pytimetk 1.1.0

Highlights

• TimeSeriesCV and TimeSeriesCVSplitter: https://business-science.github.io/pytimetk/reference/#time-series-cross-validation-tscv
• New Tutorial - Time Series Cross Validation: https://business-science.github.io/pytimetk/tutorials/07_timeseries_crossvalidation.html

New Features

Time Series Cross Validation (TSCV)

Integration with timebasedcv #291. New Classes:

• TimeSeriesCV(): An enhanced version of TimeBasedSplit() that defaults to mode = "backwards", allows for maximum splits using split_limit, and adds enhanced diagnostics like glimpse() and plot()

Plotly Dropdowns

A plotly dropdown automates the group-wise analysis. Instead of facets, which are only powerful for <=9 plots at a time, a dropdown can easily visualize more plots.

• plot_timeseries(): Gets new parameters plotly_dropdown, plotly_dropdown_x, plotly_dropdown_y #301
• plot_anomalies(): Gets new parameters plotly_dropdown, plotly_dropdown_x, plotly_dropdown_y #301

Wide-Format Plotting

• plot_timeseries(value_column = list(), color_column=list()): Now supports multiple columns in wide format for grouped time series data visualization. #136

Full Changelog: v1.0.0...v1.1.0