0.6.7

0.6.7 🇺🇦 🇺🇦 🇺🇦

• Cassandra bug fix
• isolated_only to anomaly methods
• matse metric is possibly temporary and not added to per series weighting options
• added HistoricValues transformer

0.6.6

0.6.6 🐌🐌🐌

• bug fixes, particularly compatibility for the archaic pandas 1.0.3 still used at a certain big tech company

0.6.5

0.6.5 🏮🏮🏮

• horizontal and mosaic upgrades
• bug fixes and template updates

0.6.4

0.6.4 🔜🔜🔜

• adjusted n_jobs back to minus 1 for multivariatemotif
• fixed bug with plot_validations not working with some frequencies
• force_validation added to import_template
• model_list now enforced in new generations
• added NeuralForecast

0.6.3

0.6.3 🎐🎐🎐

• energy datasets to load_live_daily
• improved the 'Scalable' transformer_list to reduce memory issues on larger datasets
• memory improvements to KalmanSmoother, HolidayTransformer, LocalLinearTrend
• added DiffSmoother
• added force_gc arg which can be tried if memory is in short supply relative to data (probably won't help much)

0.6.2

0.6.2 🏡🏡🏡

• FFTFilter added
• FFT model added
• kdtree to Univariate/Multivariate Motif
• additional metrics to MetricMotif
• added BallTreeMultivariateMotif model
• added FFTDecomposition
• added ReplaceConstant
• added TiDE model
• logging improvements for pytorch and some pytorch backend for gluonts support
• added AlignLastDiff
• added plot_metric_corr
• added mate, wasserstein, dwd metrics

0.6.1

0.6.1 ✨✨✨

• CenterSplit transformer added
• separated function for best model selection
• improved graphing when forecast_length == 1
• quieter Prophet
• added PreprocessingRegression model
• more KalmanStateSpace models
• assorted bug fixes
• added AutoTS diagnose_params

0.6.0

0.6.0 ♨️♨️♨️

• import_best_model and fit_data
• added canberra distance to SeasonalityMotif and MetricMotif
• DatepartRegressionTransformer now handles NaN in input data
• new DatepartRegression and SeasonalityMotif based imputers
• LevelShiftMagic transformer added
• adjusted automatic resampling to be performed only when necessary (to avoid filling NA with 0 bug and aggfunc='sum')
• fixed a bug where if a full validation round fails, best model selection fails
• macro_micro to LocalLinearTrend

0.5.8

0.5.8 🌷🌷🌷

• added plot_validations
• updated pytorch forecasting for 1.0.0 version
• plot_grid to prediction object
• breaking change: plot_per_series_smape switched to the more accurately described plot_per_series_mape
• various bug fixes such as 'TotalRuntime' missing

0.5.7

0.5.7 🛂🛂🛂

• slight changes to holiday_flag to allow list in some cases
• DatepartRegressionTransformer now accepts holiday country input as regressor
• added RegressionFilter
• changed bounded behavior of AlignLastValue
• small bug fixes