Index

_

__add__() (fit.core.tensor.Tensor method) __call__() (fit.loss.classification.BinaryCrossEntropyLoss method) (fit.loss.classification.CrossEntropyLoss method) (fit.loss.classification.FocalLoss method) (fit.loss.classification.NLLLoss method) (fit.loss.regression.CosineSimilarityLoss method) (fit.loss.regression.HuberLoss method) (fit.loss.regression.LogCoshLoss method) (fit.loss.regression.MAELoss method) (fit.loss.regression.MSELoss method) (fit.loss.regression.QuantileLoss method) (fit.loss.regression.SmoothL1Loss method) (fit.nn.modules.base.Layer method) __delitem__() (fit.nn.modules.base.ParameterDict method) __eq__() (fit.core.tensor.Tensor method) __getitem__() (fit.core.tensor.Tensor method) (fit.data.dataset.ConcatDataset method) (fit.data.dataset.Dataset method) (fit.data.dataset.Subset method) (fit.data.dataset.TensorDataset method) (fit.nn.modules.base.ParameterDict method) __hash__() (fit.core.tensor.Tensor method) __init__() (fit.core.autograd.Node method) (fit.core.tensor.Tensor method) (fit.data.dataloader.BatchSampler method) (fit.data.dataloader.DataLoader method) (fit.data.dataloader.DataLoaderIter method) (fit.data.dataloader.DistributedSampler method) (fit.data.dataloader.SubsetRandomSampler method) (fit.data.dataloader.WeightedRandomSampler method) (fit.data.dataset.ConcatDataset method) (fit.data.dataset.Dataset method) (fit.data.dataset.RandomSampler method) (fit.data.dataset.SequentialSampler method) (fit.data.dataset.Subset method) (fit.data.dataset.TensorDataset method) (fit.data.feature_selection.RFE method) (fit.data.feature_selection.SelectKBest method) (fit.data.feature_selection.SelectPercentile method) (fit.data.feature_selection.VarianceThreshold method) (fit.data.preprocessing.LabelEncoder method) (fit.data.preprocessing.MinMaxScaler method) (fit.data.preprocessing.OneHotEncoder method) (fit.data.preprocessing.StandardScaler method) (fit.ensemble.base.BaggingClassifier method) (fit.ensemble.base.BaseEnsemble method) (fit.ensemble.base.VotingClassifier method) (fit.ensemble.boosting.AdaBoostClassifier method) (fit.ensemble.boosting.GradientBoostingClassifier method) (fit.ensemble.boosting.SimpleBoostingClassifier method) (fit.loss.classification.BinaryCrossEntropyLoss method) (fit.loss.classification.CrossEntropyLoss method) (fit.loss.classification.FocalLoss method) (fit.loss.classification.NLLLoss method) (fit.loss.regression.CosineSimilarityLoss method) (fit.loss.regression.HuberLoss method) (fit.loss.regression.LogCoshLoss method) (fit.loss.regression.MAELoss method) (fit.loss.regression.MSELoss method) (fit.loss.regression.QuantileLoss method) (fit.loss.regression.SmoothL1Loss method) (fit.monitor.tracker.TrainingTracker method) (fit.nn.modules.activation.Dropout method) (fit.nn.modules.activation.ELU method) (fit.nn.modules.activation.LeakyReLU method) (fit.nn.modules.attention.CausalSelfAttention method) (fit.nn.modules.attention.CrossAttention method) (fit.nn.modules.attention.MultiHeadAttention method) (fit.nn.modules.attention.ScaledDotProductAttention method) (fit.nn.modules.attention.SelfAttention method) (fit.nn.modules.base.Lambda method) (fit.nn.modules.base.Layer method) (fit.nn.modules.base.ParameterDict method) (fit.nn.modules.base.ParameterList method) (fit.nn.modules.container.Highway method) (fit.nn.modules.container.ModuleDict method) (fit.nn.modules.container.ModuleList method) (fit.nn.modules.container.Parallel method) (fit.nn.modules.container.Residual method) (fit.nn.modules.container.Sequential method) (fit.nn.modules.linear.Bilinear method) (fit.nn.modules.linear.Embedding method) (fit.nn.modules.linear.Flatten method) (fit.nn.modules.linear.Linear method) (fit.nn.modules.normalization.BatchNorm method) (fit.nn.modules.normalization.LayerNorm method) (fit.nn.modules.transformer.Embedding method) (fit.nn.modules.transformer.FeedForward method) (fit.nn.modules.transformer.PositionalEncoding method) (fit.nn.modules.transformer.Transformer method) (fit.nn.modules.transformer.TransformerDecoder method) (fit.nn.modules.transformer.TransformerDecoderBlock method) (fit.nn.modules.transformer.TransformerEncoder method) (fit.nn.modules.transformer.TransformerEncoderBlock method) (fit.optim.adam.Adam method) (fit.optim.adam.Adamax method) (fit.optim.adam.AdamW method) (fit.optim.adam.NAdam method) (fit.optim.experimental.lion.Lion method) (fit.optim.experimental.sam.AdaptiveSAM method) (fit.optim.experimental.sam.SAM method) (fit.optim.sgd.SGD method) (fit.optim.sgd.SGDMomentum method) (fit.simple.trainer.SimpleTrainer method)

