Index

A

add() (TALENT.model.models.grownet.DynamicNet method) (TALENT.model.utils.Averager method) apply_preprocessing() (TALENT.model.models.grande.GRANDE method)

arg_constraints (TALENT.model.models.protogate.PL attribute) attenuated_kaiming_uniform_() (in module TALENT.model.models.excelformer) Averager (class in TALENT.model.utils)

B

backward() (TALENT.model.models.grownet.SpLinearFunc static method)

build_model() (TALENT.model.models.grande.GRANDE method)

C

C (TALENT.model.lib.data.Dataset attribute) cal_representation() (TALENT.model.models.tangos.Tangos method) cal_tangos_loss() (TALENT.model.models.tangos.Tangos method) calculate_output() (TALENT.model.models.snn.SNN method) CASCADE (TALENT.model.models.grownet.ForwardType attribute) CatBoostMethod (class in TALENT.model.classical_methods.catboost) category_offsets (TALENT.model.models.excelformer.Tokenizer attribute) (TALENT.model.models.ftt.Tokenizer attribute) check_softmax() (in module TALENT.model.classical_methods.base) (in module TALENT.model.methods.base) classical_methods (class in TALENT.model.classical_methods.base) compute_loss() (TALENT.model.models.tabnet.TabNetClassifier method) (TALENT.model.models.tabnet.TabNetRegressor method)

construct_model() (TALENT.model.classical_methods.base.classical_methods method) (TALENT.model.classical_methods.dummy.DummyMethod method) (TALENT.model.classical_methods.knn.KnnMethod method) (TALENT.model.classical_methods.lightgbm.LightGBMMethod method) (TALENT.model.classical_methods.logreg.LogRegMethod method) (TALENT.model.classical_methods.lr.LinearRegressionMethod method) (TALENT.model.classical_methods.naivebayes.NaiveBayesMethod method) (TALENT.model.classical_methods.ncm.NCMMethod method) (TALENT.model.classical_methods.randomforest.RandomForestMethod method) (TALENT.model.classical_methods.svm.SvmMethod method) (TALENT.model.classical_methods.xgboost.XGBoostMethod method)

D

d_embedding (TALENT.model.models.snn.SNN property) data_enc_process() (in module TALENT.model.lib.data) data_format() (TALENT.model.classical_methods.base.classical_methods method) (TALENT.model.methods.base.Method method) data_label_process() (in module TALENT.model.lib.data) data_loader_process() (in module TALENT.model.lib.data)

data_nan_process() (in module TALENT.model.lib.data) data_norm_process() (in module TALENT.model.lib.data) dataname_to_numpy() (in module TALENT.model.lib.data) Dataset (class in TALENT.model.lib.data) DeactFunc (class in TALENT.model.models.protogate) DummyMethod (class in TALENT.model.classical_methods.dummy) DynamicNet (class in TALENT.model.models.grownet)

E

embed_input() (TALENT.model.models.grownet.DynamicNet method) encode() (TALENT.model.models.snn.SNN method) ensure_path() (in module TALENT.model.utils)

entmax15() (TALENT.model.models.grande.GRANDE method) entmax_threshold_and_support() (TALENT.model.models.grande.GRANDE method) ExcelFormer (class in TALENT.model.models.excelformer)

