accelbrainbase package

Subpackages

• accelbrainbase._mxnet package
  • Subpackages
    • accelbrainbase._mxnet._exception package
      • Submodules
      • accelbrainbase._mxnet._exception.init_deferred_error module
      • Module contents
    • accelbrainbase._mxnet.initializableparams package
      • Submodules
      • accelbrainbase._mxnet.initializableparams.normal_initializer module
      • Module contents
  • Submodules
  • accelbrainbase._mxnet.global_avg_pool_2d module
  • accelbrainbase._mxnet.initializable_params module
  • accelbrainbase._mxnet.relu_n module
  • Module contents
• accelbrainbase.computableloss package
  • Subpackages
    • accelbrainbase.computableloss._mxnet package
      • Subpackages
        • accelbrainbase.computableloss._mxnet.discriminatorloss package
          • Submodules
          • accelbrainbase.computableloss._mxnet.discriminatorloss.eb_discriminator_loss module
          • Module contents
      • Submodules
      • accelbrainbase.computableloss._mxnet.discriminator_loss module
      • accelbrainbase.computableloss._mxnet.drcn_loss module
      • accelbrainbase.computableloss._mxnet.generator_loss module
      • accelbrainbase.computableloss._mxnet.l2_norm_loss module
      • Module contents
  • Module contents
• accelbrainbase.controllablemodel package
  • Subpackages
    • accelbrainbase.controllablemodel._mxnet package
      • Subpackages
        • accelbrainbase.controllablemodel._mxnet.dqlcontroller package
          • Submodules
          • accelbrainbase.controllablemodel._mxnet.dqlcontroller.dqn_controller module
          • Module contents
        • accelbrainbase.controllablemodel._mxnet.gancontroller package
          • Subpackages
            • accelbrainbase.controllablemodel._mxnet.gancontroller.aaecontroller package
              • Submodules
              • accelbrainbase.controllablemodel._mxnet.gancontroller.aaecontroller.ebaae_controller module
              • Module contents
          • Submodules
          • accelbrainbase.controllablemodel._mxnet.gancontroller.aae_controller module
          • accelbrainbase.controllablemodel._mxnet.gancontroller.ebgan_controller module
          • Module contents
      • Submodules
      • accelbrainbase.controllablemodel._mxnet.dql_controller module
      • accelbrainbase.controllablemodel._mxnet.gan_controller module
      • Module contents
  • Module contents
• accelbrainbase.extractabledata package
  • Subpackages
    • accelbrainbase.extractabledata._mxnet package
      • Submodules
      • accelbrainbase.extractabledata._mxnet.image_extractor module
      • Module contents
  • Submodules
  • accelbrainbase.extractabledata.image_extractor module
  • accelbrainbase.extractabledata.labeled_csv_extractor module
  • accelbrainbase.extractabledata.unlabeled_csv_extractor module
  • Module contents
• accelbrainbase.iteratabledata package
  • Subpackages
    • accelbrainbase.iteratabledata._mxnet package
      • Submodules
      • accelbrainbase.iteratabledata._mxnet.drcn_iterator module
      • accelbrainbase.iteratabledata._mxnet.gauss_iterator module
      • accelbrainbase.iteratabledata._mxnet.labeled_csv_iterator module
      • accelbrainbase.iteratabledata._mxnet.labeled_image_iterator module
      • accelbrainbase.iteratabledata._mxnet.labeled_video_iterator module
      • accelbrainbase.iteratabledata._mxnet.unlabeled_csv_iterator module
      • accelbrainbase.iteratabledata._mxnet.unlabeled_image_iterator module
      • accelbrainbase.iteratabledata._mxnet.unlabeled_sequential_csv_iterator module
      • accelbrainbase.iteratabledata._mxnet.unlabeled_t_hot_csv_iterator module
      • accelbrainbase.iteratabledata._mxnet.unlabeled_t_hot_txt_iterator module
      • accelbrainbase.iteratabledata._mxnet.unlabeled_video_iterator module
      • Module contents
  • Submodules
  • accelbrainbase.iteratabledata.drcn_iterator module
  • accelbrainbase.iteratabledata.labeled_csv_iterator module
  • accelbrainbase.iteratabledata.labeled_image_iterator module
  • accelbrainbase.iteratabledata.unlabeled_image_iterator module
  • Module contents
• accelbrainbase.noiseabledata package
  • Subpackages
    • accelbrainbase.noiseabledata._mxnet package
      • Submodules
      • accelbrainbase.noiseabledata._mxnet.cutout_noise module
      • accelbrainbase.noiseabledata._mxnet.gauss_noise module
      • Module contents
  • Submodules
  • accelbrainbase.noiseabledata.cutout_noise module
  • accelbrainbase.noiseabledata.gauss_noise module
  • Module contents
• accelbrainbase.observabledata package
  • Subpackages
    • accelbrainbase.observabledata._mxnet package
      • Subpackages
        • accelbrainbase.observabledata._mxnet.adversarialmodel package
          • Subpackages
            • accelbrainbase.observabledata._mxnet.adversarialmodel.discriminativemodel package
              • Submodules
              • accelbrainbase.observabledata._mxnet.adversarialmodel.discriminativemodel.eb_discriminative_model module
              • Module contents
            • accelbrainbase.observabledata._mxnet.adversarialmodel.generativemodel package
              • Submodules
              • accelbrainbase.observabledata._mxnet.adversarialmodel.generativemodel.convolutional_auto_encoder module
              • Module contents
          • Submodules