__iter__() (fit.data.dataloader.BatchSampler method) (fit.data.dataloader.DataLoader method) (fit.data.dataloader.DataLoaderIter method) (fit.data.dataloader.DistributedSampler method) (fit.data.dataloader.SubsetRandomSampler method) (fit.data.dataloader.WeightedRandomSampler method) (fit.data.dataset.RandomSampler method) (fit.data.dataset.SequentialSampler method) __len__() (fit.data.dataloader.BatchSampler method) (fit.data.dataloader.DataLoader method) (fit.data.dataloader.DataLoaderIter method) (fit.data.dataloader.DistributedSampler method) (fit.data.dataloader.SubsetRandomSampler method) (fit.data.dataloader.WeightedRandomSampler method) (fit.data.dataset.ConcatDataset method) (fit.data.dataset.Dataset method) (fit.data.dataset.RandomSampler method) (fit.data.dataset.SequentialSampler method) (fit.data.dataset.Subset method) (fit.data.dataset.TensorDataset method) __matmul__() (fit.core.tensor.Tensor method) __mul__() (fit.core.tensor.Tensor method) __next__() (fit.data.dataloader.DataLoaderIter method) __pow__() (fit.core.tensor.Tensor method) __radd__() (fit.core.tensor.Tensor method) __repr__() (fit.core.tensor.Tensor method) (fit.nn.modules.base.Layer method) __rmul__() (fit.core.tensor.Tensor method) __rsub__() (fit.core.tensor.Tensor method) __rtruediv__() (fit.core.tensor.Tensor method) __setitem__() (fit.nn.modules.base.ParameterDict method) __str__() (fit.monitor.tracker.TrainingTracker method) __sub__() (fit.core.tensor.Tensor method) __truediv__() (fit.core.tensor.Tensor method)

A

abs() (in module fit.core.ops) AdaBoostClassifier (class in fit.ensemble.boosting) Adam (class in fit.optim.adam) Adamax (class in fit.optim.adam) AdamW (class in fit.optim.adam) AdaptiveSAM (class in fit.optim.experimental.sam) Add (class in fit.core.autograd) add_child() (fit.nn.modules.base.Layer method) add_layer() (fit.nn.modules.container.Parallel method) (fit.nn.modules.container.Sequential method) add_parameter() (fit.nn.modules.base.Layer method) append() (fit.nn.modules.base.ParameterList method) (fit.nn.modules.container.ModuleList method)

apply() (fit.core.autograd.Add static method) (fit.core.autograd.Exp static method) (fit.core.autograd.Function static method) (fit.core.autograd.Log static method) (fit.core.autograd.MatMul static method) (fit.core.autograd.Mean static method) (fit.core.autograd.Multiply static method) (fit.core.autograd.ReLU static method) (fit.core.autograd.Reshape static method) (fit.core.autograd.Sum static method) (fit.nn.modules.base.Layer method) argmax() (in module fit.core.ops) attention_visualization_helper() (in module fit.nn.modules.attention)

