Index _ | A | B | C | D | E | F | G | I | L | M | N | O | P | R | S | T | U | V | W | Z _ __add__() (autrainer.transforms.SmartCompose method) __call__() (autrainer.augmentations.AbstractAugmentation method) (autrainer.metrics.AbstractMetric method) (autrainer.transforms.AbstractTransform method) (autrainer.transforms.SmartCompose method) __getitem__() (autrainer.datasets.utils.DatasetWrapper method) A AbstractAugmentation (class in autrainer.augmentations) AbstractConstants (class in autrainer.core.constants) AbstractDataset (class in autrainer.datasets) AbstractFileHandler (class in autrainer.datasets.utils) AbstractLogger (class in autrainer.loggers) AbstractMetric (class in autrainer.metrics) AbstractModel (class in autrainer.models) AbstractTargetTransform (class in autrainer.datasets.utils) AbstractTransform (class in autrainer.transforms) Accuracy (class in autrainer.metrics) aggregate() (autrainer.postprocessing.AggregateGrid method) AggregateGrid (class in autrainer.postprocessing) AIBO (class in autrainer.datasets) AlbumentationsAugmentation (class in autrainer.augmentations) AnyToTensor (class in autrainer.transforms) apply() (autrainer.augmentations.AbstractAugmentation method) (autrainer.augmentations.Choice method) (autrainer.augmentations.Sequential method) ARTIFACTS (autrainer.core.constants.ExportConstants property) ASTModel (class in autrainer.models) AudioFileHandler (class in autrainer.datasets.utils) AudiomentationsAugmentation (class in autrainer.augmentations) AudioRNNModel (class in autrainer.models) AugmentationManager (class in autrainer.augmentations) AugmentationPipeline (class in autrainer.augmentations) autrainer.postprocessing module autrainer.transforms module B BalancedCrossEntropyLoss (class in autrainer.criterions) BaseAscendingMetric (class in autrainer.metrics) BaseClassificationDataset (class in autrainer.datasets) BaseDescendingMetric (class in autrainer.metrics) BaseMLClassificationDataset (class in autrainer.datasets) BaseMTRegressionDataset (class in autrainer.datasets) BaseRegressionDataset (class in autrainer.datasets) Bookkeeping (class in autrainer.core.utils) C CallbackSignature (class in autrainer.training) cb_on_iteration_begin() (autrainer.training.CallbackSignature method) cb_on_iteration_end() (autrainer.training.CallbackSignature method) cb_on_loader_exhausted() (autrainer.training.CallbackSignature method) cb_on_step_begin() (autrainer.training.CallbackSignature method) cb_on_step_end() (autrainer.training.CallbackSignature method) cb_on_test_begin() (autrainer.training.CallbackSignature method) cb_on_test_end() (autrainer.training.CallbackSignature method) cb_on_test_step_begin() (autrainer.training.CallbackSignature method) cb_on_test_step_end() (autrainer.training.CallbackSignature method) cb_on_train_begin() (autrainer.training.CallbackSignature method) cb_on_train_end() (autrainer.training.CallbackSignature method) cb_on_val_begin() (autrainer.training.CallbackSignature method) cb_on_val_end() (autrainer.training.CallbackSignature method) cb_on_val_step_begin() (autrainer.training.CallbackSignature method) cb_on_val_step_end() (autrainer.training.CallbackSignature method) CCC (class in autrainer.metrics) cfg (autrainer.training.ModularTaskTrainer property) Choice (class in autrainer.augmentations) Cnn10 (class in autrainer.models) Cnn14 (class in autrainer.models) compare() (autrainer.metrics.AbstractMetric static method) CONFIG_DIRS (autrainer.core.constants.NamingConstants property) create() (in module autrainer.cli) create_folder() (autrainer.core.utils.Bookkeeping method) create_pipeline() (autrainer.augmentations.AugmentationPipeline method) CrossEntropyLoss (class in autrainer.criterions) CutMix (class in autrainer.augmentations) D DatasetWrapper (class in autrainer.datasets.utils) DCASE2016Task1 (class in autrainer.datasets) DCASE2018Task3 (class in autrainer.datasets) DCASE2020Task1A (class in autrainer.datasets) decode() (autrainer.datasets.utils.AbstractTargetTransform method) (autrainer.datasets.utils.LabelEncoder method) (autrainer.datasets.utils.MinMaxScaler method) (autrainer.datasets.utils.MultiLabelEncoder method) dev_dataset (autrainer.datasets.AbstractDataset property) dev_loader (autrainer.datasets.AbstractDataset property) download() (autrainer.datasets.AbstractDataset static method) (autrainer.datasets.AIBO static method) (autrainer.datasets.DCASE2016Task1 static method) (autrainer.datasets.DCASE2018Task3 static method) (autrainer.datasets.DCASE2020Task1A static method) (autrainer.datasets.EDANSA2019 static method) (autrainer.datasets.EmoDB static method) (autrainer.datasets.SpeechCommands static method) (autrainer.datasets.utils.ZipDownloadManager method) E EDANSA2019 (class in autrainer.datasets) embed_directory() (autrainer.serving.Inference method) embed_file() (autrainer.serving.Inference method) embeddings() (autrainer.models.AbstractModel method) EmoDB (class in autrainer.datasets) encode() (autrainer.datasets.utils.AbstractTargetTransform method) (autrainer.datasets.utils.LabelEncoder method) (autrainer.datasets.utils.MinMaxScaler method) (autrainer.datasets.utils.MultiLabelEncoder method) end_run() (autrainer.loggers.AbstractLogger method) evaluate() (autrainer.training.ModularTaskTrainer method) Expand (class in autrainer.transforms) ExportConstants (class in autrainer.core.constants) extract() (autrainer.datasets.utils.ZipDownloadManager method) F F1 (class in autrainer.metrics) FallbackLogger (class in autrainer.loggers) FeatureExtractor (class in autrainer.transforms) fetch() (in module autrainer.cli) FFNN (class in autrainer.models) forward() (autrainer.criterions.CrossEntropyLoss method) (autrainer.criterions.MSELoss method) (autrainer.models.AbstractModel method) FrequencyMask (class in autrainer.augmentations) G GaussianNoise (class in autrainer.augmentations) get_augmentations() (autrainer.augmentations.AugmentationManager method) get_best() (autrainer.metrics.AbstractMetric static method) get_best_pos() (autrainer.metrics.AbstractMetric static method) get_collate_fn() (autrainer.transforms.SmartCompose method) get_evaluation_data() (autrainer.datasets.AbstractDataset method) get_hardware_info() (in module autrainer.core.utils) get_mean_seconds() (autrainer.core.utils.Timer method) get_time_log() (autrainer.core.utils.Timer method) get_total_seconds() (autrainer.core.utils.Timer method) get_transforms() (autrainer.transforms.TransformManager method) GrayscaleToRGB (class in autrainer.transforms) group() (in module autrainer.cli) group_runs() (autrainer.postprocessing.GroupGrid method) GroupGrid (class in autrainer.postprocessing) I IdentityFileHandler (class in autrainer.datasets.utils) IGNORE_PARAMS (autrainer.core.constants.ExportConstants property) ImageFileHandler (class in autrainer.datasets.utils) Inference (class in autrainer.serving) inference() (in module autrainer.cli) instantiate() (in module autrainer) instantiate_shorthand() (in module autrainer) INVALID_AGGREGATIONS (autrainer.core.constants.NamingConstants property) L LabelEncoder (class in autrainer.datasets.utils) LEAFNet (class in autrainer.models) list() (in module autrainer.cli) load() (autrainer.datasets.utils.AbstractFileHandler method) (autrainer.datasets.utils.AudioFileHandler method) (autrainer.datasets.utils.IdentityFileHandler method) (autrainer.datasets.utils.ImageFileHandler method) (autrainer.datasets.utils.NumpyFileHandler method) load_dataframes() (autrainer.datasets.AbstractDataset method) (autrainer.datasets.AIBO method) (autrainer.datasets.DCASE2016Task1 method) (autrainer.datasets.DCASE2018Task3 