nirs4all.operators.models.sklearn package

Submodules

• nirs4all.operators.models.sklearn.aom_fast module
  • ASLSBase
    • ASLSBase.fit()
    • ASLSBase.name
    • ASLSBase.signature
    • ASLSBase.transform()
  • AbsorbanceBase
    • AbsorbanceBase.fit()
    • AbsorbanceBase.name
    • AbsorbanceBase.signature
    • AbsorbanceBase.transform()
  • BaseTransform
    • BaseTransform.fit()
    • BaseTransform.fit_transform()
    • BaseTransform.name
    • BaseTransform.signature
    • BaseTransform.transform()
  • ChainGenerationConfig
    • ChainGenerationConfig.beam_width
    • ChainGenerationConfig.include_identity_chain
    • ChainGenerationConfig.max_depth
    • ChainGenerationConfig.simplify_each
  • ChainGrammar
    • ChainGrammar.allow_repeats_in_role
    • ChainGrammar.allowed_roles_per_position
    • ChainGrammar.chain_role_summary()
    • ChainGrammar.forbidden_role_sequences
    • ChainGrammar.is_extension_valid()
    • ChainGrammar.max_depth
    • ChainGrammar.max_per_role
  • EMSCBase
    • EMSCBase.fit()
    • EMSCBase.name
    • EMSCBase.reference_
    • EMSCBase.signature
    • EMSCBase.transform()
  • FastAOMConfig
    • FastAOMConfig.asls_grid
    • FastAOMConfig.chain_beam_width
    • FastAOMConfig.component_shrinkage_gamma
    • FastAOMConfig.cv_folds
    • FastAOMConfig.cv_n_components
    • FastAOMConfig.lambdas
    • FastAOMConfig.max_chain_depth
    • FastAOMConfig.model
    • FastAOMConfig.n_components
    • FastAOMConfig.osc_components
    • FastAOMConfig.primitive_bank
    • FastAOMConfig.random_state
    • FastAOMConfig.rank
    • FastAOMConfig.soft_max_mixture_size
    • FastAOMConfig.soft_rho
    • FastAOMConfig.sparse_mkr_max_chains
    • FastAOMConfig.top_global
    • FastAOMConfig.top_per_base
    • FastAOMConfig.top_per_family
    • FastAOMConfig.use_absorbance
    • FastAOMConfig.use_emsc
    • FastAOMConfig.use_msc
    • FastAOMConfig.use_raw
    • FastAOMConfig.use_snv
    • FastAOMConfig.use_snv_osc
    • FastAOMConfig.whittaker_baseline_lam
  • FastAOMPLSRidge
    • FastAOMPLSRidge.fit()
    • FastAOMPLSRidge.predict()
    • FastAOMPLSRidge.set_score_request()
  • HardAOMChainPLSRidge
    • HardAOMChainPLSRidge.fit()
    • HardAOMChainPLSRidge.predict()
    • HardAOMChainPLSRidge.set_fit_request()
    • HardAOMChainPLSRidge.set_score_request()
  • LowRankBase
    • LowRankBase.F()
    • LowRankBase.S
    • LowRankBase.U
    • LowRankBase.V
    • LowRankBase.Vt
    • LowRankBase.X_centred
    • LowRankBase.base
    • LowRankBase.chain_norm_F_sq()
    • LowRankBase.g0
    • LowRankBase.kernel_apply()
    • LowRankBase.kernel_matrix_lowrank()
    • LowRankBase.mean
    • LowRankBase.rank
    • LowRankBase.y_centred
  • MSCBase
    • MSCBase.fit()
    • MSCBase.name
    • MSCBase.transform()
  • OSCBase
    • OSCBase.fit()
    • OSCBase.name
    • OSCBase.signature
    • OSCBase.transform()
  • OperatorChain
    • OperatorChain.adjoint_vec()
    • OperatorChain.apply_cov()
    • OperatorChain.composed
    • OperatorChain.depth()