F

fit() (TALENT.model.classical_methods.base.classical_methods method) (TALENT.model.classical_methods.catboost.CatBoostMethod method) (TALENT.model.classical_methods.dummy.DummyMethod method) (TALENT.model.classical_methods.knn.KnnMethod method) (TALENT.model.classical_methods.logreg.LogRegMethod method) (TALENT.model.classical_methods.lr.LinearRegressionMethod method) (TALENT.model.classical_methods.ncm.NCMMethod method) (TALENT.model.classical_methods.svm.SvmMethod method) (TALENT.model.classical_methods.xgboost.XGBoostMethod method) (TALENT.model.methods.base.Method method) (TALENT.model.models.tabpfn.TabPFNClassifier method) forward() (TALENT.model.models.excelformer.ExcelFormer method) (TALENT.model.models.excelformer.MultiheadAttention method) (TALENT.model.models.excelformer.Tokenizer method) (TALENT.model.models.ftt.MultiheadAttention method) (TALENT.model.models.ftt.Tokenizer method) (TALENT.model.models.ftt.Transformer method) (TALENT.model.models.grande.GRANDE method) (TALENT.model.models.grownet.DynamicNet method) (TALENT.model.models.grownet.MLP_2HL method) (TALENT.model.models.grownet.SpLinear method) (TALENT.model.models.grownet.SpLinearFunc static method) (TALENT.model.models.mlp.MLP method) (TALENT.model.models.modernNCA.MLP_Block method) (TALENT.model.models.modernNCA.ModernNCA method) (TALENT.model.models.node.NODE method) (TALENT.model.models.protogate.DeactFunc method) (TALENT.model.models.protogate.GatingNet method) (TALENT.model.models.protogate.HybridSort method) (TALENT.model.models.protogate.KNNNet method) (TALENT.model.models.resnet.ResNet method) (TALENT.model.models.snn.SNN method) (TALENT.model.models.tabr.TabR method) (TALENT.model.models.tangos.Tangos method)

forward_grad() (TALENT.model.models.grownet.DynamicNet method) ForwardType (class in TALENT.model.models.grownet) from_file() (TALENT.model.models.grownet.DynamicNet class method)

G

GatingNet (class in TALENT.model.models.protogate) geglu() (in module TALENT.model.models.ftt) (in module TALENT.model.models.resnet) get_activation() (in module TALENT.model.models.protogate) get_activation_fn() (in module TALENT.model.models.ftt) (in module TALENT.model.models.resnet) get_attention_mask() (TALENT.model.models.excelformer.MultiheadAttention method) get_categories() (in module TALENT.model.lib.data) get_classical_args() (in module TALENT.model.utils)

get_dataset() (in module TALENT.model.lib.data) get_deep_args() (in module TALENT.model.utils) get_device() (in module TALENT.model.utils) get_method() (in module TALENT.model.utils) get_model() (TALENT.model.models.grownet.MLP_2HL class method) get_nonglu_activation_fn() (in module TALENT.model.models.ftt) (in module TALENT.model.models.resnet) get_stochastic_gate() (TALENT.model.models.protogate.GatingNet method) GRADIENT (TALENT.model.models.grownet.ForwardType attribute) GRANDE (class in TALENT.model.models.grande)

H

hard_sigmoid() (TALENT.model.models.protogate.GatingNet method)

has_rsample (TALENT.model.models.protogate.PL attribute) HybridSort (class in TALENT.model.models.protogate)

I

info (TALENT.model.lib.data.Dataset attribute) is_binclass (TALENT.model.lib.data.Dataset property)

is_multiclass (TALENT.model.lib.data.Dataset property) is_regression (TALENT.model.lib.data.Dataset property) item() (TALENT.model.utils.Averager method)

K

KnnMethod (class in TALENT.model.classical_methods.knn)

KNNNet (class in TALENT.model.models.protogate)

L

LightGBMMethod (class in TALENT.model.classical_methods.lightgbm) LinearRegressionMethod (class in TALENT.model.classical_methods.lr) load_config() (in module TALENT.model.utils)

load_json() (in module TALENT.model.lib.data) load_result_minimal() (TALENT.model.models.tabpfn.TabPFNClassifier method) log_prob() (TALENT.model.models.protogate.PL method) LogRegMethod (class in TALENT.model.classical_methods.logreg)

