Index

_

__init__() (vak.config.config.Config method) (vak.config.eval.EvalConfig method) (vak.config.learncurve.LearncurveConfig method) (vak.config.predict.PredictConfig method) (vak.config.prep.PrepConfig method) (vak.config.spect_params.SpectParamsConfig method) (vak.config.train.TrainConfig method) (vak.datasets.frame_classification.frames_dataset.FramesDataset method) (vak.datasets.frame_classification.metadata.Metadata method) (vak.datasets.frame_classification.window_dataset.WindowDataset method) (vak.datasets.parametric_umap.metadata.Metadata method) (vak.datasets.parametric_umap.parametric_umap.ParametricUMAPDataset method) (vak.datasets.parametric_umap.parametric_umap.ParametricUMAPInferenceDataset method) (vak.metrics.classification.classification.Accuracy method) (vak.metrics.distance.distance.CharacterErrorRate method) (vak.metrics.distance.distance.Levenshtein method) (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.definition.ModelDefinition method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAP method) (vak.models.parametric_umap_model.ParametricUMAPDatamodule method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method) (vak.prep.frame_classification.learncurve.Sample method) (vak.prep.frame_classification.make_splits.Sample method) (vak.prep.unit_dataset.unit_dataset.Segment method) (vak.prep.unit_dataset.unit_dataset.SpectToSave method) (vak.transforms.defaults.frame_classification.EvalItemTransform method) (vak.transforms.defaults.frame_classification.PredictItemTransform method) (vak.transforms.defaults.frame_classification.TrainItemTransform method) (vak.transforms.frame_labels.transforms.FromSegments method) (vak.transforms.frame_labels.transforms.PostProcess method) (vak.transforms.frame_labels.transforms.ToLabels method) (vak.transforms.frame_labels.transforms.ToSegments method) (vak.transforms.transforms.AddChannel method) (vak.transforms.transforms.PadToWindow method) (vak.transforms.transforms.StandardizeSpect method) (vak.transforms.transforms.ToFloatTensor method) (vak.transforms.transforms.ToLongTensor method) (vak.transforms.transforms.ViewAsWindowBatch method)

A

abspath() (in module vak.prep.unit_dataset.unit_dataset) Accuracy (class in vak.metrics.classification.classification) accuracy() (in module vak.metrics.classification.functional) add_channel() (in module vak.transforms.functional) add_module() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method) add_split_col() (in module vak.prep.dataset_df_helper) AddChannel (class in vak.transforms.transforms) all_gather() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) allow_zero_length_dataloader_with_multiple_devices (vak.models.parametric_umap_model.ParametricUMAPDatamodule attribute) annot_file (vak.config.prep.PrepConfig attribute), [1] annot_format (vak.config.prep.PrepConfig attribute), [1] annotation() (in module vak.plot.annot) apply() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method)

are_options_valid() (in module vak.config.validators) are_sections_valid() (in module vak.config.validators) are_valid_dask_bag_kwargs() (in module vak.config.prep) are_valid_post_tfm_kwargs() (in module vak.config.eval) argsort_by_label_freq() (in module vak.prep.frame_classification.make_splits) attributes_from_config() (vak.models.base.Model class method) (vak.models.convencoder_umap.ConvEncoderUMAP class method) (vak.models.ed_tcn.ED_TCN class method) (vak.models.frame_classification_model.FrameClassificationModel class method) (vak.models.parametric_umap_model.ParametricUMAPModel class method) (vak.models.tweetynet.TweetyNet class method) audio_dask_bag_kwargs (vak.config.prep.PrepConfig attribute), [1] audio_filename_from_path() (in module vak.common.annotation) audio_format (vak.config.prep.PrepConfig attribute), [1] (vak.datasets.parametric_umap.metadata.Metadata attribute) audio_path_key (vak.config.spect_params.SpectParamsConfig attribute), [1] AudioFilenameNotFoundError automatic_optimization (vak.models.base.Model property) (vak.models.convencoder_umap.ConvEncoderUMAP property) (vak.models.ed_tcn.ED_TCN property) (vak.models.frame_classification_model.FrameClassificationModel property) (vak.models.parametric_umap_model.ParametricUMAPModel property) (vak.models.tweetynet.TweetyNet property)

B

backward() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) batch_size (vak.config.eval.EvalConfig attribute), [1] (vak.config.train.TrainConfig attribute), [1] bfloat16() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method)

bool_from_str() (in module vak.common.converters) brute_force() (in module vak.prep.split.algorithms.bruteforce) buffers() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method) butter_bandpass() (in module vak.prep.spectrogram_dataset.spect) butter_bandpass_filter() (in module vak.prep.spectrogram_dataset.spect)