method) (autrainer.datasets.DCASE2020Task1A method) (autrainer.datasets.EmoDB method) load_state() (autrainer.core.utils.Bookkeeping method) log() (autrainer.core.utils.Bookkeeping method) log_and_update_metrics() (autrainer.loggers.AbstractLogger method) log_artifact() (autrainer.loggers.AbstractLogger method) log_metrics() (autrainer.loggers.AbstractLogger method) log_params() (autrainer.loggers.AbstractLogger method) log_timers() (autrainer.loggers.AbstractLogger method) log_to_file() (autrainer.core.utils.Bookkeeping method) LOGGING_DEPTH (autrainer.core.constants.ExportConstants property) M MAE (class in autrainer.metrics) main() (in module autrainer) majority_vote() (autrainer.datasets.utils.AbstractTargetTransform method) (autrainer.datasets.utils.LabelEncoder method) (autrainer.datasets.utils.MinMaxScaler method) (autrainer.datasets.utils.MultiLabelEncoder method) MinMaxScaler (class in autrainer.datasets.utils) MixUp (class in autrainer.augmentations) MLAccuracy (class in autrainer.metrics) MLF1Macro (class in autrainer.metrics) MLF1Micro (class in autrainer.metrics) MLF1Weighted (class in autrainer.metrics) MLFlowLogger (in module autrainer.loggers) ModularTaskTrainer (class in autrainer.training) module autrainer.postprocessing autrainer.transforms MSE (class in autrainer.metrics) MSELoss (class in autrainer.criterions) MultiLabelEncoder (class in autrainer.datasets.utils) N NAMING_CONVENTION (autrainer.core.constants.NamingConstants property) NamingConstants (class in autrainer.core.constants) Normalize (class in autrainer.transforms) NumpyFileHandler (class in autrainer.datasets.utils) NumpyToTensor (class in autrainer.transforms) O OpenSMILE (class in autrainer.transforms) output_dim (autrainer.datasets.AbstractDataset property) P PannMel (class in autrainer.transforms) PCC (class in autrainer.metrics) plot_aggregated_bars() (autrainer.core.plotting.PlotMetrics method) (autrainer.postprocessing.SummarizeGrid method) plot_metric() (autrainer.core.plotting.PlotMetrics method) plot_metrics() (autrainer.postprocessing.SummarizeGrid method) plot_run() (autrainer.core.plotting.PlotMetrics method) PlotBase (class in autrainer.core.plotting) PlotMetrics (class in autrainer.core.plotting) postprocess() (in module autrainer.cli) predict_directory() (autrainer.serving.Inference method) predict_file() (autrainer.serving.Inference method) predict_inference() (autrainer.datasets.utils.AbstractTargetTransform method) (autrainer.datasets.utils.LabelEncoder method) (autrainer.datasets.utils.MinMaxScaler method) (autrainer.datasets.utils.MultiLabelEncoder method) preprocess() (in module autrainer.cli) pretty_time() (autrainer.core.utils.Timer class method) probabilities_inference() (autrainer.datasets.utils.AbstractTargetTransform method) (autrainer.datasets.utils.LabelEncoder method) (autrainer.datasets.utils.MinMaxScaler method) (autrainer.datasets.utils.MultiLabelEncoder method) probabilities_to_dict() (autrainer.datasets.utils.AbstractTargetTransform method) (autrainer.datasets.utils.LabelEncoder method) (autrainer.datasets.utils.MinMaxScaler method) (autrainer.datasets.utils.MultiLabelEncoder method) probabilities_training() (autrainer.datasets.utils.AbstractTargetTransform method) (autrainer.datasets.utils.LabelEncoder method) (autrainer.datasets.utils.MinMaxScaler method) (autrainer.datasets.utils.MultiLabelEncoder method) R RandomCrop (class in autrainer.transforms) Resample (class in autrainer.transforms) Resize (class in autrainer.transforms) RGBAToGrayscale (class in autrainer.transforms) RGBAToRGB (class in autrainer.transforms) RGBToGrayscale (class in autrainer.transforms) rm_failed() (in module autrainer.cli) rm_states() (in module autrainer.cli) S SAM (class in autrainer.optimizers) SampleGaussianWhiteNoise (class in autrainer.augmentations) save() (autrainer.core.utils.Timer