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nirs4all.operators.models.jax package

Submodules

  • nirs4all.operators.models.jax.generic module
    • JaxMLPClassifier
      • JaxMLPClassifier.features
      • JaxMLPClassifier.input_shape
      • JaxMLPClassifier.num_classes
    • JaxMLPRegressor
      • JaxMLPRegressor.features
      • JaxMLPRegressor.input_shape
  • nirs4all.operators.models.jax.nicon module
    • Activation
      • Activation.fn
    • DepthwiseConv1D
      • DepthwiseConv1D.activation
      • DepthwiseConv1D.depth_multiplier
      • DepthwiseConv1D.kernel_size
      • DepthwiseConv1D.padding
      • DepthwiseConv1D.strides
    • DynamicModel
      • DynamicModel.layers
    • Flatten
    • GlobalAveragePooling1D
    • MaxPooling1D
      • MaxPooling1D.padding
      • MaxPooling1D.strides
      • MaxPooling1D.window_shape
    • SeparableConv1D
      • SeparableConv1D.activation
      • SeparableConv1D.depth_multiplier
      • SeparableConv1D.features
      • SeparableConv1D.kernel_size
      • SeparableConv1D.padding
      • SeparableConv1D.strides
    • SpatialDropout1D
      • SpatialDropout1D.rate
    • TransformerBlock
      • TransformerBlock.dropout
      • TransformerBlock.ff_dim
      • TransformerBlock.head_size
      • TransformerBlock.num_heads
    • customizable_decon()
    • customizable_decon_classification()
    • customizable_nicon()
    • customizable_nicon_classification()
    • decon()
    • decon_Sep()
    • decon_Sep_classification()
    • decon_classification()
    • decon_layer_classification()
    • get_activation()
    • get_norm()
    • nicon()
    • nicon_VG()
    • nicon_VG_classification()
    • nicon_classification()
    • thin_nicon()
    • transformer()
    • transformer_VG()
    • transformer_VG_classification()
    • transformer_classification()
    • transformer_model()
    • transformer_model_classification()
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