C

character_error_rate() (in module vak.metrics.distance.functional) CharacterErrorRate (class in vak.metrics.distance.distance) checkpoint_path (vak.config.eval.EvalConfig attribute), [1] (vak.config.train.TrainConfig attribute), [1] children() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method) ckpt_step (vak.config.learncurve.LearncurveConfig attribute), [1] (vak.config.train.TrainConfig attribute), [1] cli() (in module vak.cli.cli) clip_gradients() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) cnn (vak.nets.tweetynet.TweetyNet attribute) column_or_1d() (in module vak.common.validators) compile() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method) compute_cross_entropy() (in module vak.nn.loss.umap) Config (class in vak.config.config), [1] config_from_toml_dict() (in module vak.config.model) config_from_toml_path() (in module vak.config.model) config_logging_for_cli() (in module vak.common.logging) configure_callbacks() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) configure_gradient_clipping() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method)

configure_model() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) configure_optimizers() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) configure_sharded_model() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) ConvEncoder (class in vak.nets.conv_encoder) ConvEncoderUMAP (class in vak.models.convencoder_umap) convert_distance_to_probability() (in module vak.nn.loss.umap) convert_post_tfm_kwargs() (in module vak.config.eval) cpu() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method) cuda() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method) current_epoch (vak.models.base.Model property) (vak.models.convencoder_umap.ConvEncoderUMAP property) (vak.models.ed_tcn.ED_TCN property) (vak.models.frame_classification_model.FrameClassificationModel property) (vak.models.parametric_umap_model.ParametricUMAPModel property) (vak.models.tweetynet.TweetyNet property)

D

data_dir (vak.config.prep.PrepConfig attribute), [1] dataset_csv_filename (vak.datasets.frame_classification.metadata.Metadata attribute) (vak.datasets.parametric_umap.metadata.Metadata attribute) dataset_df (vak.datasets.frame_classification.frames_dataset.FramesDataset attribute) (vak.datasets.frame_classification.window_dataset.WindowDataset attribute) dataset_params (vak.config.eval.EvalConfig attribute), [1] dataset_path (vak.config.eval.EvalConfig attribute), [1] (vak.config.learncurve.LearncurveConfig attribute), [1] (vak.config.train.TrainConfig attribute), [1] (vak.datasets.frame_classification.frames_dataset.FramesDataset attribute) (vak.datasets.frame_classification.window_dataset.WindowDataset attribute) dataset_type (vak.config.prep.PrepConfig attribute), [1] definition (vak.models.convencoder_umap.ConvEncoderUMAP attribute) (vak.models.ed_tcn.ED_TCN attribute) (vak.models.tweetynet.TweetyNet attribute)

device (vak.config.eval.EvalConfig attribute), [1] (vak.config.train.TrainConfig attribute), [1] dice_loss() (in module vak.nn.loss.dice) DiceLoss (class in vak.nn.loss.dice) double() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method) duration_from_toml_value() (in module vak.config.prep)

E

ED_TCN (class in vak.models.ed_tcn) (class in vak.nets.ed_tcn) eval (vak.config.config.Config attribute), [1] eval() (in module vak.cli.cli) (in module vak.cli.eval) (in module vak.eval.eval_) (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method) eval_frame_classification_model() (in module vak.eval.frame_classification) eval_labelmap (vak.models.ed_tcn.ED_TCN attribute) (vak.models.frame_classification_model.FrameClassificationModel attribute) (vak.models.tweetynet.TweetyNet attribute)

eval_parametric_umap_model() (in module vak.eval.parametric_umap) EvalConfig (class in vak.config.eval), [1] EvalItemTransform (class in vak.transforms.defaults.frame_classification) events2df() (in module vak.common.tensorboard) example_input_array (vak.models.base.Model property) (vak.models.convencoder_umap.ConvEncoderUMAP property) (vak.models.ed_tcn.ED_TCN property) (vak.models.frame_classification_model.FrameClassificationModel property) (vak.models.parametric_umap_model.ParametricUMAPModel property) (vak.models.tweetynet.TweetyNet property) expanded_user_path() (in module vak.common.converters) extra_repr() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method)

F

fc (vak.nets.tweetynet.TweetyNet attribute) fft_size (vak.config.spect_params.SpectParamsConfig attribute), [1] files_from_dir() (in module vak.common.annotation) (in module vak.prep.spectrogram_dataset.audio_helper) find_audio_fname() (in module vak.common.files.spect) find_fname() (in module vak.common.files.files) fit() (vak.transforms.transforms.StandardizeSpect class method) fit_dataset_path() (vak.transforms.transforms.StandardizeSpect class method) fit_learning_curve() (in module vak.learncurve.curvefit) float() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method) format_from_df() (in module vak.common.annotation) forward() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method) frame_classification_dataframe() (in module vak.prep.split.split) frame_dur (vak.datasets.frame_classification.frames_dataset.FramesDataset attribute) (vak.datasets.frame_classification.metadata.Metadata attribute) (vak.datasets.frame_classification.window_dataset.WindowDataset attribute) frame_error_rate() (in module vak.plot.learncurve)