    • OperatorChain.families()
    • OperatorChain.fit()
    • OperatorChain.from_operators()
    • OperatorChain.matrix()
    • OperatorChain.names()
    • OperatorChain.operators
    • OperatorChain.signature
    • OperatorChain.simplify()
    • OperatorChain.stages
    • OperatorChain.transform()
  • RawBase
    • RawBase.fit()
    • RawBase.name
    • RawBase.transform()
  • SNVBase
    • SNVBase.fit()
    • SNVBase.name
    • SNVBase.transform()
  • SNVOSCBase
    • SNVOSCBase.fit()
    • SNVOSCBase.name
    • SNVOSCBase.signature
    • SNVOSCBase.transform()
  • ScreeningCandidate
    • ScreeningCandidate.base_index
    • ScreeningCandidate.base_name
    • ScreeningCandidate.chain
    • ScreeningCandidate.chain_norm_F_sq
    • ScreeningCandidate.denominator
    • ScreeningCandidate.family_tag
    • ScreeningCandidate.numerator
    • ScreeningCandidate.score
  • SingleChainPLSRidge
    • SingleChainPLSRidge.fit()
    • SingleChainPLSRidge.predict()
    • SingleChainPLSRidge.set_score_request()
  • SoftAOMChainPLSRidge
    • SoftAOMChainPLSRidge.fit()
    • SoftAOMChainPLSRidge.predict()
    • SoftAOMChainPLSRidge.set_fit_request()
    • SoftAOMChainPLSRidge.set_score_request()
  • SparseMultiKernelRidge
    • SparseMultiKernelRidge.fit()
    • SparseMultiKernelRidge.predict()
    • SparseMultiKernelRidge.set_fit_request()
    • SparseMultiKernelRidge.set_score_request()
  • WhittakerBaseLine
    • WhittakerBaseLine.fit()
    • WhittakerBaseLine.name
    • WhittakerBaseLine.signature
    • WhittakerBaseLine.transform()
  • 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
    • ComposedOperator.fit()
  • DetrendProjectionOperator
  • ExplicitMatrixOperator
  • FiniteDifferenceOperator
  • IdentityOperator
  • LinearSpectralOperator
    • LinearSpectralOperator.adjoint_vec()
    • LinearSpectralOperator.apply_cov()
    • LinearSpectralOperator.fit()
    • LinearSpectralOperator.fitted_parameters()
    • LinearSpectralOperator.is_linear_at_apply()
    • LinearSpectralOperator.is_strict_linear
    • LinearSpectralOperator.matrix()
    • LinearSpectralOperator.name
    • LinearSpectralOperator.p
    • LinearSpectralOperator.transform()
  • 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
    • AOMPLSAomlibRegressor.fit()
    • AOMPLSAomlibRegressor.get_params()
    • AOMPLSAomlibRegressor.predict()
    • AOMPLSAomlibRegressor.set_fit_request()
    • AOMPLSAomlibRegressor.set_params()
    • AOMPLSAomlibRegressor.set_score_request()
• nirs4all.operators.models.sklearn.aom_pls_classifier module
  • AOMPLSClassifier
• nirs4all.operators.models.sklearn.aom_ridge module
  • AOMKernelizer
    • AOMKernelizer.fit()
    • AOMKernelizer.fit_transform()
    • AOMKernelizer.get_params()
    • AOMKernelizer.transform()
  • AOMLocalRidge
    • AOMLocalRidge.fit()
    • AOMLocalRidge.get_diagnostics()
    • AOMLocalRidge.predict()
    • AOMLocalRidge.score()
  • AOMMultiBranchMKL
    • AOMMultiBranchMKL.fit()
    • AOMMultiBranchMKL.get_diagnostics()
    • AOMMultiBranchMKL.predict()