          • accelbrainbase.observabledata._mxnet.adversarialmodel.discriminative_model module
          • accelbrainbase.observabledata._mxnet.adversarialmodel.generative_model module
          • Module contents
        • accelbrainbase.observabledata._mxnet.convolutionalneuralnetworks package
          • Subpackages
            • accelbrainbase.observabledata._mxnet.convolutionalneuralnetworks.convolutionalautoencoder package
              • Submodules
              • accelbrainbase.observabledata._mxnet.convolutionalneuralnetworks.convolutionalautoencoder.contractive_cae module
              • accelbrainbase.observabledata._mxnet.convolutionalneuralnetworks.convolutionalautoencoder.convolutional_ladder_networks module
              • accelbrainbase.observabledata._mxnet.convolutionalneuralnetworks.convolutionalautoencoder.repelling_cae module
              • Module contents
          • Submodules
          • accelbrainbase.observabledata._mxnet.convolutionalneuralnetworks.convolutional_auto_encoder module
          • accelbrainbase.observabledata._mxnet.convolutionalneuralnetworks.drc_networks module
          • accelbrainbase.observabledata._mxnet.convolutionalneuralnetworks.mobilenet_3d_v2 module
          • accelbrainbase.observabledata._mxnet.convolutionalneuralnetworks.mobilenet_v2 module
          • Module contents
        • accelbrainbase.observabledata._mxnet.functionapproximator package
          • Submodules
          • accelbrainbase.observabledata._mxnet.functionapproximator.function_approximator module
          • Module contents
        • accelbrainbase.observabledata._mxnet.lstmnetworks package
          • Submodules
          • accelbrainbase.observabledata._mxnet.lstmnetworks.encoder_decoder module
          • Module contents
        • accelbrainbase.observabledata._mxnet.neuralnetworks package
          • Submodules
          • accelbrainbase.observabledata._mxnet.neuralnetworks.auto_encoder module
          • accelbrainbase.observabledata._mxnet.neuralnetworks.neural_networks_3d module
          • Module contents
        • accelbrainbase.observabledata._mxnet.restrictedboltzmannmachines package
          • Submodules
          • accelbrainbase.observabledata._mxnet.restrictedboltzmannmachines.deep_boltzmann_machines module
          • Module contents
      • Submodules
      • accelbrainbase.observabledata._mxnet.adversarial_model module
      • accelbrainbase.observabledata._mxnet.convolutional_neural_networks module
      • accelbrainbase.observabledata._mxnet.function_approximator module
      • accelbrainbase.observabledata._mxnet.lstm_networks module
      • accelbrainbase.observabledata._mxnet.neural_networks module
      • accelbrainbase.observabledata._mxnet.restricted_boltzmann_machines module
      • Module contents
  • Module contents
• accelbrainbase.regularizatabledata package
  • Subpackages
    • accelbrainbase.regularizatabledata._mxnet package
      • Submodules
      • accelbrainbase.regularizatabledata._mxnet.constrain_weights module
      • Module contents
  • Submodules
  • accelbrainbase.regularizatabledata.constrain_weights module
  • Module contents
• accelbrainbase.samplabledata package
  • Subpackages
    • accelbrainbase.samplabledata.conditionsampler package
      • Subpackages
        • accelbrainbase.samplabledata.conditionsampler._mxnet package
          • Submodules
          • accelbrainbase.samplabledata.conditionsampler._mxnet.block_diagonal_constraint_sampler module
          • Module contents
      • Submodules
      • accelbrainbase.samplabledata.conditionsampler.labeled_condition_sampler module
      • Module contents
    • accelbrainbase.samplabledata.noisesampler package
      • Subpackages
        • accelbrainbase.samplabledata.noisesampler._mxnet package
          • Submodules
          • accelbrainbase.samplabledata.noisesampler._mxnet.normal_noise_sampler module
          • accelbrainbase.samplabledata.noisesampler._mxnet.uniform_noise_sampler module
          • Module contents
      • Module contents
    • accelbrainbase.samplabledata.policysampler package
      • Subpackages
        • accelbrainbase.samplabledata.policysampler._mxnet package
          • Submodules
          • accelbrainbase.samplabledata.policysampler._mxnet.labeled_similar_image_policy module
          • accelbrainbase.samplabledata.policysampler._mxnet.labeled_summarization_policy module
          • accelbrainbase.samplabledata.policysampler._mxnet.unlabeled_similar_image_policy module
          • Module contents
      • Module contents
    • accelbrainbase.samplabledata.truesampler package
      • Subpackages
        • accelbrainbase.samplabledata.truesampler.labeledtruesampler package
          • Submodules
          • accelbrainbase.samplabledata.truesampler.labeledtruesampler.conditional_labeled_true_sampler module
          • Module contents
      • Submodules
      • accelbrainbase.samplabledata.truesampler.conditional_true_sampler module
      • accelbrainbase.samplabledata.truesampler.labeled_true_sampler module
      • accelbrainbase.samplabledata.truesampler.normal_true_sampler module
      • Module contents
  • Submodules
  • accelbrainbase.samplabledata.condition_sampler module
  • accelbrainbase.samplabledata.noise_sampler module
  • accelbrainbase.samplabledata.policy_sampler module
  • accelbrainbase.samplabledata.true_sampler module
  • Module contents