frame_labels_npy_path (vak.prep.frame_classification.make_splits.Sample attribute) frame_labels_paths (vak.datasets.frame_classification.frames_dataset.FramesDataset attribute) (vak.datasets.frame_classification.window_dataset.WindowDataset attribute) frame_paths (vak.datasets.frame_classification.window_dataset.WindowDataset attribute) FrameClassificationModel (class in vak.models.frame_classification_model) frames_path (vak.prep.frame_classification.make_splits.Sample attribute) frames_paths (vak.datasets.frame_classification.frames_dataset.FramesDataset attribute) FramesDataset (class in vak.datasets.frame_classification.frames_dataset) freeze() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) freq_cutoffs (vak.config.spect_params.SpectParamsConfig attribute), [1] freq_cutoffs_validator() (in module vak.config.spect_params) freqbins_key (vak.config.spect_params.SpectParamsConfig attribute), [1] from_config() (vak.models.base.Model class method) (vak.models.convencoder_umap.ConvEncoderUMAP class method) (vak.models.ed_tcn.ED_TCN class method) (vak.models.frame_classification_model.FrameClassificationModel class method) (vak.models.parametric_umap_model.ParametricUMAPModel class method) (vak.models.tweetynet.TweetyNet class method) from_dataset_path() (vak.datasets.frame_classification.frames_dataset.FramesDataset class method) (vak.datasets.frame_classification.window_dataset.WindowDataset class method) (vak.datasets.parametric_umap.parametric_umap.ParametricUMAPDataset class method) (vak.datasets.parametric_umap.parametric_umap.ParametricUMAPInferenceDataset class method) from_datasets() (vak.models.parametric_umap_model.ParametricUMAPDatamodule class method) from_df() (in module vak.common.annotation) (in module vak.common.labels) from_dir() (in module vak.common.files.files) from_path() (vak.datasets.frame_classification.metadata.Metadata class method) (vak.datasets.parametric_umap.metadata.Metadata class method) from_segments() (in module vak.transforms.frame_labels.functional) from_toml() (in module vak.config.parse) from_toml_path() (in module vak.config.parse) FromSegments (class in vak.transforms.frame_labels.transforms)

G

generate_results_dir_name_as_path() (in module vak.common.paths) get_all_results_list() (in module vak.plot.learncurve) get_buffer() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method) get_dataset_csv_filename() (in module vak.prep.dataset_df_helper) get_dataset_csv_path() (in module vak.prep.dataset_df_helper) get_default() (in module vak.common.device) get_default_frame_classification_transform() (in module vak.transforms.defaults.frame_classification) get_default_parametric_umap_transform() (in module vak.transforms.defaults.parametric_umap) get_default_train_callbacks() (in module vak.common.trainer) get_default_trainer() (in module vak.common.trainer) get_default_transform() (in module vak.transforms.defaults.get) get_extra_state() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method) get_graph_elements() (in module vak.datasets.parametric_umap.parametric_umap) get_or_make_source_files() (in module vak.prep.frame_classification.source_files) get_parameter() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method)

get_split_dur() (in module vak.train.frame_classification) (in module vak.train.parametric_umap) get_submodule() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method) get_summary_writer() (in module vak.common.tensorboard) get_timenow_as_str() (in module vak.common.timenow) get_train_dur_replicate_subset_name() (in module vak.common.learncurve) get_trainer() (in module vak.train.parametric_umap) get_umap_graph() (in module vak.datasets.parametric_umap.parametric_umap) get_window_inds() (in module vak.datasets.frame_classification.window_dataset) global_rank (vak.models.base.Model property) (vak.models.convencoder_umap.ConvEncoderUMAP property) (vak.models.ed_tcn.ED_TCN property) (vak.models.frame_classification_model.FrameClassificationModel property) (vak.models.parametric_umap_model.ParametricUMAPModel property) (vak.models.tweetynet.TweetyNet property) global_step (vak.models.base.Model property) (vak.models.convencoder_umap.ConvEncoderUMAP property) (vak.models.ed_tcn.ED_TCN property) (vak.models.frame_classification_model.FrameClassificationModel property) (vak.models.parametric_umap_model.ParametricUMAPModel property) (vak.models.tweetynet.TweetyNet property)

H

half() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method) has_unlabeled() (in module vak.common.annotation) has_unlabeled_segments() (in module vak.prep.sequence_dataset)

hparams (vak.models.base.Model property) (vak.models.convencoder_umap.ConvEncoderUMAP property) (vak.models.ed_tcn.ED_TCN property) (vak.models.frame_classification_model.FrameClassificationModel property) (vak.models.parametric_umap_model.ParametricUMAPDatamodule property) (vak.models.parametric_umap_model.ParametricUMAPModel property) (vak.models.tweetynet.TweetyNet property) hparams_initial (vak.models.base.Model property) (vak.models.convencoder_umap.ConvEncoderUMAP property) (vak.models.ed_tcn.ED_TCN property) (vak.models.frame_classification_model.FrameClassificationModel property) (vak.models.parametric_umap_model.ParametricUMAPDatamodule property) (vak.models.parametric_umap_model.ParametricUMAPModel property) (vak.models.tweetynet.TweetyNet property)