    • AOMMultiBranchMKL.score()
  • AOMMultiKernelRidge
    • AOMMultiKernelRidge.fit()
    • AOMMultiKernelRidge.predict()
    • AOMMultiKernelRidge.predict_dual()
    • AOMMultiKernelRidge.score()
  • AOMRidgeAutoSelector
    • AOMRidgeAutoSelector.fit()
    • AOMRidgeAutoSelector.get_diagnostics()
    • AOMRidgeAutoSelector.predict()
    • AOMRidgeAutoSelector.score()
  • AOMRidgeBlender
    • AOMRidgeBlender.fit()
    • AOMRidgeBlender.get_diagnostics()
    • AOMRidgeBlender.predict()
    • AOMRidgeBlender.score()
  • AOMRidgeClassifier
    • AOMRidgeClassifier.decision_function()
    • AOMRidgeClassifier.fit()
    • AOMRidgeClassifier.get_diagnostics()
    • AOMRidgeClassifier.get_selected_operators()
    • AOMRidgeClassifier.predict()
    • AOMRidgeClassifier.predict_proba()
    • AOMRidgeClassifier.score()
  • AOMRidgePLS
    • AOMRidgePLS.fit()
    • AOMRidgePLS.get_diagnostics()
    • AOMRidgePLS.predict()
    • AOMRidgePLS.score()
  • AOMRidgePLSCV
    • AOMRidgePLSCV.fit()
    • AOMRidgePLSCV.get_diagnostics()
    • AOMRidgePLSCV.predict()
    • AOMRidgePLSCV.score()
  • AOMRidgeRegressor
    • AOMRidgeRegressor.fit()
    • AOMRidgeRegressor.get_diagnostics()
    • AOMRidgeRegressor.get_selected_operators()
    • AOMRidgeRegressor.predict()
    • AOMRidgeRegressor.score()
• nirs4all.operators.models.sklearn.dipls module
  • DiPLS
    • DiPLS.fit()
    • DiPLS.get_params()
    • DiPLS.predict()
    • DiPLS.set_params()
    • DiPLS.set_score_request()
• nirs4all.operators.models.sklearn.fckpls module
  • Mathematical formulation
  • Fractional filter bank
  • PLS in feature space
  • FCKPLS
    • FCKPLS.__repr__()
    • FCKPLS.fit()
    • FCKPLS.get_filter_info()
    • FCKPLS.get_fractional_features()
    • FCKPLS.get_params()
    • FCKPLS.predict()
    • FCKPLS.set_params()
    • FCKPLS.set_score_request()
    • FCKPLS.transform()
  • FractionalConvFeaturizer
    • FractionalConvFeaturizer.fit()
    • FractionalConvFeaturizer.get_kernel_info()
    • FractionalConvFeaturizer.transform()
  • fractional_kernel_1d()
  • fractional_kernel_grrunwald_letnikov()
• nirs4all.operators.models.sklearn.ikpls module
  • IKPLS
    • IKPLS.fit()
    • IKPLS.get_params()
    • IKPLS.predict()
    • IKPLS.set_params()
    • IKPLS.set_predict_request()
    • IKPLS.set_score_request()
• nirs4all.operators.models.sklearn.ipls module
  • IntervalPLS
    • IntervalPLS.__repr__()
    • IntervalPLS.fit()
    • IntervalPLS.get_interval_info()
    • IntervalPLS.get_params()
    • IntervalPLS.predict()
    • IntervalPLS.set_params()
    • IntervalPLS.set_score_request()
    • IntervalPLS.transform()
• nirs4all.operators.models.sklearn.kopls module
  • KOPLS
    • KOPLS.__repr__()
    • KOPLS.fit()
    • KOPLS.get_params()
    • KOPLS.ortho_loadings_
    • KOPLS.predict()
    • KOPLS.set_params()
    • KOPLS.set_score_request()
    • KOPLS.transform()
• nirs4all.operators.models.sklearn.lwpls module
  • License
  • LWPLS
    • LWPLS.__repr__()
    • LWPLS.fit()