B

backward() (fit.core.autograd.Add static method) (fit.core.autograd.Exp static method) (fit.core.autograd.Function static method) (fit.core.autograd.Log static method) (fit.core.autograd.MatMul static method) (fit.core.autograd.Mean static method) (fit.core.autograd.Multiply static method) (fit.core.autograd.Node method) (fit.core.autograd.ReLU static method) (fit.core.autograd.Reshape static method) (fit.core.autograd.Sum static method) (fit.core.tensor.Tensor method)

BaggingClassifier (class in fit.ensemble.base) BaseEnsemble (class in fit.ensemble.base) batch_index (fit.data.dataloader.DataLoaderIter property) BatchNorm (class in fit.nn.modules.normalization) BatchSampler (class in fit.data.dataloader) Bilinear (class in fit.nn.modules.linear) binary_cross_entropy() (in module fit.core.ops) BinaryCrossEntropyLoss (class in fit.loss.classification)

C

CausalSelfAttention (class in fit.nn.modules.attention) collate_sequences() (in module fit.data.dataloader) collate_tensors() (in module fit.data.dataloader) ConcatDataset (class in fit.data.dataset) concatenate() (in module fit.core.ops) cos() (in module fit.core.ops) cosine_similarity() (in module fit.core.ops)

CosineSimilarityLoss (class in fit.loss.regression) cpu() (fit.nn.modules.base.Layer method) create_look_ahead_mask() (in module fit.nn.modules.attention) create_padding_mask() (in module fit.nn.modules.attention) CrossAttention (class in fit.nn.modules.attention) CrossEntropyLoss (class in fit.loss.classification) cuda() (fit.nn.modules.base.Layer method)

D

DataLoader (class in fit.data.dataloader) DataLoaderIter (class in fit.data.dataloader) Dataset (class in fit.data.dataset) decision_function() (fit.ensemble.boosting.AdaBoostClassifier method) (fit.ensemble.boosting.GradientBoostingClassifier method)

demonstrate_attention() (in module fit.nn.modules.attention) demonstrate_transformer() (in module fit.nn.modules.transformer) DistributedSampler (class in fit.data.dataloader) Dropout (class in fit.nn.modules.activation)

E

einsum() (in module fit.core.ops) ELU (class in fit.nn.modules.activation) Embedding (class in fit.nn.modules.linear) (class in fit.nn.modules.transformer) eval() (fit.nn.modules.activation.Dropout method) (fit.nn.modules.base.Layer method) (fit.nn.modules.container.Highway method) (fit.nn.modules.container.ModuleDict method) (fit.nn.modules.container.ModuleList method) (fit.nn.modules.container.Parallel method) (fit.nn.modules.container.Residual method) (fit.nn.modules.container.Sequential method) (fit.nn.modules.normalization.BatchNorm method)

evaluate() (fit.simple.trainer.SimpleTrainer method) (in module fit.utils.engine) Exp (class in fit.core.autograd) exp() (fit.core.tensor.Tensor method) export() (fit.monitor.tracker.TrainingTracker method) extend() (fit.nn.modules.base.ParameterList method) (fit.nn.modules.container.ModuleList method) extra_repr() (fit.nn.modules.base.Layer method) (fit.nn.modules.linear.Linear method)