method) (autrainer.datasets.utils.AbstractFileHandler method) (autrainer.datasets.utils.AudioFileHandler method) (autrainer.datasets.utils.IdentityFileHandler method) (autrainer.datasets.utils.ImageFileHandler method) (autrainer.datasets.utils.NumpyFileHandler method) save_audobject() (autrainer.core.utils.Bookkeeping method) save_best_results() (autrainer.core.utils.Bookkeeping method) save_embeddings() (autrainer.serving.Inference static method) save_hardware_info() (in module autrainer.core.utils) save_model_summary() (autrainer.core.utils.Bookkeeping method) save_plot() (autrainer.core.plotting.PlotBase method) save_prediction_results() (autrainer.serving.Inference static method) save_prediction_yaml() (autrainer.serving.Inference static method) save_results_df() (autrainer.core.utils.Bookkeeping method) save_results_dict() (autrainer.core.utils.Bookkeeping method) save_results_np() (autrainer.core.utils.Bookkeeping method) save_state() (autrainer.core.utils.Bookkeeping method) ScaleRange (class in autrainer.transforms) SeqFFNN (class in autrainer.models) Sequential (class in autrainer.augmentations) set_seed() (in module autrainer.core.utils) setup() (autrainer.criterions.BalancedCrossEntropyLoss method) (autrainer.loggers.AbstractLogger method) show() (in module autrainer.cli) silence() (in module autrainer.core.utils) SmartCompose (class in autrainer.transforms) SpecAugment (class in autrainer.augmentations) SpectToImage (class in autrainer.transforms) SpeechCommands (class in autrainer.datasets) SquarePadCrop (class in autrainer.transforms) start() (autrainer.core.utils.Timer method) starting_metric (autrainer.metrics.AbstractMetric property) (autrainer.metrics.BaseAscendingMetric property) (autrainer.metrics.BaseDescendingMetric property) StereoToMono (class in autrainer.transforms) stop() (autrainer.core.utils.Timer method) suffix (autrainer.metrics.AbstractMetric property) (autrainer.metrics.BaseAscendingMetric property) (autrainer.metrics.BaseDescendingMetric property) summarize() (autrainer.postprocessing.AggregateGrid method) (autrainer.postprocessing.SummarizeGrid method) SummarizeGrid (class in autrainer.postprocessing) T target_transform (autrainer.datasets.AbstractDataset property) (autrainer.datasets.BaseClassificationDataset property) (autrainer.datasets.BaseMLClassificationDataset property) (autrainer.datasets.BaseMTRegressionDataset property) (autrainer.datasets.BaseRegressionDataset property) TASKS (autrainer.core.constants.TrainingConstants property) TDNNFFNN (class in autrainer.models) TensorBoardLogger (in module autrainer.loggers) test_dataset (autrainer.datasets.AbstractDataset property) test_loader (autrainer.datasets.AbstractDataset property) TimeMask (class in autrainer.augmentations) Timer (class in autrainer.core.utils) TimeShift (class in autrainer.augmentations) TimeWarp (class in autrainer.augmentations) TimmModel (class in autrainer.models) TorchaudioAugmentation (class in autrainer.augmentations) TorchAudiomentationsAugmentation (class in autrainer.augmentations) TorchvisionAugmentation (class in autrainer.augmentations) TorchvisionModel (class in autrainer.models) ToyDataset (class in autrainer.datasets) train() (autrainer.training.ModularTaskTrainer method) (in module autrainer.cli) train_dataset (autrainer.datasets.AbstractDataset property) train_loader (autrainer.datasets.AbstractDataset property) TrainingConstants (class in autrainer.core.constants) TransformManager (class in autrainer.transforms) U UAR (class in autrainer.metrics) unitary() (autrainer.metrics.AbstractMetric method) V VALID_AGGREGATIONS (autrainer.core.constants.NamingConstants property) W W2V2FFNN (class in autrainer.models) WhisperFFNN (class in autrainer.models) Z ZipDownloadManager (class in autrainer.datasets.utils)
