Modules

• artificial_dataset package
  • Submodules
  • artificial_dataset.anomaly module
  • artificial_dataset.classification module
  • artificial_dataset.metrics module
  • Module contents
    • AnomalyDataset
      • AnomalyDataset.y
      • AnomalyDataset.labels
      • AnomalyDataset.t
      • AnomalyDataset.peak_indices
      • AnomalyDataset.split()
    • AnomalySplits
    • ClassifierMetrics
      • ClassifierMetrics.accuracy
      • ClassifierMetrics.confusion_matrix
      • ClassifierMetrics.f1_score
      • ClassifierMetrics.from_anomaly_indices()
      • ClassifierMetrics.precision
      • ClassifierMetrics.recall
    • SpikeParams
      • SpikeParams.amplitude_range
      • SpikeParams.width_range
      • SpikeParams.count_range
      • SpikeParams.margin
    • SyntheticSeries
      • SyntheticSeries.x
      • SyntheticSeries.y
      • SyntheticSeries.is_anomaly
      • SyntheticSeries.anomaly_type
      • SyntheticSeries.anomalies
      • SyntheticSeries.meta
      • SyntheticSeries.label
      • SyntheticSeries.pipe()
      • SyntheticSeries.split()
    • SyntheticSeriesSplits
    • add_collective_anomaly()
    • add_dropout()
    • add_level_shift()
    • add_point_anomalies()
    • add_seasonal_distortion()
    • add_spike_anomalies()
    • add_trend_change()
    • add_variance_change()
    • anomaly_summary()
    • compose()
    • compose_weighted()
    • constant()
    • exponential()
    • gaussian_noise()
    • linear()
    • logarithmic()
    • make_anomaly_dataset()
    • make_classification()
    • make_series()
    • periodic_seasonal()
    • plot_series()
    • polynomial()
    • save_series()
    • sinusoidal()