F

f_classif() (in module fit.data.feature_selection) f_regression() (in module fit.data.feature_selection) FeedForward (class in fit.nn.modules.transformer) first_step() (fit.optim.experimental.sam.SAM method) fit() (fit.data.feature_selection.RFE method) (fit.data.feature_selection.SelectKBest method) (fit.data.feature_selection.SelectPercentile method) (fit.data.feature_selection.VarianceThreshold method) (fit.data.preprocessing.LabelEncoder method) (fit.data.preprocessing.MinMaxScaler method) (fit.data.preprocessing.OneHotEncoder method) (fit.data.preprocessing.StandardScaler method) (fit.ensemble.base.BaseEnsemble method) (fit.ensemble.base.VotingClassifier method) (fit.ensemble.boosting.AdaBoostClassifier method) (fit.ensemble.boosting.GradientBoostingClassifier method) (fit.ensemble.boosting.SimpleBoostingClassifier method) (fit.simple.trainer.SimpleTrainer method) fit.core.autograd module fit.core.ops module fit.core.tensor module fit.data.dataloader module fit.data.dataset module fit.data.feature_selection module fit.data.preprocessing module fit.ensemble.base module fit.ensemble.boosting module fit.loss.classification module fit.loss.regression module fit.monitor.tracker module fit.nn.modules.activation module fit.nn.modules.attention module fit.nn.modules.base module fit.nn.modules.container module fit.nn.modules.linear module fit.nn.modules.normalization module fit.nn.modules.transformer module fit.nn.utils.model_io module fit.optim.adam module fit.optim.experimental.lion module fit.optim.experimental.sam module fit.optim.sgd module fit.simple.data module fit.simple.trainer module

fit.utils.engine module fit_classifier() (in module fit.simple.trainer) fit_regressor() (in module fit.simple.trainer) fit_transform() (fit.data.feature_selection.RFE method) (fit.data.feature_selection.SelectKBest method) (fit.data.feature_selection.SelectPercentile method) (fit.data.feature_selection.VarianceThreshold method) (fit.data.preprocessing.LabelEncoder method) (fit.data.preprocessing.MinMaxScaler method) (fit.data.preprocessing.OneHotEncoder method) (fit.data.preprocessing.StandardScaler method) Flatten (class in fit.nn.modules.linear) FocalLoss (class in fit.loss.classification) forward() (fit.core.autograd.Function class method) (fit.ensemble.base.BaseEnsemble method) (fit.loss.classification.BinaryCrossEntropyLoss method) (fit.loss.classification.CrossEntropyLoss method) (fit.loss.classification.FocalLoss method) (fit.loss.classification.NLLLoss method) (fit.loss.regression.CosineSimilarityLoss method) (fit.loss.regression.HuberLoss method) (fit.loss.regression.LogCoshLoss method) (fit.loss.regression.MAELoss method) (fit.loss.regression.MSELoss method) (fit.loss.regression.QuantileLoss method) (fit.loss.regression.SmoothL1Loss method) (fit.nn.modules.activation.Dropout method) (fit.nn.modules.activation.ELU method) (fit.nn.modules.activation.GELU method) (fit.nn.modules.activation.LeakyReLU method) (fit.nn.modules.activation.LogSoftmax method) (fit.nn.modules.activation.ReLU method) (fit.nn.modules.activation.Sigmoid method) (fit.nn.modules.activation.Softmax method) (fit.nn.modules.activation.Swish method) (fit.nn.modules.activation.Tanh method) (fit.nn.modules.attention.CausalSelfAttention method) (fit.nn.modules.attention.CrossAttention method) (fit.nn.modules.attention.MultiHeadAttention method) (fit.nn.modules.attention.ScaledDotProductAttention method) (fit.nn.modules.attention.SelfAttention method) (fit.nn.modules.base.Identity method) (fit.nn.modules.base.Lambda method) (fit.nn.modules.base.Layer method) (fit.nn.modules.base.MultiInputLayer method) (fit.nn.modules.base.ParameterDict method) (fit.nn.modules.base.ParameterList method) (fit.nn.modules.container.Highway method) (fit.nn.modules.container.Parallel method) (fit.nn.modules.container.Residual method) (fit.nn.modules.container.Sequential method) (fit.nn.modules.linear.Bilinear method) (fit.nn.modules.linear.Embedding method) (fit.nn.modules.linear.Flatten method) (fit.nn.modules.linear.Identity method) (fit.nn.modules.linear.Linear method) (fit.nn.modules.normalization.BatchNorm method) (fit.nn.modules.normalization.LayerNorm method) (fit.nn.modules.transformer.Embedding method) (fit.nn.modules.transformer.FeedForward method) (fit.nn.modules.transformer.GELU method) (fit.nn.modules.transformer.PositionalEncoding method) (fit.nn.modules.transformer.Transformer method) (fit.nn.modules.transformer.TransformerDecoder method) (fit.nn.modules.transformer.TransformerDecoderBlock method) (fit.nn.modules.transformer.TransformerEncoder method) (fit.nn.modules.transformer.TransformerEncoderBlock method) Function (class in fit.core.autograd)

