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NexuML

Home
Get started
Get started
- Installation
- Your first scenario
Tutorials
Guides
Guides
- Core workflow
  Core workflow
  - CLI lifecycle
- Scenarios and configuration
  Scenarios and configuration
- Training and evaluation
  Training and evaluation
- Data
  Data
  - Choose a data loader
  - Export a dataset
- Experimentation
  Experimentation
  - Tracking and logging
  - Optuna tuning
- Model export
  Model export
  - Export and reload
- Execution
  Execution
  - Overview
  - Ray
- Extending NexuML
  Extending NexuML
Concepts
Concepts
Reference
Reference
- CLI
- Scenario and config
- Decorators
- Registry inspection
- Backends
- Environment roots
- Tuning file
- Python API
  Python API
  - nexuml
    nexuml
    
    cli
    cli
    
    main
    
    overrides
    
    core
    core
    
    base_layer
    
    compiler
    
    components
    
    config
    
    diagram
    
    discovery
    
    export
    
    factory
    
    log_paths
    
    pipeline
    
    post_train_layer
    
    provenance
    
    registry
    
    scenario_loader
    
    scenario_registry
    
    schema
    
    serialization
    
    storage
    
    torch_adapter
    
    types
    
    data
    data
    
    auto_batch
    
    creator creator
    Table of contents
    
    creator
    
    NexuDataCreator
    
    dataset
    
    export
    export
    
    backend
    
    numpy_files
    
    numpy_mmap
    
    runner
    
    tensor_shards
    
    tensordict_memmap
    
    torch_files
    
    webdataset
    
    exported
    
    file_io
    
    loaders
    
    loaders
    
    dali_backend
    
    dali_multimodal
    
    dali_numpy
    
    dali_numpy_external
    
    dali_wav
    
    definitions
    
    registry
    
    tensor_shards_backend
    
    torch_backend
    
    module
    
    super_dataset
    
    evaluation
    evaluation
    
    algorithm
    
    registry
    
    storage
    
    utils
    
    execution
    execution
    
    ray
    
    storage
    storage
    
    s3
    
    tracking
    tracking
    
    logger
    
    training
    training
    
    callbacks
    
    lightning
    
    tuning
    tuning
    
    optuna_tuner
  - nexuml_library
    nexuml_library
    
    data
    data
    
    audioset
    audioset
    
    audioset
    
    audioset_hf_download
    
    dcaset2
    dcaset2
    
    dcase2026
    
    exported
    
    image
    image
    
    cifar
    
    fashionmnist
    
    mnist
    
    synthetic
    
    evaluation
    evaluation
    
    anomalous_sound_detection
    anomalous_sound_detection
    
    asd_evaluator
    
    decision
    
    visualizers
    visualizers
    
    class_histogram
    
    latent
    
    reconstruction
    
    layers
    layers
    
    feature
    feature
    
    l2_normalize
    
    lmbe
    
    pooling
    
    projector
    
    head
    head
    
    anomaly_score
    
    classification_head
    
    decision_rule
    
    regression_head
    
    loss
    loss
    
    classification_loss
    
    classification_metrics
    
    multilabel_map_metrics
    
    reconstruction_loss
    
    regression_loss
    
    model
    model
    
    conv_autoencoder
    
    linear_encoder
    
    resnet
    
    utility
    utility
    
    identity
    
    scenarios
    scenarios
    
    asd
    asd
    
    audioset_conv_ae_clshead
    
    conv_ae_toycaremu
    
    dcase_conv_ae_baseline
    
    linear_ae_toycaremu
    
    synthetic_conv_ae
    
    synthetic_linear_ae
    
    data
    data
    
    audioset
    
    cifar
    
    dcase
    
    roots
    
    synthetic
    
    evaluation
    evaluation
    
    anomaly
    
    base
    
    model
    model
    
    conv_ae
    
    linear_ae
    
    resnet_classifier
    
    training
    training
    
    defaults
    
    tune
    tune
    
    conv_ae_asd
    
    linear_ae_asd
    
    vision
    vision
    
    cifar_resnet
    
    mnist_resnet
    
    mnist_resnet_shards
    
    training
    training
    
    schedulers
    schedulers
    
    warmup_cosine
Development
Development

Table of contents

creator
- NexuDataCreator

`nexuml.data.creator`¶

nexuml.data.creator ¶

Unified dataset and datamodule creation flow.

NexuDataCreator ¶

Build datasets and datamodules from a DataSpec.

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