I

inds_in_sample (vak.datasets.frame_classification.frames_dataset.FramesDataset attribute) (vak.datasets.frame_classification.window_dataset.WindowDataset attribute) inds_in_sample_array_filename_for_subset() (in module vak.datasets.frame_classification.helper) inds_in_sample_vec (vak.prep.frame_classification.make_splits.Sample attribute) input_shape (vak.nets.tweetynet.TweetyNet attribute) input_type (vak.datasets.frame_classification.frames_dataset.FramesDataset attribute) (vak.datasets.frame_classification.metadata.Metadata attribute) (vak.datasets.frame_classification.window_dataset.WindowDataset attribute) ipu() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method)

is_a_directory() (in module vak.common.validators) (in module vak.config.validators) is_a_file() (in module vak.common.validators) (in module vak.config.validators) is_annot_format() (in module vak.config.validators) is_audio_format() (in module vak.config.validators) is_spect_format() (in module vak.config.validators) is_valid_audio_format() (in module vak.datasets.frame_classification.metadata) (in module vak.datasets.parametric_umap.metadata) is_valid_dataset_csv_filename() (in module vak.datasets.frame_classification.metadata) (in module vak.datasets.parametric_umap.metadata) is_valid_duration() (in module vak.config.prep) is_valid_model_name() (in module vak.config.validators) is_valid_set_of_spect_files() (in module vak.common.files.spect) is_valid_spect_format() (in module vak.datasets.frame_classification.metadata) (in module vak.datasets.parametric_umap.metadata) is_valid_transform_type() (in module vak.config.spect_params) item_transform (vak.datasets.frame_classification.frames_dataset.FramesDataset attribute)

L

labelmap (vak.models.ed_tcn.ED_TCN attribute) (vak.models.frame_classification_model.FrameClassificationModel attribute) (vak.models.tweetynet.TweetyNet attribute) (vak.transforms.frame_labels.transforms.ToLabels attribute) (vak.transforms.frame_labels.transforms.ToSegments attribute) labelmap_path (vak.config.eval.EvalConfig attribute), [1] labelset (vak.config.prep.PrepConfig attribute), [1] labelset_to_set() (in module vak.common.converters) learncurve (vak.config.config.Config attribute), [1] learncurve() (in module vak.cli.cli) LearncurveConfig (class in vak.config.learncurve), [1] learning_curve() (in module vak.cli.learncurve) (in module vak.learncurve.learncurve) learning_curve_for_frame_classification_model() (in module vak.learncurve.frame_classification) Levenshtein (class in vak.metrics.distance.distance) levenshtein() (in module vak.metrics.distance.functional) load() (in module vak.common.files.spect) load_frames() (in module vak.datasets.frame_classification.helper) load_from_checkpoint() (vak.models.base.Model class method) (vak.models.convencoder_umap.ConvEncoderUMAP class method) (vak.models.ed_tcn.ED_TCN class method) (vak.models.frame_classification_model.FrameClassificationModel class method) (vak.models.parametric_umap_model.ParametricUMAPDatamodule class method) (vak.models.parametric_umap_model.ParametricUMAPModel class method) (vak.models.tweetynet.TweetyNet class method) load_state_dict() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPDatamodule method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method) load_state_dict_from_path() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) local_rank (vak.models.base.Model property) (vak.models.convencoder_umap.ConvEncoderUMAP property) (vak.models.ed_tcn.ED_TCN property) (vak.models.frame_classification_model.FrameClassificationModel property) (vak.models.parametric_umap_model.ParametricUMAPModel property) (vak.models.tweetynet.TweetyNet property)

log() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) log_dict() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) log_version() (in module vak.common.logging) logger (vak.models.base.Model property) (vak.models.convencoder_umap.ConvEncoderUMAP property) (vak.models.ed_tcn.ED_TCN property) (vak.models.frame_classification_model.FrameClassificationModel property) (vak.models.parametric_umap_model.ParametricUMAPModel property) (vak.models.tweetynet.TweetyNet property) loggers (vak.models.base.Model property) (vak.models.convencoder_umap.ConvEncoderUMAP property) (vak.models.ed_tcn.ED_TCN property) (vak.models.frame_classification_model.FrameClassificationModel property) (vak.models.parametric_umap_model.ParametricUMAPModel property) (vak.models.tweetynet.TweetyNet property) loss (vak.models.ed_tcn.ED_TCN attribute) (vak.models.frame_classification_model.FrameClassificationModel attribute) (vak.models.tweetynet.TweetyNet attribute) lr_scheduler_step() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) lr_schedulers() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method)