    • LWPLS.get_params()
    • LWPLS.predict()
    • LWPLS.predict_all_components()
    • LWPLS.set_params()
    • LWPLS.set_predict_request()
    • LWPLS.set_score_request()
• nirs4all.operators.models.sklearn.mbpls module
  • MBPLS
    • MBPLS.__repr__()
    • MBPLS.fit()
    • MBPLS.get_params()
    • MBPLS.predict()
    • MBPLS.set_params()
    • MBPLS.set_score_request()
    • MBPLS.transform()
• nirs4all.operators.models.sklearn.nlpls module
  • KPLS
• nirs4all.operators.models.sklearn.oklmpls module
  • Mathematical formulation
  • IdentityFeaturizer
    • IdentityFeaturizer.fit()
    • IdentityFeaturizer.transform()
  • OKLMPLS
    • OKLMPLS.__repr__()
    • OKLMPLS.fit()
    • OKLMPLS.get_params()
    • OKLMPLS.predict()
    • OKLMPLS.predict_dynamic()
    • OKLMPLS.set_params()
    • OKLMPLS.set_score_request()
    • OKLMPLS.transform()
  • PolynomialFeaturizer
    • PolynomialFeaturizer.fit()
    • PolynomialFeaturizer.transform()
  • RBFFeaturizer
    • RBFFeaturizer.fit()
    • RBFFeaturizer.transform()
• nirs4all.operators.models.sklearn.opls module
  • OPLS
    • OPLS.fit()
    • OPLS.get_params()
    • OPLS.predict()
    • OPLS.set_params()
    • OPLS.set_score_request()
    • OPLS.transform()
• nirs4all.operators.models.sklearn.oplsda module
  • OPLSDA
    • OPLSDA.fit()
    • OPLSDA.get_params()
    • OPLSDA.predict()
    • OPLSDA.predict_proba()
    • OPLSDA.set_params()
    • OPLSDA.set_score_request()
    • OPLSDA.transform()
• nirs4all.operators.models.sklearn.pcr module
  • PCR
    • PCR.fit()
    • PCR.predict()
    • PCR.set_score_request()
• 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
    • RecursivePLS.__repr__()
    • RecursivePLS.fit()
    • RecursivePLS.get_params()
    • RecursivePLS.partial_fit()
    • RecursivePLS.predict()
    • RecursivePLS.set_params()
    • RecursivePLS.set_score_request()
    • RecursivePLS.transform()
• nirs4all.operators.models.sklearn.robust_pls module
  • RobustPLS
    • RobustPLS.__repr__()
    • RobustPLS.fit()
    • RobustPLS.get_outlier_mask()
    • RobustPLS.get_params()
    • RobustPLS.predict()
    • RobustPLS.set_params()
    • RobustPLS.set_predict_request()
    • RobustPLS.set_score_request()
    • RobustPLS.transform()
• nirs4all.operators.models.sklearn.simpls module
  • SIMPLS
    • SIMPLS.__repr__()
    • SIMPLS.fit()
    • SIMPLS.get_params()
    • SIMPLS.predict()
    • SIMPLS.set_params()
    • SIMPLS.set_predict_request()
    • SIMPLS.set_score_request()
    • SIMPLS.transform()
• nirs4all.operators.models.sklearn.sparsepls module
  • SparsePLS
    • SparsePLS.__repr__()
    • SparsePLS.fit()
    • SparsePLS.get_params()
    • SparsePLS.get_selected_features()
    • SparsePLS.predict()
    • SparsePLS.set_params()
    • SparsePLS.set_score_request()
    • SparsePLS.transform()
• nirs4all.operators.models.sklearn.tabpfn_nirs module
  • Recipe
  • Requirements
  • TabPFNNIRSRegressor
    • TabPFNNIRSRegressor.fit()
    • TabPFNNIRSRegressor.predict()
    • TabPFNNIRSRegressor.set_score_request()