G

GELU (class in fit.nn.modules.activation) (class in fit.nn.modules.transformer) get_config() (fit.nn.modules.container.Sequential method) (fit.nn.modules.linear.Linear method) (fit.nn.modules.normalization.BatchNorm method)

get_feature_names_out() (fit.data.preprocessing.OneHotEncoder method) get_function() (in module fit.core.autograd) get_sample_data() (in module fit.simple.data) get_subset() (fit.data.dataset.Dataset method) get_support() (fit.data.feature_selection.SelectKBest method) GradientBoostingClassifier (class in fit.ensemble.boosting)

H

Highway (class in fit.nn.modules.container)

HuberLoss (class in fit.loss.regression)

I

Identity (class in fit.nn.modules.base) (class in fit.nn.modules.linear) insert() (fit.nn.modules.container.ModuleList method) inverse_transform() (fit.data.preprocessing.LabelEncoder method) (fit.data.preprocessing.MinMaxScaler method) (fit.data.preprocessing.StandardScaler method)

items() (fit.nn.modules.base.ParameterDict method) (fit.nn.modules.container.ModuleDict method)

K

keys() (fit.nn.modules.base.ParameterDict method) (fit.nn.modules.container.ModuleDict method)

L

LabelEncoder (class in fit.data.preprocessing) Lambda (class in fit.nn.modules.base) Layer (class in fit.nn.modules.base) LayerNorm (class in fit.nn.modules.normalization) LeakyReLU (class in fit.nn.modules.activation) Linear (class in fit.nn.modules.linear) Lion (class in fit.optim.experimental.lion) load() (fit.monitor.tracker.TrainingTracker method) (fit.simple.trainer.SimpleTrainer method) load_dataset() (in module fit.simple.data) load_for_classification() (in module fit.simple.data) load_for_regression() (in module fit.simple.data) load_model() (in module fit.nn.utils.model_io) load_state_dict() (fit.nn.modules.base.Layer method) (fit.optim.adam.Adam method) (fit.optim.adam.AdamW method) (fit.optim.experimental.sam.SAM method) (fit.optim.sgd.SGD method) (fit.optim.sgd.SGDMomentum method)

load_tiny() (in module fit.simple.data) Log (class in fit.core.autograd) log() (fit.core.tensor.Tensor method) log_epoch_time() (fit.monitor.tracker.TrainingTracker method) log_learning_rate() (fit.monitor.tracker.TrainingTracker method) LogCoshLoss (class in fit.loss.regression) LogSoftmax (class in fit.nn.modules.activation) logsumexp() (in module fit.core.ops) lr (fit.optim.experimental.sam.SAM property)