Submodules

accelbrainbase.computable_loss module

class accelbrainbase.computable_loss.ComputableLoss

Bases: object

The interface of Loss function.

compute(pred_arr, real_arr)

Compute loss.

Parameters:

• pred_arr – Inferenced results.
• real_arr – Real results.

Returns:

Tensor of losses.

accelbrainbase.controllable_model module

class accelbrainbase.controllable_model.ControllableModel

Bases: object

The abstract class of controllers.

accelbrainbase.extractable_data module

class accelbrainbase.extractable_data.ExtractableData

Bases: object

The interface to extract samples from dataset.

extract(path)

Extract data.

Parameters:path – str of source path. Returns:Tensor.

accelbrainbase.iteratable_data module

class accelbrainbase.iteratable_data.IteratableData

Bases: object

The interface to draw mini-batch samples from distributions.

References

• Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., … & Bengio, Y. (2014). Generative adversarial nets. In Advances in neural information processing systems (pp. 2672-2680).

generate_inferenced_samples()

Draw and generate inferenced samples.

Returns:

• observed data points in training.

generate_learned_samples()

Draw and generate learned samples.

Returns:Tuple data. The shape is … - observed data points in training. - supervised data in training. - observed data points in test. - supervised data in test.

accelbrainbase.noiseable_data module

class accelbrainbase.noiseable_data.NoiseableData

Bases: object

The interface to customize noising function for building Denoising Auto-Encoders.

noise(arr)

Noise.

Parameters:arr – Tensor. Returns:Tensor.

accelbrainbase.observable_data module

class accelbrainbase.observable_data.ObservableData

Bases: object

The interface to observe and learn samples, and inference the result.

inference(observed_arr)

Inference samples drawn by IteratableData.generate_inferenced_samples().

Parameters:observed_arr – Observed data points. Returns:Inferenced results.

learn(iteratable_data)

Learn samples drawn by IteratableData.generate_learned_samples().

Parameters:iteratable_data – is-a IteratableData.

accelbrainbase.regularizatable_data module

class accelbrainbase.regularizatable_data.RegularizatableData

Bases: object

The interface to customize Regularizations.

regularize(params_dict)

Regularize parameters.

Parameters:params_dict – is-a mxnet.gluon.ParameterDict. Returns:mxnet.gluon.ParameterDict

accelbrainbase.samplable_data module

class accelbrainbase.samplable_data.SamplableData

Bases: object

The interface to draw samples from distributions.

References

• Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., … & Bengio, Y. (2014). Generative adversarial nets. In Advances in neural information processing systems (pp. 2672-2680).

draw()

Draw samples from distribtions.

Returns:Tuple of samples.

Module contents