Skip to main content
Ctrl+K

Deeplay 0.1.3 documentation

  • Documentation
  • Documentation

Section Navigation

Contents:

  • deeplay.decorators Module
    • after_build
    • after_init
    • before_build
    • stateful
    • Callback
  • deeplay.list Module
    • LayerList
    • Parallel
    • ReferringLayerList
    • Sequential
  • deeplay.meta Module
    • not_top_level
    • ExtendedConstructorMeta
  • deeplay.module Module
    • builder
    • Config
    • ConfigItem
    • ConfigItemList
    • DeeplayModule
    • DetachedConfigItem
    • Selection
  • deeplay.shapes Module
    • reverse_two_operation
    • two_operation
    • unary_operation
    • Computed
    • Variable
  • deeplay.trainer Module
    • Trainer
  • deeplay.activelearning.criterion Module
    • ActiveLearningCriterion
    • Constant
    • Entropy
    • FractionCriterion
    • L1Upper
    • L2Upper
    • LeastConfidence
    • Margin
    • ProductCriterion
    • SumCriterion
  • deeplay.activelearning.data Module
    • ActiveLearningDataset
    • JointDataset
  • deeplay.activelearning.strategies.strategy Module
    • Strategy
  • deeplay.activelearning.strategies.uncertainty Module
    • UncertaintyStrategy
  • deeplay.activelearning.strategies.uniform Module
    • UniformStrategy
  • deeplay.activelearning.strategies.adversarial.adversarial Module
    • AdversarialStrategy
  • deeplay.applications.application Module
    • Application
  • deeplay.applications.autoencoders.vae Module
    • VariationalAutoEncoder
  • deeplay.applications.autoencoders.wae Module
    • WassersteinAutoEncoder
  • deeplay.applications.classification.binary Module
    • BinaryClassifier
  • deeplay.applications.classification.categorical Module
    • CategoricalClassifier
  • deeplay.applications.classification.classifier Module
    • Classifier
  • deeplay.applications.classification.multilabel Module
    • MultiLabelClassifier
  • deeplay.applications.detection.lodestar.dataset Module
  • deeplay.applications.detection.lodestar.lodestar Module
    • LodeSTAR
  • deeplay.applications.detection.lodestar.transforms Module
    • RandomRotation2d
    • RandomTranslation2d
    • Transform
    • Transforms
  • deeplay.applications.regression.regressor Module
    • Regressor
  • deeplay.blocks.base Module
    • BaseBlock
    • DeferredConfigurableLayer
  • deeplay.blocks.block Module
    • Block
  • deeplay.blocks.la Module
    • LayerActivation
  • deeplay.blocks.lan Module
    • LayerActivationNormalization
  • deeplay.blocks.land Module
    • LayerActivationNormalizationDropout
  • deeplay.blocks.lanu Module
    • LayerActivationNormalizationUpsample
  • deeplay.blocks.ls Module
    • LayerSkip
  • deeplay.blocks.plan Module
    • PoolLayerActivationNormalization
  • deeplay.blocks.recurrentblock Module
    • RecurrentBlock
  • deeplay.blocks.residual Module
    • BaseResidual
    • Conv2dResidual
  • deeplay.blocks.sequential Module
    • SequentialBlock
  • deeplay.blocks.conv.conv2d Module
    • residual
    • spatial_cross_attention
    • spatial_self_attention
    • spatial_transformer
    • Conv2dBlock
  • deeplay.blocks.linear.linear Module
    • LinearBlock
  • deeplay.blocks.sequence.sequence1d Module
    • Sequence1dBlock
    • SequenceDropout
  • deeplay.callbacks.history Module
    • LogHistory
  • deeplay.callbacks.progress Module
    • RichProgressBar
    • TQDMProgressBar
  • deeplay.components.dict Module
    • AddDict
    • FromDict
  • deeplay.components.mlp Module
    • MultiLayerPerceptron
  • deeplay.components.rnn Module
    • RecurrentNeuralNetwork
  • deeplay.components.cnn.cnn Module
    • ConvolutionalNeuralNetwork
  • deeplay.components.cnn.encdec Module
    • ConvolutionalDecoder2d
    • ConvolutionalEncoder2d
    • ConvolutionalEncoderDecoder2d
    • UNet2d
  • deeplay.components.diffusion.attention_unet Module