M

MAELoss (class in fit.loss.regression) MatMul (class in fit.core.autograd) matmul() (in module fit.core.ops) Mean (class in fit.core.autograd) mean() (fit.core.tensor.Tensor method) MinMaxScaler (class in fit.data.preprocessing) module fit.core.autograd fit.core.ops fit.core.tensor fit.data.dataloader fit.data.dataset fit.data.feature_selection fit.data.preprocessing fit.ensemble.base fit.ensemble.boosting fit.loss.classification fit.loss.regression fit.monitor.tracker fit.nn.modules.activation fit.nn.modules.attention fit.nn.modules.base fit.nn.modules.container fit.nn.modules.linear fit.nn.modules.normalization fit.nn.modules.transformer fit.nn.utils.model_io fit.optim.adam fit.optim.experimental.lion fit.optim.experimental.sam fit.optim.sgd fit.simple.data fit.simple.trainer fit.utils.engine

Module (class in fit.nn.modules.base) ModuleDict (class in fit.nn.modules.container) ModuleList (class in fit.nn.modules.container) mse_loss() (in module fit.core.ops) MSELoss (class in fit.loss.regression) MultiHeadAttention (class in fit.nn.modules.attention) MultiInputLayer (class in fit.nn.modules.base) Multiply (class in fit.core.autograd) mutual_info_classif() (in module fit.data.feature_selection)

N

NAdam (class in fit.optim.adam) named_parameters() (fit.nn.modules.base.Layer method)

ndim (fit.core.tensor.Tensor property) NLLLoss (class in fit.loss.classification) Node (class in fit.core.autograd)

O

OneHotEncoder (class in fit.data.preprocessing)

ones() (in module fit.core.ops)

P

pairwise_distance() (in module fit.core.ops) Parallel (class in fit.nn.modules.container) ParameterDict (class in fit.nn.modules.base) ParameterList (class in fit.nn.modules.base) parameters() (fit.nn.modules.base.Layer method) pin_memory() (in module fit.data.dataloader) plot_metrics() (fit.monitor.tracker.TrainingTracker method)

PositionalEncoding (class in fit.nn.modules.transformer) predict() (fit.ensemble.base.BaseEnsemble method) (fit.ensemble.base.VotingClassifier method) (fit.ensemble.boosting.AdaBoostClassifier method) (fit.ensemble.boosting.GradientBoostingClassifier method) (fit.simple.trainer.SimpleTrainer method) predict_proba() (fit.ensemble.boosting.GradientBoostingClassifier method)

Q

QuantileLoss (class in fit.loss.regression)

quick_split() (in module fit.simple.data) quick_train() (in module fit.simple.trainer)

R

randn() (in module fit.core.ops) RandomSampler (class in fit.data.dataset) register_function() (in module fit.core.autograd) ReLU (class in fit.core.autograd) (class in fit.nn.modules.activation)

Reshape (class in fit.core.autograd) reshape() (fit.core.tensor.Tensor method) Residual (class in fit.nn.modules.container) RFE (class in fit.data.feature_selection)

S

SAM (class in fit.optim.experimental.sam) save() (fit.simple.trainer.SimpleTrainer method) save_model() (in module fit.nn.utils.model_io) ScaledDotProductAttention (class in fit.nn.modules.attention) second_step() (fit.optim.experimental.sam.SAM method) SelectKBest (class in fit.data.feature_selection) SelectPercentile (class in fit.data.feature_selection) SelfAttention (class in fit.nn.modules.attention) Sequential (class in fit.nn.modules.container) SequentialSampler (class in fit.data.dataset) set_epoch() (fit.data.dataloader.DistributedSampler method) SGD (class in fit.optim.sgd) SGDMomentum (class in fit.optim.sgd) shape (fit.core.tensor.Tensor property) shuffle() (fit.data.dataset.Dataset method) Sigmoid (class in fit.nn.modules.activation) sigmoid() (in module fit.core.ops) SimpleBoostingClassifier (class in fit.ensemble.boosting) SimpleTrainer (class in fit.simple.trainer) sin() (in module fit.core.ops) size (fit.core.tensor.Tensor property) SmoothL1Loss (class in fit.loss.regression) Softmax (class in fit.nn.modules.activation) softmax() (in module fit.core.ops) softmax_cross_entropy() (in module fit.core.ops)

