timesead.plots.dataset_plots

Functions

plot_features_against_anomaly(dataset, path[, xticks, ...])
plot_anomaly_distribution(dataset, path[, resolution, ...])
plot_anomaly_length_distribution(dataset, path[, ...])
plot_anomaly_position_distribution(dataset, path[, ...])
plot_mean_distribution(dataset, path[, interval_size, ...])

Module Contents

timesead.plots.dataset_plots.plot_features_against_anomaly(dataset: torch.utils.data.Dataset, path: str, xticks: int | None = None, shape: str = 'tf', interval_size: int | None = None, scatter: bool = True)

Parameters:

• dataset (torch.utils.data.Dataset)

• path (str)

• xticks (Optional[int])

• shape (str)

• interval_size (Optional[int])

• scatter (bool)

timesead.plots.dataset_plots.plot_anomaly_distribution(dataset: torch.utils.data.Dataset, path: str, resolution: int = 100, yticks: int | List | None = None, **kwargs)

Parameters:

• dataset (torch.utils.data.Dataset)

• path (str)

• resolution (int)

• yticks (Optional[Union[int, List]])

timesead.plots.dataset_plots.plot_anomaly_length_distribution(dataset: torch.utils.data.Dataset, path: str, resolution: int = 100, yticks: int | List | None = None, **kwargs)

Parameters:

• dataset (torch.utils.data.Dataset)

• path (str)

• resolution (int)

• yticks (Optional[Union[int, List]])

timesead.plots.dataset_plots.plot_anomaly_position_distribution(dataset: torch.utils.data.Dataset, path: str, resolution: int = 100, yticks: int | List | None = None, **kwargs)

Parameters:

• dataset (torch.utils.data.Dataset)

• path (str)

• resolution (int)

• yticks (Optional[Union[int, List]])

timesead.plots.dataset_plots.plot_mean_distribution(dataset: torch.utils.data.Dataset, path: str, interval_size: int | None = None, shape: str = 'tf', yticks: List[int] | List[float] | None = None, global_only: bool = False)

Parameters:

• dataset (torch.utils.data.Dataset)

• path (str)

• interval_size (Optional[int])

• shape (str)

• yticks (Optional[Union[List[int], List[float]]])

• global_only (bool)