M

majority_vote (vak.transforms.frame_labels.transforms.PostProcess attribute) make_dataframe_of_spect_files() (in module vak.prep.spectrogram_dataset.spect_helper) make_index_vectors_for_each_subset() (in module vak.prep.frame_classification.learncurve) make_spectrogram_files_from_audio_files() (in module vak.prep.spectrogram_dataset.audio_helper) make_splits() (in module vak.prep.frame_classification.make_splits) make_subsets_from_dataset_df() (in module vak.prep.frame_classification.learncurve) manual_backward() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) map_annotated_to_annot() (in module vak.common.annotation) MapUsingExtensionError MapUsingNotatedPathError mean_freqs (vak.transforms.transforms.StandardizeSpect attribute) Metadata (class in vak.datasets.frame_classification.metadata) (class in vak.datasets.parametric_umap.metadata) metrics (vak.models.ed_tcn.ED_TCN attribute) (vak.models.frame_classification_model.FrameClassificationModel attribute) (vak.models.tweetynet.TweetyNet attribute) min_segment_dur (vak.transforms.frame_labels.transforms.PostProcess attribute) Model (class in vak.models.base) model (vak.config.eval.EvalConfig attribute), [1] (vak.config.learncurve.LearncurveConfig attribute), [1] (vak.config.train.TrainConfig attribute), [1] model() (in module vak.models.decorator) model_family() (in module vak.models.registry) ModelDefinition (class in vak.models.definition) ModelDefinitionValidationError module vak vak.cli.cli vak.cli.eval vak.cli.learncurve vak.cli.predict vak.cli.prep vak.cli.train vak.common.annotation vak.common.constants vak.common.converters vak.common.device vak.common.files vak.common.files.files vak.common.files.spect vak.common.labels vak.common.learncurve vak.common.logging vak.common.paths vak.common.tensorboard vak.common.timebins vak.common.timenow vak.common.trainer vak.common.typing vak.common.validators vak.config.config vak.config.eval vak.config.learncurve vak.config.model vak.config.parse vak.config.predict vak.config.prep vak.config.spect_params vak.config.train vak.config.validators vak.datasets.frame_classification vak.datasets.frame_classification.constants vak.datasets.frame_classification.frames_dataset vak.datasets.frame_classification.helper vak.datasets.frame_classification.metadata vak.datasets.frame_classification.window_dataset vak.datasets.parametric_umap vak.datasets.parametric_umap.metadata vak.datasets.parametric_umap.parametric_umap vak.eval.eval_ vak.eval.frame_classification vak.eval.parametric_umap vak.learncurve.curvefit vak.learncurve.dirname vak.learncurve.frame_classification vak.learncurve.learncurve vak.metrics.classification.classification vak.metrics.classification.functional vak.metrics.distance.distance vak.metrics.distance.functional vak.models.base vak.models.convencoder_umap vak.models.decorator vak.models.definition vak.models.ed_tcn vak.models.frame_classification_model vak.models.get vak.models.parametric_umap_model vak.models.registry vak.models.tweetynet vak.nets.conv_encoder vak.nets.ed_tcn vak.nets.tweetynet vak.nn.functional vak.nn.loss vak.nn.loss.dice vak.nn.loss.umap vak.plot.annot vak.plot.learncurve vak.plot.spect vak.predict.frame_classification vak.predict.parametric_umap vak.predict.predict_ vak.prep vak.prep.audio_dataset vak.prep.constants vak.prep.dataset_df_helper vak.prep.frame_classification vak.prep.frame_classification.assign_samples_to_splits vak.prep.frame_classification.frame_classification vak.prep.frame_classification.learncurve vak.prep.frame_classification.make_splits vak.prep.frame_classification.source_files vak.prep.frame_classification.validators vak.prep.parametric_umap vak.prep.parametric_umap.dataset_arrays vak.prep.parametric_umap.parametric_umap vak.prep.prep_ vak.prep.sequence_dataset vak.prep.spectrogram_dataset vak.prep.spectrogram_dataset.audio_helper vak.prep.spectrogram_dataset.prep vak.prep.spectrogram_dataset.spect vak.prep.spectrogram_dataset.spect_helper vak.prep.split vak.prep.split.algorithms vak.prep.split.algorithms.bruteforce vak.prep.split.algorithms.validate vak.prep.split.split vak.prep.unit_dataset vak.prep.unit_dataset.unit_dataset vak.train.frame_classification vak.train.parametric_umap vak.train.train_ vak.transforms.defaults vak.transforms.defaults.frame_classification vak.transforms.defaults.get vak.transforms.defaults.parametric_umap vak.transforms.frame_labels.functional vak.transforms.frame_labels.transforms vak.transforms.functional vak.transforms.transforms

modules() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method) move_files_into_split_subdirs() (in module vak.prep.parametric_umap.dataset_arrays) multi_char_labels_to_single_char() (in module vak.common.labels)

N

n_decimals_trunc (vak.transforms.frame_labels.transforms.ToSegments attribute) named_buffers() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method) named_children() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method) named_modules() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method)

named_parameters() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method) network (vak.models.ed_tcn.ED_TCN attribute) (vak.models.frame_classification_model.FrameClassificationModel attribute) (vak.models.tweetynet.TweetyNet attribute) non_zero_std (vak.transforms.transforms.StandardizeSpect attribute) normalize_spectrograms (vak.config.learncurve.LearncurveConfig attribute), [1] (vak.config.train.TrainConfig attribute), [1] num_classes (vak.nets.tweetynet.TweetyNet attribute) num_epochs (vak.config.learncurve.LearncurveConfig attribute), [1] (vak.config.train.TrainConfig attribute), [1] num_replicates (vak.config.prep.PrepConfig attribute), [1] num_workers (vak.config.eval.EvalConfig attribute), [1] (vak.config.train.TrainConfig attribute), [1]

