v0.4.0

v0.4.0 (2020-04-02)

Full Changelog

Added

• Kolmogorov-Smirnov drift detector (alibi_detect.cd.ks.KSDrift)
• Maximum Mean Discrepancy drift detector (alibi_detect.cd.mmd.MMDDrift)

v0.3.1

v0.3.1 (2020-02-26)

Full Changelog

Added

• Adversarial autoencoder detection method (offline method, alibi_detect.ad.adversarialae.AdversarialAE)
• Add pretrained adversarial and outlier detectors to Google Cloud Bucket and include fetch functionality
• Add data/concept drift dataset (CIFAR-10-C) to Google Cloud Bucket and include fetch functionality
• Update VAE loss function and log var layer
• Fix tests for Prophet outlier detector on Python 3.6
• Add batch sizes for all detectors

v0.3.0

v0.3.0 (2020-01-17)

Full Changelog

Added

• Multivariate time series outlier detection method OutlierSeq2Seq (offline method, alibi_detect.od.seq2seq.OutlierSeq2Seq)
• ECG and synthetic data examples for OutlierSeq2Seq detector
• Auto-Encoder outlier detector (offline method, alibi_detect.od.ae.OutlierAE)
• Including tabular and categorical perturbation functions (alibi_detect.utils.perturbation)

v0.2.0

v0.2.0 (2019-12-06)

Full Changelog

Added

• Univariate time series outlier detection methods: Prophet (offline method, alibi_detect.od.prophet.OutlierProphet)
  and Spectral Residual (online method, alibi_detect.od.sr.SpectralResidual)
• Function for fetching Numenta Anomaly Benchmark time series data (alibi_detect.datasets.fetch_nab)
• Perturbation function for time series data (alibi_detect.utils.perturbation.inject_outlier_ts)
• Roadmap

v0.1.0

Change Log

v0.1.0 (2019-11-19)

Added

• Isolation Forest (Outlier Detection)
• Mahalanobis Distance (Outlier Detection)
• Variational Auto-Encoder (VAE, Outlier Detection)
• Auto-Encoding Gaussian Mixture Model (AEGMM, Outlier Detection)
• Variational Auto-Encoding Gaussian Mixture Model (VAEGMM, Outlier Detection)
• Adversarial Variational Auto-Encoder (Adversarial Detection)