split() (fit.data.dataset.Dataset method) sqrt() (in module fit.core.ops) StandardScaler (class in fit.data.preprocessing) start_training() (fit.monitor.tracker.TrainingTracker method) state_dict() (fit.nn.modules.base.Layer method) (fit.optim.adam.Adam method) (fit.optim.adam.AdamW method) (fit.optim.experimental.sam.SAM method) (fit.optim.sgd.SGD method) (fit.optim.sgd.SGDMomentum method) std() (in module fit.core.ops) step() (fit.optim.adam.Adam method) (fit.optim.adam.Adamax method) (fit.optim.adam.AdamW method) (fit.optim.adam.NAdam method) (fit.optim.experimental.lion.Lion method) (fit.optim.experimental.sam.SAM method) (fit.optim.sgd.SGD method) (fit.optim.sgd.SGDMomentum method) Subset (class in fit.data.dataset) SubsetRandomSampler (class in fit.data.dataloader) Sum (class in fit.core.autograd) sum() (fit.core.tensor.Tensor method) summary() (fit.monitor.tracker.TrainingTracker method) Swish (class in fit.nn.modules.activation)

T

T (fit.core.tensor.Tensor property) Tanh (class in fit.nn.modules.activation) tanh() (in module fit.core.ops) Tensor (class in fit.core.tensor) TensorDataset (class in fit.data.dataset) to() (fit.nn.modules.base.Layer method) train() (fit.nn.modules.activation.Dropout method) (fit.nn.modules.base.Layer method) (fit.nn.modules.container.Highway method) (fit.nn.modules.container.ModuleDict method) (fit.nn.modules.container.ModuleList method) (fit.nn.modules.container.Parallel method) (fit.nn.modules.container.Residual method) (fit.nn.modules.container.Sequential method) (fit.nn.modules.normalization.BatchNorm method) (in module fit.utils.engine)

train_epoch() (in module fit.utils.engine) TrainingTracker (class in fit.monitor.tracker) transform() (fit.data.feature_selection.RFE method) (fit.data.feature_selection.SelectKBest method) (fit.data.feature_selection.SelectPercentile method) (fit.data.feature_selection.VarianceThreshold method) (fit.data.preprocessing.LabelEncoder method) (fit.data.preprocessing.MinMaxScaler method) (fit.data.preprocessing.OneHotEncoder method) (fit.data.preprocessing.StandardScaler method) Transformer (class in fit.nn.modules.transformer) TransformerDecoder (class in fit.nn.modules.transformer) TransformerDecoderBlock (class in fit.nn.modules.transformer) TransformerEncoder (class in fit.nn.modules.transformer) TransformerEncoderBlock (class in fit.nn.modules.transformer) transpose() (in module fit.core.ops)

U

update() (fit.monitor.tracker.TrainingTracker method) (fit.nn.modules.container.ModuleDict method)

V

values() (fit.nn.modules.base.ParameterDict method) (fit.nn.modules.container.ModuleDict method)

var() (in module fit.core.ops) VarianceThreshold (class in fit.data.feature_selection) VotingClassifier (class in fit.ensemble.base)

W

WeightedRandomSampler (class in fit.data.dataloader)

Z

zero_grad() (fit.nn.modules.base.Layer method) (fit.optim.adam.Adam method) (fit.optim.adam.Adamax method) (fit.optim.adam.AdamW method) (fit.optim.adam.NAdam method) (fit.optim.experimental.lion.Lion method) (fit.optim.experimental.sam.SAM method) (fit.optim.sgd.SGD method) (fit.optim.sgd.SGDMomentum method)

zeros() (in module fit.core.ops)