nirs4all.operators.models package

Subpackages

• nirs4all.operators.models.jax package
  • Submodules
    • nirs4all.operators.models.jax.generic module
      • JaxMLPClassifier
      • JaxMLPRegressor
    • nirs4all.operators.models.jax.nicon module
      • Activation
      • DepthwiseConv1D
      • DynamicModel
      • Flatten
      • GlobalAveragePooling1D
      • MaxPooling1D
      • SeparableConv1D
      • SpatialDropout1D
      • TransformerBlock
      • 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()
• nirs4all.operators.models.pytorch package
  • Submodules
    • nirs4all.operators.models.pytorch.mlp module
      • structural_mlp()
    • nirs4all.operators.models.pytorch.nicon module
      • DepthwiseConv1D
      • GlobalAveragePooling1D
      • LayerNorm1D
      • SeparableConv1D
      • SpatialDropout1D
      • 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()
    • nirs4all.operators.models.pytorch.spectral_transformer module
      • SpectralTransformer
      • spectral_transformer()
      • spectral_transformer_classification()
      • spectral_transformer_large()
      • spectral_transformer_large_classification()
      • spectral_transformer_small()
      • spectral_transformer_small_classification()
• nirs4all.operators.models.sklearn package
  • Submodules
    • nirs4all.operators.models.sklearn.aom_fast module
      • ASLSBase
      • AbsorbanceBase
      • BaseTransform
      • ChainGenerationConfig
      • ChainGrammar
      • EMSCBase
      • FastAOMConfig
      • FastAOMPLSRidge
      • HardAOMChainPLSRidge
      • LowRankBase
      • MSCBase
      • OSCBase
      • OperatorChain
      • RawBase
      • SNVBase
      • SNVOSCBase
      • ScreeningCandidate
      • SingleChainPLSRidge
      • SoftAOMChainPLSRidge
      • SparseMultiKernelRidge
      • WhittakerBaseLine
      • build_base_bank()
      • chain_from_operators()
      • default_grammar()
      • diversity_topk()
      • fast_covariance_screen()
      • fit_lowrank_bases()
      • generate_chains()
    • nirs4all.operators.models.sklearn.aom_pls module
      • AOMPLSRegressor
      • ComposedOperator
      • DetrendProjectionOperator
      • ExplicitMatrixOperator
      • FiniteDifferenceOperator
      • IdentityOperator
      • LinearSpectralOperator
      • NorrisWilliamsOperator
      • POPPLSRegressor
      • SavitzkyGolayOperator
      • WhittakerOperator
      • bank_by_name()
      • compact_bank()
      • default_bank()
      • default_operator_bank()
      • extended_bank()
    • nirs4all.operators.models.sklearn.aom_pls_aomlib module
      • AOMPLSAomlibRegressor
    • nirs4all.operators.models.sklearn.aom_pls_classifier module
      • AOMPLSClassifier
    • nirs4all.operators.models.sklearn.aom_ridge module
      • AOMKernelizer
      • AOMLocalRidge
      • AOMMultiBranchMKL
      • AOMMultiKernelRidge
      • AOMRidgeAutoSelector
      • AOMRidgeBlender
      • AOMRidgeClassifier
      • AOMRidgePLS
      • AOMRidgePLSCV
      • AOMRidgeRegressor
    • nirs4all.operators.models.sklearn.dipls module
      • DiPLS
    • nirs4all.operators.models.sklearn.fckpls module
      • Mathematical formulation
      • Fractional filter bank
      • PLS in feature space
      • FCKPLS
      • FractionalConvFeaturizer
      • fractional_kernel_1d()
      • fractional_kernel_grrunwald_letnikov()
    • nirs4all.operators.models.sklearn.ikpls module
      • IKPLS
    • nirs4all.operators.models.sklearn.ipls module
      • IntervalPLS
    • nirs4all.operators.models.sklearn.kopls module
      • KOPLS
    • nirs4all.operators.models.sklearn.lwpls module
      • License
      • LWPLS
    • nirs4all.operators.models.sklearn.mbpls module
      • MBPLS
    • nirs4all.operators.models.sklearn.nlpls module
      • KPLS
    • nirs4all.operators.models.sklearn.oklmpls module
      • Mathematical formulation
      • IdentityFeaturizer
      • OKLMPLS
      • PolynomialFeaturizer
      • RBFFeaturizer
    • nirs4all.operators.models.sklearn.opls module
      • OPLS
    • nirs4all.operators.models.sklearn.oplsda module
      • OPLSDA
    • nirs4all.operators.models.sklearn.pcr module
      • PCR
    • nirs4all.operators.models.sklearn.plsda module
    • nirs4all.operators.models.sklearn.pop_pls module
    • nirs4all.operators.models.sklearn.pop_pls_classifier module
      • POPPLSClassifier
    • nirs4all.operators.models.sklearn.recursive_pls module
      • RecursivePLS
    • nirs4all.operators.models.sklearn.robust_pls module
      • RobustPLS
    • nirs4all.operators.models.sklearn.simpls module
      • SIMPLS
    • nirs4all.operators.models.sklearn.sparsepls module
      • SparsePLS
    • nirs4all.operators.models.sklearn.tabpfn_nirs module
      • Recipe
      • Requirements
      • TabPFNNIRSRegressor
• nirs4all.operators.models.tensorflow package
  • Subpackages
    • nirs4all.operators.models.tensorflow.legacy package
      • Submodules
  • Submodules
    • nirs4all.operators.models.tensorflow.generic module
      • CONV_LSTM()
      • Custom_Residuals()
      • Custom_VG_Residuals()
      • Custom_VG_Residuals2()
      • FFT_Conv()
      • MLP()
      • ResNetV2_model()
      • SEResNet_model()
      • UNET()
      • UNet_NIRS()
      • VGG_1D()
      • XCeption1D()
      • bard()
      • inception1D()
      • senseen_origin()
    • nirs4all.operators.models.tensorflow.nicon module
      • customizable_decon()
      • customizable_decon_classification()
      • customizable_nicon()
      • customizable_nicon_classification()
      • decon()
      • decon_Sep()
      • decon_Sep_classification()
      • decon_classification()
      • nicon()
      • nicon_VG()
      • nicon_VG_classification()
      • nicon_classification()
      • thin_nicon()
      • transformer()
      • transformer_VG()
      • transformer_VG_classification()
      • transformer_classification()
      • transformer_model()
      • transformer_model_classification()