M

make_layer() (TALENT.model.models.modernNCA.ModernNCA method) mean (TALENT.model.models.protogate.PL property) measure() (TALENT.model.utils.Timer method) merge_sampled_parameters() (in module TALENT.model.utils) Method (class in TALENT.model.methods.base) metric() (TALENT.model.classical_methods.base.classical_methods method) (TALENT.model.classical_methods.dummy.DummyMethod method) (TALENT.model.classical_methods.lr.LinearRegressionMethod method) (TALENT.model.classical_methods.ncm.NCMMethod method) (TALENT.model.classical_methods.svm.SvmMethod method) (TALENT.model.methods.base.Method method) mkdir() (in module TALENT.model.utils) MLP (class in TALENT.model.models.mlp) MLP_2HL (class in TALENT.model.models.grownet) MLP_Block (class in TALENT.model.models.modernNCA) models_in_memory (TALENT.model.models.tabpfn.TabPFNClassifier attribute) ModernNCA (class in TALENT.model.models.modernNCA) module TALENT.model.classical_methods.base TALENT.model.classical_methods.catboost TALENT.model.classical_methods.dummy TALENT.model.classical_methods.knn TALENT.model.classical_methods.lightgbm TALENT.model.classical_methods.logreg TALENT.model.classical_methods.lr TALENT.model.classical_methods.naivebayes TALENT.model.classical_methods.ncm TALENT.model.classical_methods.randomforest TALENT.model.classical_methods.svm TALENT.model.classical_methods.xgboost TALENT.model.lib.data TALENT.model.methods.base TALENT.model.models.excelformer TALENT.model.models.ftt TALENT.model.models.grande TALENT.model.models.grownet TALENT.model.models.mlp TALENT.model.models.modernNCA TALENT.model.models.node TALENT.model.models.protogate TALENT.model.models.resnet TALENT.model.models.snn TALENT.model.models.tabnet TALENT.model.models.tabpfn TALENT.model.models.tabr TALENT.model.models.tangos TALENT.model.utils

MultiheadAttention (class in TALENT.model.models.excelformer) (class in TALENT.model.models.ftt)

N

N (TALENT.model.lib.data.Dataset attribute) n_cat_features (TALENT.model.lib.data.Dataset property) n_features (TALENT.model.lib.data.Dataset property) n_num_features (TALENT.model.lib.data.Dataset property) n_tokens (TALENT.model.models.excelformer.Tokenizer property) (TALENT.model.models.ftt.Tokenizer property)

NaiveBayesMethod (class in TALENT.model.classical_methods.naivebayes) NCMMethod (class in TALENT.model.classical_methods.ncm) NODE (class in TALENT.model.models.node) num_enc_process() (in module TALENT.model.lib.data)

P

parameters() (TALENT.model.models.grownet.DynamicNet method) PL (class in TALENT.model.models.protogate) pprint() (in module TALENT.model.utils) predict() (TALENT.model.classical_methods.catboost.CatBoostMethod method) (TALENT.model.classical_methods.dummy.DummyMethod method) (TALENT.model.classical_methods.knn.KnnMethod method) (TALENT.model.classical_methods.logreg.LogRegMethod method) (TALENT.model.classical_methods.lr.LinearRegressionMethod method) (TALENT.model.classical_methods.ncm.NCMMethod method) (TALENT.model.classical_methods.svm.SvmMethod method) (TALENT.model.classical_methods.xgboost.XGBoostMethod method) (TALENT.model.methods.base.Method method) (TALENT.model.models.tabpfn.TabPFNClassifier method)

predict_func() (TALENT.model.models.tabnet.TabNetClassifier method) (TALENT.model.models.tabnet.TabNetRegressor method) predict_proba() (TALENT.model.models.tabnet.TabNetClassifier method) (TALENT.model.models.tabpfn.TabPFNClassifier method) prepare_target() (TALENT.model.models.tabnet.TabNetClassifier method) (TALENT.model.models.tabnet.TabNetRegressor method) preprocess_data() (TALENT.model.models.grande.GRANDE method)

