Changes in version 0.3.0 (2025-09-03)                  

🚀 New Features & Improvements

  - Compatibility with tune 2.0.0
    
      - Updated internals to support new tune::fit_resamples() behavior.
      - Improved handling of .predictions column reconstruction when
        missing.
      - Added robust fallback logic to normalize truth/prediction
        columns across versions.

  - Improved Resampling Functions
    
      - modeltime_fit_resamples() now ensures predictions are always
        saved.
      - Added deterministic seeding (withr::with_seed()) for
        reproducible resample fits.
      - Better error handling: failed resample fits now produce .notes
        with clear error messages.

  - Plotting Enhancements
    
      - plot_modeltime_resamples() now standardizes truth/estimate
        detection.
      - Improved facetting and summary-line consistency.
      - More graceful error messages if truth/pred columns cannot be
        identified.
      - Optional interactive output improved with Plotly checks.

  - Utility Upgrades
    
      - unnest_modeltime_resamples() more robust:
        
          - Ensures .predictions column exists (reconstructed if
            missing).
          - Clear actionable errors when predictions are unavailable.
          - Guarantees .row_id assignment for comparing models across
            resamples.

🛠 Dependency Updates

  - tune (>= 2.0.0) is now required.
  - Added withr to Imports.
  - Retained compatibility with older tune versions (<2.0.0) via
    conditional handling.

⚡ Internal Improvements

  - Standardized use of rlang::abort(message=...) for consistent error
    messages.
  - Reduced reliance on tictoc/progressr in favor of clearer progress
    reporting.
  - Expanded utils::globalVariables() for safer NSE handling across
    dplyr/tidyr.

                 Changes in version 0.2.3 (2023-04-12)                  

  - Resubmit to CRAN (timetk issue)

                 Changes in version 0.2.2 (2022-10-18)                  

  - Fix for workflows mode = "regression"

                 Changes in version 0.2.1 (2022-06-07)                  

Fixes

  - Updates for hardhat 1.0.0 #11

                 Changes in version 0.2.0 (2021-03-14)                  

  - modeltime_resample_accuracy() (#1): When user specifies summary_fns
    = NULL, returns unsummarized resample metrics with ".resample_id"

                 Changes in version 0.1.0 (2020-11-05)                  

  - Initial modeltime.resample Package Release