Submodules

• nirs4all.operators.models.base module
  • BaseModelOperator
    • BaseModelOperator.get_controller_type()
    • BaseModelOperator.get_params()
    • BaseModelOperator.set_params()
• nirs4all.operators.models.meta module
• nirs4all.operators.models.multimodal module
  • MultimodalClassifier
    • MultimodalClassifier.close()
    • MultimodalClassifier.decision_function()
    • MultimodalClassifier.fit()
    • MultimodalClassifier.predict()
    • MultimodalClassifier.predict_proba()
    • MultimodalClassifier.set_decision_function_request()
    • MultimodalClassifier.set_fit_request()
    • MultimodalClassifier.set_predict_proba_request()
    • MultimodalClassifier.set_predict_request()
    • MultimodalClassifier.set_score_request()
  • MultimodalRegressor
    • MultimodalRegressor.close()
    • MultimodalRegressor.fit()
    • MultimodalRegressor.predict()
    • MultimodalRegressor.set_fit_request()
    • MultimodalRegressor.set_predict_request()
    • MultimodalRegressor.set_score_request()
  • TensorPCA
    • TensorPCA.fit()
    • TensorPCA.transform()
• nirs4all.operators.models.residual module
• nirs4all.operators.models.selection module
  • DiversitySelector
    • DiversitySelector.select()
  • TopKByMetricSelector
    • TopKByMetricSelector.select()