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) AbstractDataBatch (class in autrainer.datasets.utils) AbstractDataItem (class in autrainer.datasets.utils) 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) audio_subdir (autrainer.datasets.AbstractDataset property) (autrainer.datasets.AIBO property) (autrainer.datasets.AudioSet property) (autrainer.datasets.MSPPodcast property) AudioFileHandler (class in autrainer.datasets.utils) AudiomentationsAugmentation (class in autrainer.augmentations) AudioRNNModel (class in autrainer.models) AudioSet (class in autrainer.datasets) AugmentationManager (class in autrainer.augmentations) AugmentationPipeline (class in autrainer.augmentations) autrainer.postprocessing module autrainer.transforms module B BalancedBCEWithLogitsLoss (class in autrainer.criterions) 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) BCEWithLogitsLoss (class in autrainer.criterions) 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) Choice (class in autrainer.augmentations) Cnn10 (class in autrainer.models) Cnn14 (class in autrainer.models) collate() (autrainer.datasets.utils.AbstractDataBatch class method) 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 DataBatch (class in autrainer.datasets.utils) DataItem (class in autrainer.datasets.utils) 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) df_dev (autrainer.datasets.AbstractDataset property) (autrainer.datasets.AIBO property) (autrainer.datasets.AudioSet property) (autrainer.datasets.DCASE2016Task1 property) (autrainer.datasets.DCASE2018Task3 property) (autrainer.datasets.DCASE2020Task1A property) (autrainer.datasets.EmoDB property) (autrainer.datasets.MSPPodcast property) df_test (autrainer.datasets.AbstractDataset property) (autrainer.datasets.AIBO property) (autrainer.datasets.AudioSet property) (autrainer.datasets.DCASE2016Task1 property) (autrainer.datasets.DCASE2020Task1A property) (autrainer.datasets.EmoDB property) (autrainer.datasets.MSPPodcast property) df_train (autrainer.datasets.AbstractDataset property) (autrainer.datasets.AIBO property) (autrainer.datasets.AudioSet property) (autrainer.datasets.DCASE2016Task1 property) (autrainer.datasets.DCASE2018Task3 property) (autrainer.datasets.DCASE2020Task1A property) (autrainer.datasets.EmoDB property) (autrainer.datasets.MSPPodcast property) download() (autrainer.datasets.AbstractDataset static method) (autrainer.datasets.AIBO static method) (autrainer.datasets.AudioSet 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.MSPPodcast 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) 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.BalancedBCEWithLogitsLoss method) (autrainer.criterions.BCEWithLogitsLoss method) (autrainer.criterions.CrossEntropyLoss method) (autrainer.criterions.MSELoss method) (autrainer.criterions.WeightedMSELoss 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_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) ImageToFloat (class in autrainer.transforms) Inference (class in autrainer.serving) inference() (in module autrainer.cli) inputs (autrainer.models.AbstractModel property) 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_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) map_to_classes() (autrainer.datasets.AudioSet 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 (class in autrainer.loggers) ModularTaskTrainer (class in autrainer.training) module autrainer.postprocessing autrainer.transforms MSE (class in autrainer.metrics) MSELoss (class in autrainer.criterions) MSPPodcast (class in autrainer.datasets) 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 offset_generator_seed() (autrainer.augmentations.AbstractAugmentation method) (autrainer.transforms.SmartCompose method) ontology (autrainer.datasets.AudioSet property) 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.BalancedBCEWithLogitsLoss method) (autrainer.criterions.BalancedCrossEntropyLoss method) (autrainer.criterions.WeightedBCEWithLogitsLoss method) (autrainer.criterions.WeightedCrossEntropyLoss method) (autrainer.criterions.WeightedMSELoss 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) Standardizer (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) (autrainer.datasets.MSPPodcast property) TASKS (autrainer.core.constants.TrainingConstants property) TDNNFFNN (class in autrainer.models) TensorBoardLogger (class in autrainer.loggers) test_dataset (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) to() (autrainer.datasets.utils.AbstractDataBatch method) (autrainer.datasets.utils.DataBatch method) 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) 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) WeightedBCEWithLogitsLoss (class in autrainer.criterions) WeightedCrossEntropyLoss (class in autrainer.criterions) WeightedMSELoss (class in autrainer.criterions) WhisperFFNN (class in autrainer.models) Z ZipDownloadManager (class in autrainer.datasets.utils)