O

on_after_backward() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) on_after_batch_transfer() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPDatamodule method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) on_before_backward() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) on_before_batch_transfer() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPDatamodule method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) on_before_optimizer_step() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) on_before_zero_grad() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) on_fit_end() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) on_fit_start() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) on_gpu (vak.models.base.Model property) (vak.models.convencoder_umap.ConvEncoderUMAP property) (vak.models.ed_tcn.ED_TCN property) (vak.models.frame_classification_model.FrameClassificationModel property) (vak.models.parametric_umap_model.ParametricUMAPModel property) (vak.models.tweetynet.TweetyNet property) on_load_checkpoint() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) on_predict_batch_end() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) on_predict_batch_start() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) on_predict_end() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) on_predict_epoch_end() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) on_predict_epoch_start() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) on_predict_model_eval() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) on_predict_start() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) on_save_checkpoint() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) on_test_batch_end() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) on_test_batch_start() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) on_test_end() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) on_test_epoch_end() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) on_test_epoch_start() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method)

on_test_model_eval() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) on_test_model_train() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) on_test_start() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) on_train_batch_end() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) on_train_batch_start() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) on_train_end() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) on_train_epoch_end() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) on_train_epoch_start() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) on_train_start() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) on_validation_batch_end() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) on_validation_batch_start() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) on_validation_end() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) on_validation_epoch_end() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) on_validation_epoch_start() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) on_validation_model_eval() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) on_validation_model_train() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) on_validation_model_zero_grad() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) on_validation_start() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) one_hot() (in module vak.nn.functional) optimizer (vak.models.ed_tcn.ED_TCN attribute) (vak.models.frame_classification_model.FrameClassificationModel attribute) (vak.models.tweetynet.TweetyNet attribute) optimizer_step() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) optimizer_zero_grad() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) optimizers() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) output_dir (vak.config.eval.EvalConfig attribute), [1] (vak.config.prep.PrepConfig attribute), [1]

P

pad_to_window() (in module vak.transforms.functional) PadToWindow (class in vak.transforms.transforms) parameters() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method) ParametricUMAP (class in vak.models.parametric_umap_model) ParametricUMAPDatamodule (class in vak.models.parametric_umap_model) ParametricUMAPDataset (class in vak.datasets.parametric_umap.parametric_umap) ParametricUMAPInferenceDataset (class in vak.datasets.parametric_umap.parametric_umap) ParametricUMAPModel (class in vak.models.parametric_umap_model) parse_config_section() (in module vak.config.parse) patience (vak.config.learncurve.LearncurveConfig attribute), [1] (vak.config.train.TrainConfig attribute), [1] plot_labels() (in module vak.plot.annot) plot_segments() (in module vak.plot.annot) post_tfm (vak.models.ed_tcn.ED_TCN attribute) (vak.models.frame_classification_model.FrameClassificationModel attribute) (vak.models.tweetynet.TweetyNet attribute) post_tfm_kwargs (vak.config.eval.EvalConfig attribute), [1] (vak.config.learncurve.LearncurveConfig attribute), [1] PostProcess (class in vak.transforms.frame_labels.transforms) postprocess() (in module vak.transforms.frame_labels.functional) predict (vak.config.config.Config attribute), [1] predict() (in module vak.cli.cli) (in module vak.cli.predict) (in module vak.predict.predict_) predict_dataloader() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPDatamodule method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method)

predict_step() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) predict_with_frame_classification_model() (in module vak.predict.frame_classification) predict_with_parametric_umap_model() (in module vak.predict.parametric_umap) PredictConfig (class in vak.config.predict), [1] PredictItemTransform (class in vak.transforms.defaults.frame_classification) prep (vak.config.config.Config attribute), [1] prep() (in module vak.cli.cli) (in module vak.cli.prep) (in module vak.prep.prep_) prep_audio_dataset() (in module vak.prep.audio_dataset) prep_frame_classification_dataset() (in module vak.prep.frame_classification.frame_classification) prep_parametric_umap_dataset() (in module vak.prep.parametric_umap.parametric_umap) prep_spectrogram_dataset() (in module vak.prep.spectrogram_dataset.prep) prep_unit_dataset() (in module vak.prep.unit_dataset.unit_dataset) prepare_data() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPDatamodule method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) prepare_data_per_node (vak.models.parametric_umap_model.ParametricUMAPDatamodule attribute), [1] PrepConfig (class in vak.config.prep), [1] print() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) purpose_from_toml() (in module vak.cli.prep)

R

range_str() (in module vak.common.converters) register_backward_hook() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method) register_buffer() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method) register_forward_hook() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method) register_forward_pre_hook() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method) register_full_backward_hook() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method) register_full_backward_pre_hook() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method)

register_load_state_dict_post_hook() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method) register_model() (in module vak.models.registry) register_module() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method) register_parameter() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method) register_state_dict_pre_hook() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method) remove_short_segments() (in module vak.transforms.frame_labels.functional) replicate_dirname() (in module vak.learncurve.dirname) requires_grad_() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method) residual_two_functions() (in module vak.learncurve.curvefit) rnn (vak.nets.tweetynet.TweetyNet attribute) rnn_input_size (vak.nets.tweetynet.TweetyNet attribute) root_results_dir (vak.config.train.TrainConfig attribute), [1] row_or_1d() (in module vak.common.validators)