R

raise_unknown() (in module TALENT.model.lib.data) RandomForestMethod (class in TALENT.model.classical_methods.randomforest) reglu() (in module TALENT.model.models.ftt) (in module TALENT.model.models.resnet) relaxed_sort() (TALENT.model.models.protogate.PL method) remove_models_from_memory() (TALENT.model.models.tabpfn.TabPFNClassifier method)

reset_parameters() (TALENT.model.models.tabr.TabR method) reset_stats_withconfig() (TALENT.model.classical_methods.base.classical_methods method) (TALENT.model.methods.base.Method method) ResNet (class in TALENT.model.models.resnet) rmse() (in module TALENT.model.utils) rsample() (TALENT.model.models.protogate.PL method)

S

sample_parameters() (in module TALENT.model.utils) set_gpu() (in module TALENT.model.utils) set_params() (TALENT.model.models.grande.GRANDE method) set_seeds() (in module TALENT.model.utils) show_results() (in module TALENT.model.utils) show_results_classical() (in module TALENT.model.utils) SIMPLE (TALENT.model.models.grownet.ForwardType attribute)

size() (TALENT.model.lib.data.Dataset method) SNN (class in TALENT.model.models.snn) SpLinear (class in TALENT.model.models.grownet) SpLinearFunc (class in TALENT.model.models.grownet) stack_batches() (TALENT.model.models.tabnet.TabNetClassifier method) (TALENT.model.models.tabnet.TabNetRegressor method) STACKED (TALENT.model.models.grownet.ForwardType attribute) SvmMethod (class in TALENT.model.classical_methods.svm)

T

TabNetClassifier (class in TALENT.model.models.tabnet) TabNetRegressor (class in TALENT.model.models.tabnet) TabPFNClassifier (class in TALENT.model.models.tabpfn) TabR (class in TALENT.model.models.tabr) TALENT.model.classical_methods.base module TALENT.model.classical_methods.catboost module TALENT.model.classical_methods.dummy module TALENT.model.classical_methods.knn module TALENT.model.classical_methods.lightgbm module TALENT.model.classical_methods.logreg module TALENT.model.classical_methods.lr module TALENT.model.classical_methods.naivebayes module TALENT.model.classical_methods.ncm module TALENT.model.classical_methods.randomforest module TALENT.model.classical_methods.svm module TALENT.model.classical_methods.xgboost module TALENT.model.lib.data module TALENT.model.methods.base module TALENT.model.models.excelformer module TALENT.model.models.ftt module TALENT.model.models.grande module

TALENT.model.models.grownet module TALENT.model.models.mlp module TALENT.model.models.modernNCA module TALENT.model.models.node module TALENT.model.models.protogate module TALENT.model.models.resnet module TALENT.model.models.snn module TALENT.model.models.tabnet module TALENT.model.models.tabpfn module TALENT.model.models.tabr module TALENT.model.models.tangos module TALENT.model.utils module Tangos (class in TALENT.model.models.tangos) Timer (class in TALENT.model.utils) to_cuda() (TALENT.model.models.grownet.DynamicNet method) to_double() (TALENT.model.models.grownet.DynamicNet method) to_eval() (TALENT.model.models.grownet.DynamicNet method) to_file() (TALENT.model.models.grownet.DynamicNet method) to_tensors() (in module TALENT.model.lib.data) to_train() (TALENT.model.models.grownet.DynamicNet method) Tokenizer (class in TALENT.model.models.excelformer) (class in TALENT.model.models.ftt) train_epoch() (TALENT.model.methods.base.Method method) Transformer (class in TALENT.model.models.ftt) tune_hyper_parameters() (in module TALENT.model.utils)

U

update_fit_params() (TALENT.model.models.tabnet.TabNetClassifier method) (TALENT.model.models.tabnet.TabNetRegressor method)

V

validate() (TALENT.model.methods.base.Method method)

W

weight_updater() (TALENT.model.models.tabnet.TabNetClassifier method)

X

XGBoostMethod (class in TALENT.model.classical_methods.xgboost)

Y

y (TALENT.model.lib.data.Dataset attribute)

Z

zero_grad() (TALENT.model.models.grownet.DynamicNet method)