateModels

AutoMLModelBase<T, Tensor<T>, Tensor<T>>._constraints

AutoMLModelBase<T, Tensor<T>, Tensor<T>>._lock

AutoMLModelBase<T, Tensor<T>, Tensor<T>>._optimizationMetric

AutoMLModelBase<T, Tensor<T>, Tensor<T>>._maximize

AutoMLModelBase<T, Tensor<T>, Tensor<T>>._optimizationMetricExplicitlySet

AutoMLModelBase<T, Tensor<T>, Tensor<T>>._earlyStoppingPatience

AutoMLModelBase<T, Tensor<T>, Tensor<T>>._earlyStoppingMinDelta

AutoMLModelBase<T, Tensor<T>, Tensor<T>>._trialsSinceImprovement

AutoMLModelBase<T, Tensor<T>, Tensor<T>>._modelEvaluator

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.OptimizationMetric

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.MaximizeOptimizationMetric

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.Type

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.Status

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.BestModel

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.BestScore

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.TimeLimit

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.TrialLimit

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.SearchAsync(Tensor<T>, Tensor<T>, Tensor<T>, Tensor<T>, TimeSpan, CancellationToken)

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.SetSearchSpace(Dictionary<string, ParameterRange>)

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.SetCandidateModels(List<ModelType>)

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.SetOptimizationMetric(MetricType, bool)

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.GetTrialHistory()

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.GetFeatureImportanceAsync()

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.SuggestNextTrialAsync()

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.ReportTrialResultAsync(Dictionary<string, object>, double, TimeSpan)

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.EnableEarlyStopping(int, double)

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.SetConstraints(List<SearchConstraint>)

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.Train(double[][], double[])

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.Predict(double[][])

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.GetModelMetadata()

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.ShouldStop()

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.ValidateConstraints(Dictionary<string, object>, IFullModel<T, Tensor<T>, Tensor<T>>)

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.CreateModelAsync(ModelType, Dictionary<string, object>)

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.EvaluateModelAsync(IFullModel<T, Tensor<T>, Tensor<T>>, Tensor<T>, Tensor<T>)

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.GetDefaultSearchSpace(ModelType)

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.Train(Tensor<T>, Tensor<T>)

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.Predict(Tensor<T>)

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.SaveModel(string)

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.LoadModel(string)

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.Serialize()

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.Deserialize(byte[])

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.GetParameters()

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.SetParameters(Vector<T>)

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.ParameterCount

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.WithParameters(Vector<T>)

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.FeatureNames

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.GetFeatureImportance()

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.GetActiveFeatureIndices()

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.IsFeatureUsed(int)

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.SetActiveFeatureIndices(IEnumerable<int>)

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.Clone()

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.DeepCopy()

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.CreateInstanceForCopy()

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.SetModelEvaluator(IModelEvaluator<T, Tensor<T>, Tensor<T>>)

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.ExtractMetricFromEvaluation(ModelEvaluationData<T, Tensor<T>, Tensor<T>>)

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.ReportTrialFailureAsync(Dictionary<string, object>, Exception, TimeSpan)

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.ConfigureSearchSpace(Dictionary<string, ParameterRange>)

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.SetTimeLimit(TimeSpan)

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.SetTrialLimit(int)

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.EnableNAS(bool)

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.SearchBestModel(Tensor<T>, Tensor<T>, Tensor<T>, Tensor<T>)

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.Search(Tensor<T>, Tensor<T>, Tensor<T>, Tensor<T>)

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.GetResults()

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.Run(Tensor<T>, Tensor<T>, Tensor<T>, Tensor<T>)

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.SetModelsToTry(List<ModelType>)

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.DefaultLossFunction

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.ComputeGradients(Tensor<T>, Tensor<T>, ILossFunction<T>)

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.ApplyGradients(Vector<T>, T)

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.SupportsJitCompilation

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.ExportComputationGraph(List<ComputationNode<T>>)