S

Sample (class in vak.prep.frame_classification.learncurve) (class in vak.prep.frame_classification.make_splits) sample_id_vec (vak.prep.frame_classification.make_splits.Sample attribute) sample_ids (vak.datasets.frame_classification.frames_dataset.FramesDataset attribute) (vak.datasets.frame_classification.window_dataset.WindowDataset attribute) sample_ids_array_filename_for_subset() (in module vak.datasets.frame_classification.helper) save_hyperparameters() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPDatamodule method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) save_only_single_checkpoint_file (vak.config.learncurve.LearncurveConfig attribute), [1] save_spect() (in module vak.prep.unit_dataset.unit_dataset) Segment (class in vak.prep.unit_dataset.unit_dataset) set_extra_state() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method) setup() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPDatamodule method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) share_memory() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method)

shuffle (vak.config.train.TrainConfig attribute), [1] source_id (vak.prep.frame_classification.make_splits.Sample attribute) spect_format (vak.config.prep.PrepConfig attribute), [1] spect_key (vak.config.spect_params.SpectParamsConfig attribute), [1] spect_params (vak.config.config.Config attribute), [1] spect_scaler_path (vak.config.eval.EvalConfig attribute), [1] (vak.config.train.TrainConfig attribute), [1] SpectParamsConfig (class in vak.config.spect_params), [1] spectrogram() (in module vak.prep.spectrogram_dataset.spect) spectrogram_from_segment() (in module vak.prep.unit_dataset.unit_dataset) SpectToSave (class in vak.prep.unit_dataset.unit_dataset) split (vak.datasets.frame_classification.frames_dataset.FramesDataset attribute) (vak.datasets.frame_classification.window_dataset.WindowDataset attribute) standardize_spect() (in module vak.transforms.functional) StandardizeSpect (class in vak.transforms.transforms) state_dict() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPDatamodule method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method) std_freqs (vak.transforms.transforms.StandardizeSpect attribute) step_size (vak.config.spect_params.SpectParamsConfig attribute), [1] stride (vak.datasets.frame_classification.window_dataset.WindowDataset attribute) subset (vak.datasets.frame_classification.frames_dataset.FramesDataset attribute) (vak.datasets.frame_classification.window_dataset.WindowDataset attribute) syllable_error_rate() (in module vak.plot.learncurve)

T

take_majority_vote() (in module vak.transforms.frame_labels.functional) target_transform (vak.datasets.frame_classification.window_dataset.WindowDataset attribute) teardown() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPDatamodule method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) test_dataloader() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPDatamodule method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) test_dur (vak.config.prep.PrepConfig attribute), [1] test_step() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) thresh (vak.config.spect_params.SpectParamsConfig attribute), [1] timebin_dur (vak.transforms.frame_labels.transforms.PostProcess attribute) timebin_dur() (in module vak.common.files.spect) timebin_dur_from_vec() (in module vak.common.timebins) timebins_key (vak.config.spect_params.SpectParamsConfig attribute), [1] to() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method) to_empty() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method) to_floattensor() (in module vak.transforms.functional) to_inds_list() (in module vak.transforms.frame_labels.functional) to_json() (vak.datasets.frame_classification.metadata.Metadata method) (vak.datasets.parametric_umap.metadata.Metadata method) to_labels() (in module vak.transforms.frame_labels.functional) to_labels_eval (vak.models.ed_tcn.ED_TCN attribute) (vak.models.frame_classification_model.FrameClassificationModel attribute) (vak.models.tweetynet.TweetyNet attribute) to_longtensor() (in module vak.transforms.functional) to_map() (in module vak.common.labels) to_onnx() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) to_segments() (in module vak.transforms.frame_labels.functional) to_set() (in module vak.common.labels) to_torchscript() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method)

ToFloatTensor (class in vak.transforms.transforms) toggle_optimizer() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) ToLabels (class in vak.transforms.frame_labels.transforms) ToLongTensor (class in vak.transforms.transforms) ToSegments (class in vak.transforms.frame_labels.transforms) train (vak.config.config.Config attribute), [1] train() (in module vak.cli.cli) (in module vak.cli.train) (in module vak.train.train_) (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method) train_dataloader() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPDatamodule method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) train_dur (vak.config.prep.PrepConfig attribute), [1] train_dur_dirname() (in module vak.learncurve.dirname) train_frame_classification_model() (in module vak.train.frame_classification) train_parametric_umap_model() (in module vak.train.parametric_umap) train_set_durs (vak.config.prep.PrepConfig attribute), [1] train_test_dur_split_inds() (in module vak.prep.split.split) TrainConfig (class in vak.config.train), [1] training_step() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) TrainItemTransform (class in vak.transforms.defaults.frame_classification) transfer_batch_to_device() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPDatamodule method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) transform (vak.datasets.frame_classification.window_dataset.WindowDataset attribute) transform_params (vak.config.eval.EvalConfig attribute), [1] transform_type (vak.config.spect_params.SpectParamsConfig attribute), [1] TweetyNet (class in vak.models.tweetynet) (class in vak.nets.tweetynet) type() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method)

U

umap_loss() (in module vak.nn.loss.umap) UmapLoss (class in vak.nn.loss.umap) unfreeze() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) unique_set_from_labels() (in module vak.prep.split.algorithms.bruteforce)

unit_dataframe() (in module vak.prep.split.split) unlabeled_label (vak.transforms.frame_labels.transforms.FromSegments attribute) (vak.transforms.frame_labels.transforms.PostProcess attribute) untoggle_optimizer() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) use_train_subsets_from_previous_run (vak.config.learncurve.LearncurveConfig attribute), [1]