    • AttentionBlock
    • AttentionUNet
    • Block
    • FeatureIntegrationModule
    • UNetDecoder
    • UNetEncoder
  • deeplay.components.gnn.tpu Module
    • TransformPropagateUpdate
  • deeplay.components.gnn.gcn.gcn Module
    • GraphConvolutionalNeuralNetwork
  • deeplay.components.gnn.gcn.normalization Module
    • dense_laplacian_normalization
    • sparse_laplacian_normalization
  • deeplay.components.gnn.mpn.cla Module
    • CombineLayerActivation
  • deeplay.components.gnn.mpn.ct Module
    • CombineTransform
  • deeplay.components.gnn.mpn.ldw Module
    • LearnableDistancewWeighting
  • deeplay.components.gnn.mpn.mpn Module
    • MessagePassingNeuralNetwork
  • deeplay.components.gnn.mpn.propagation Module
    • Max
    • Mean
    • Min
    • Prod
    • Sum
    • WeightedSum
  • deeplay.components.gnn.mpn.rmpn Module
    • ResidualMessagePassingNeuralNetwork
  • deeplay.components.gnn.mpn.transformation Module
    • Transform
  • deeplay.components.gnn.mpn.update Module
    • Update
  • deeplay.components.transformer.enc Module
    • TransformerEncoderLayer
  • deeplay.components.transformer.ldsn Module
    • LayerDropoutSkipNormalization
  • deeplay.components.transformer.pemb Module
    • sinusoidal_init
    • IndexedPositionalEmbedding
    • PositionalEmbedding
  • deeplay.components.transformer.satt Module
    • MultiheadSelfAttention
  • deeplay.external.external Module
    • External
  • deeplay.external.layer Module
    • Layer
  • deeplay.external.optimizers.adam Module
    • Adam
    • AdamW
  • deeplay.external.optimizers.optimizer Module
    • Optimizer
  • deeplay.external.optimizers.rmsprop Module
    • RMSprop
  • deeplay.external.optimizers.sgd Module
    • SGD
  • deeplay.initializers.constant Module
    • Constant
  • deeplay.initializers.initializer Module
    • Initializer
  • deeplay.initializers.kaiming Module
    • Kaiming
  • deeplay.initializers.normal Module
    • Normal
  • deeplay.models.recurrentmodel Module
    • RecurrentModel
  • deeplay.models.visiontransformer Module
    • Patchify
    • ViT
  • deeplay.models.backbones.resnet18 Module
    • resnet
    • resnet18
    • resnet18_input
    • BackboneResnet18
  • deeplay.models.discriminators.cyclegan Module
    • CycleGANDiscriminator
  • deeplay.models.discriminators.dcgan Module
    • dcgan_discriminator
    • DCGANDiscriminator
  • deeplay.models.generators.cyclegan Module
    • CycleGANResnetGenerator
  • deeplay.models.generators.dcgan Module
    • dcgan_generator
    • DCGANGenerator
  • deeplay.models.gnn.gtoeMAGIK Module
    • GraphToEdgeMAGIK
  • deeplay.models.gnn.gtoempm Module
    • GraphToEdgeMPM
  • deeplay.models.gnn.gtogmpm Module
    • GlobalMeanPool
    • GraphToGlobalMPM
  • deeplay.models.gnn.gtonmpm Module
    • GraphToNodeMPM
  • deeplay.models.gnn.mpm Module
    • MPM
  • deeplay.models.mlp.sized Module
    • normed_leaky
    • LargeMLP
    • MediumMLP
    • SmallMLP
    • XLargeMLP
  • deeplay.ops.logs Module
    • FromLogs
  • deeplay.ops.merge Module
    • MergeOp
    • Add
    • Cat
    • Lambda
  • deeplay.ops.shape Module
    • Flatten
    • View
    • Reshape
    • Squeeze
    • Unsqueeze
    • Permute
  • deeplay.ops.attention.cross Module
    • MultiheadCrossAttention
  • deeplay.ops.attention.self Module
    • MultiheadSelfAttention
  • Documentation
  • deeplay.activelearning.criterion Module

deeplay.activelearning.criterion Module#

Classes#

ActiveLearningCriterion()

Constant(value)

Entropy()

FractionCriterion(*criterion)

L1Upper()

L2Upper()

LeastConfidence()

Margin()

ProductCriterion(*criterion)

SumCriterion(*criterion)

previous

Trainer

next

ActiveLearningCriterion

On this page
  • Classes

This Page

  • Show Source

© Copyright 2025, The Deeplay Developers.

Created using Sphinx 7.4.7.

Built with the PyData Sphinx Theme 0.16.1.