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.SaveState(Stream)

AutoMLModelBase<T, Tensor<T>, Tensor<T>>.LoadState(Stream)

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Extension Methods

DistributedExtensions.AsDistributedForHighBandwidth<T, TInput, TOutput>(IFullModel<T, TInput, TOutput>, ICommunicationBackend<T>)

DistributedExtensions.AsDistributedForLowBandwidth<T, TInput, TOutput>(IFullModel<T, TInput, TOutput>, ICommunicationBackend<T>)

DistributedExtensions.AsDistributed<T, TInput, TOutput>(IFullModel<T, TInput, TOutput>, ICommunicationBackend<T>)

DistributedExtensions.AsDistributed<T, TInput, TOutput>(IFullModel<T, TInput, TOutput>, IShardingConfiguration<T>)

Properties

BestArchitecture

Gets the best architecture found by the NAS search.

public Architecture<T>? BestArchitecture { get; protected set; }

Property Value

Architecture<T>

NasNumNodes

Gets the number of nodes to search over.

protected abstract int NasNumNodes { get; }

Property Value

int

NasSearchSpace

Gets the NAS search space.

protected abstract SearchSpaceBase<T> NasSearchSpace { get; }

Property Value

SearchSpaceBase<T>

NumOps

Gets the numeric operations provider for T.

protected abstract INumericOperations<T> NumOps { get; }

Property Value

INumericOperations<T>

Methods

ApplyArchitectureToModel(SuperNet<T>, Architecture<T>)

protected virtual void ApplyArchitectureToModel(SuperNet<T> model, Architecture<T> architecture)

Parameters

model SuperNet<T>

architecture Architecture<T>

CreateModelAsync(ModelType, Dictionary<string, object>)

Creates a model instance for the given type and parameters

protected override Task<IFullModel<T, Tensor<T>, Tensor<T>>> CreateModelAsync(ModelType modelType, Dictionary<string, object> parameters)

Parameters

modelType ModelType

parameters Dictionary<string, object>

Returns

Task<IFullModel<T, Tensor<T>, Tensor<T>>>

GetDefaultSearchSpace(ModelType)

Gets the default search space for a model type

protected override Dictionary<string, ParameterRange> GetDefaultSearchSpace(ModelType modelType)

Parameters

modelType ModelType

Returns

Dictionary<string, ParameterRange>

SearchArchitecture(Tensor<T>, Tensor<T>, Tensor<T>, Tensor<T>, TimeSpan, CancellationToken)

Performs algorithm-specific architecture search.

protected abstract Architecture<T> SearchArchitecture(Tensor<T> inputs, Tensor<T> targets, Tensor<T> validationInputs, Tensor<T> validationTargets, TimeSpan timeLimit, CancellationToken cancellationToken)

Parameters

inputs Tensor<T>

targets Tensor<T>

validationInputs Tensor<T>

validationTargets Tensor<T>

timeLimit TimeSpan

cancellationToken CancellationToken

Returns

Architecture<T>

SearchAsync(Tensor<T>, Tensor<T>, Tensor<T>, Tensor<T>, TimeSpan, CancellationToken)

Runs the NAS search and returns the best model found.

public override Task<IFullModel<T, Tensor<T>, Tensor<T>>> SearchAsync(Tensor<T> inputs, Tensor<T> targets, Tensor<T> validationInputs, Tensor<T> validationTargets, TimeSpan timeLimit, CancellationToken cancellationToken = default)

Parameters

inputs Tensor<T>

targets Tensor<T>

validationInputs Tensor<T>

validationTargets Tensor<T>

timeLimit TimeSpan

cancellationToken CancellationToken

Returns

Task<IFullModel<T, Tensor<T>, Tensor<T>>>

SuggestNextTrialAsync()

Suggests the next trial parameters.

public override Task<Dictionary<string, object>> SuggestNextTrialAsync()

Returns

Task<Dictionary<string, object>>