V

vak module vak.cli.cli module vak.cli.eval module vak.cli.learncurve module vak.cli.predict module vak.cli.prep module vak.cli.train module vak.common.annotation module vak.common.constants module vak.common.converters module vak.common.device module vak.common.files module vak.common.files.files module vak.common.files.spect module vak.common.labels module vak.common.learncurve module vak.common.logging module vak.common.paths module vak.common.tensorboard module vak.common.timebins module vak.common.timenow module vak.common.trainer module vak.common.typing module vak.common.validators module vak.config.config module vak.config.eval module vak.config.learncurve module vak.config.model module vak.config.parse module vak.config.predict module vak.config.prep module vak.config.spect_params module vak.config.train module vak.config.validators module vak.datasets.frame_classification module vak.datasets.frame_classification.constants module vak.datasets.frame_classification.frames_dataset module vak.datasets.frame_classification.helper module vak.datasets.frame_classification.metadata module vak.datasets.frame_classification.window_dataset module vak.datasets.parametric_umap module vak.datasets.parametric_umap.metadata module vak.datasets.parametric_umap.parametric_umap module vak.eval.eval_ module vak.eval.frame_classification module vak.eval.parametric_umap module vak.learncurve.curvefit module vak.learncurve.dirname module vak.learncurve.frame_classification module vak.learncurve.learncurve module vak.metrics.classification.classification module vak.metrics.classification.functional module vak.metrics.distance.distance module vak.metrics.distance.functional module vak.models.base module vak.models.convencoder_umap module vak.models.decorator module vak.models.definition module vak.models.ed_tcn module vak.models.frame_classification_model module vak.models.get module vak.models.parametric_umap_model module vak.models.registry module vak.models.tweetynet module vak.nets.conv_encoder module

vak.nets.ed_tcn module vak.nets.tweetynet module vak.nn.functional module vak.nn.loss module vak.nn.loss.dice module vak.nn.loss.umap module vak.plot.annot module vak.plot.learncurve module vak.plot.spect module vak.predict.frame_classification module vak.predict.parametric_umap module vak.predict.predict_ module vak.prep module vak.prep.audio_dataset module vak.prep.constants module vak.prep.dataset_df_helper module vak.prep.frame_classification module vak.prep.frame_classification.assign_samples_to_splits module vak.prep.frame_classification.frame_classification module vak.prep.frame_classification.learncurve module vak.prep.frame_classification.make_splits module vak.prep.frame_classification.source_files module vak.prep.frame_classification.validators module vak.prep.parametric_umap module vak.prep.parametric_umap.dataset_arrays module vak.prep.parametric_umap.parametric_umap module vak.prep.prep_ module vak.prep.sequence_dataset module vak.prep.spectrogram_dataset module vak.prep.spectrogram_dataset.audio_helper module vak.prep.spectrogram_dataset.prep module vak.prep.spectrogram_dataset.spect module vak.prep.spectrogram_dataset.spect_helper module vak.prep.split module vak.prep.split.algorithms module vak.prep.split.algorithms.bruteforce module vak.prep.split.algorithms.validate module vak.prep.split.split module vak.prep.unit_dataset module vak.prep.unit_dataset.unit_dataset module vak.train.frame_classification module vak.train.parametric_umap module vak.train.train_ module vak.transforms.defaults module vak.transforms.defaults.frame_classification module vak.transforms.defaults.get module vak.transforms.defaults.parametric_umap module vak.transforms.frame_labels.functional module vak.transforms.frame_labels.transforms module vak.transforms.functional module vak.transforms.transforms module val_dataloader() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPDatamodule method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) val_dur (vak.config.prep.PrepConfig attribute), [1] val_step (vak.config.train.TrainConfig attribute), [1] validate() (in module vak.models.definition) validate_and_get_frame_dur() (in module vak.prep.frame_classification.validators) validate_init() (vak.models.base.Model class method) (vak.models.convencoder_umap.ConvEncoderUMAP class method) (vak.models.ed_tcn.ED_TCN class method) (vak.models.frame_classification_model.FrameClassificationModel class method) (vak.models.parametric_umap_model.ParametricUMAPModel class method) (vak.models.tweetynet.TweetyNet class method) validate_labels() (in module vak.prep.split.algorithms.bruteforce) validate_split_durations() (in module vak.prep.split.algorithms.validate) validation_step() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) view_as_window_batch() (in module vak.transforms.functional) ViewAsWindowBatch (class in vak.transforms.transforms)

W

where_unlabeled_segments() (in module vak.prep.sequence_dataset) window_inds (vak.datasets.frame_classification.window_dataset.WindowDataset attribute)

window_size (vak.datasets.frame_classification.window_dataset.WindowDataset attribute) WindowDataset (class in vak.datasets.frame_classification.window_dataset)

X

xpu() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method)

Z

zero_grad() (vak.models.base.Model method) (vak.models.convencoder_umap.ConvEncoderUMAP method) (vak.models.ed_tcn.ED_TCN method) (vak.models.frame_classification_model.FrameClassificationModel method) (vak.models.parametric_umap_model.ParametricUMAPModel method) (vak.models.tweetynet.TweetyNet method) (vak.nets.conv_encoder.ConvEncoder method) (vak.nets.ed_tcn.ED_TCN method) (vak.nets.tweetynet.TweetyNet method) (vak.nn.loss.dice.DiceLoss method) (vak.nn.loss.umap.UmapLoss method)