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Commits on Feb 8, 2024

• add support for more lr scheduler config parameters to torch models (#2218)

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Commits on Feb 16, 2024

• Improve description for ARIMA parameters (p, q, seasonal_orders and trend) (#2142)

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• Pre commit hooks upgrade (#2228)

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Commits on Feb 24, 2024

• Reformat / lint repository with new dev dependency versions (#2248)

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• Fix/ts prepend (#2237)

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• fix: update hierarchy for single transform window_transform (#2207)

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• fix ElectricityConsumptionZurich dataset hash (#2250)

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• Dep/relax ptl (#2251)

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Commits on Feb 26, 2024

• Fix: Using gridsearch with use_fitted_values=True raises unexpected error (#2222)

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• Change default gridsearch kwarg value (#2243)

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Commits on Feb 29, 2024

• Feat/shifted output (#2176)

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Commits on Mar 1, 2024

• fix: datetime_attribute account for 0 or 1-indexing of the attributes (#2242)

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Commits on Mar 2, 2024

• Fix: estimator getter and lagged_label_name (#2246)

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Commits on Mar 4, 2024

• fix failing dataset unit tests for py38 (#2263)

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• Feat/global naive models (#2261)

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• fix torch baseline model import (#2266)

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Commits on Mar 5, 2024

• Release 0.28.0 (#2268)

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• Release 0.28.0

  

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Commits on Mar 11, 2024

• Repo/update code owners (#2275)

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Commits on Mar 12, 2024

• Add ForecastingModel.supports_probabilistic_prediction (#2259) (#2269)

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Commits on Mar 15, 2024

• fix type hinting for _with_sanity_checks (#2286)

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Commits on Mar 16, 2024

• Add optional inverse transform in historical forecast (#2267)

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Commits on Apr 4, 2024

• Refactor/metrics (#2284)

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Commits on Apr 8, 2024

• lxml_html_clean for nbshinx (#2303)

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• fix lighgbm segmentation fault (#2304)

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• Fix/example notebooks metrics (#2305)

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• Implement TSMixer Model (#2293)

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Commits on Apr 9, 2024

• use pytest to skip torch tests (#2307)

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• add TimesSeries.from_group_dataframe parallel mode (#2292)

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• bump black[jupyter] 24.1.1 to 24.3.0 (#2308)

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• add codecov token to merge and dev ci pipelines (#2309)

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Commits on Apr 11, 2024

• Fix/mc dropout (#2312)

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• fix failing unit tests for no torch flavors (#2317)

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• bump codecov-action from v3 to v4 (#2316)

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Commits on Apr 12, 2024

• Fix/comp lags feat order (#2272)

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• speed up regression model tests (#2321)

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• add progress bar to regression models for hist fc (#2320)

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Commits on Apr 16, 2024

• Fix/historical forecasts torch models (#2329)

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• fix failing unit tests for no torch flavor (#2330)

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Commits on Apr 17, 2024

• lint: switch flake8 to Ruff (#2323)

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• Devops/release notes (#2333)

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• Release 0.29.0 (#2335)

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• use fine grained PAT for release workflow (#2336)

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• Release 0.29.0

  

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• lint: default pre-commit hooks & fixing (#2324)

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• Fix/csv eof (#2337)

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Commits on Apr 18, 2024

• ci: use pre-commit also locally (#2327)

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• lint: replace isort with Ruff's rule I (#2339)

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• lint: replace pyupgrade with Ruff's rule UP (#2340)

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Commits on Apr 30, 2024

• bump actions/setup-python from v1 to v5 (#2360)

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• Lint/e402 (#2361)

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• fix index generation and n steps between (#2357)

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Commits on May 2, 2024

• fix deprecation warnings from frequencies (#2364)

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• fix failing unit tests (#2366)

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Commits on May 6, 2024

• fix tsmixer loss_fn/likelihood param docs (#2373)

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• fix MixedCovTorchModels multi TS predictions with n<ocl (#2374)

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• remove docs __all__ imports (#2376)

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Commits on May 7, 2024

• Bump jinja2 from 3.1.3 to 3.1.4 in /requirements (#2377)

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Commits on May 10, 2024

• Refactor/anomaly detection api (#1477)

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Commits on May 13, 2024

• lint: replace Black with ruff-format (#2341)

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Commits on May 16, 2024

• Fix/regr model eval set comp specific lags (#2383)

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Commits on May 27, 2024

• rework metrics logic to support states (#2391)

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Commits on Jun 3, 2024

• add DataLoader related parameters to fit() and predict() (#2295)

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Commits on Jun 5, 2024

• Refactor/transformer masking (#2401)

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Commits on Jun 17, 2024

• upper cap numpy<2.0.0 (#2413)

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• Feat/sample weights (#2404)

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• Feat/sample weight torch (#2410)

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Commits on Jun 19, 2024

• Feat/sample weight hist fc (#2417)

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• Docs/quickstart update (#2418)

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• Release 0.30.0 (#2419)

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• Fix/failing unit tests (#2420)

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• Release 0.30.0

  

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Commits on Jun 24, 2024

• Fix/regr model hist fc static covs no target lags (#2426)

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Commits on Jun 26, 2024

• fix bug in shapexplainer with native multioutput support and explaini… (#2428)

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Commits on Jul 2, 2024

• Replacing the obsolete applymap with map (#2436)

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Commits on Jul 3, 2024

• Uses applymap for older versions of pandas (for new ones map is used). (#2443)

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• Replacement of deprecated Series.fillna -> 'method' with ffill() and bfill(). (#2442)

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Commits on Jul 4, 2024

• Added the IQR Detector (#2441)

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Commits on Jul 5, 2024

• fix the sample_weights bug (#2445)

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• Update README.md to be more colorblind friendly (#2433)

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Commits on Jul 8, 2024

• Access a value by position, use iloc. (#2448)

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• Removes warning: "Passing literal json to 'read_json' is deprecated". (#2450)

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• fix: PerformanceWarning - DataFrame is highly fragmented (#2447)

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Commits on Jul 19, 2024

• Fix Issue 2454 (#2455)

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• rewrite Hyperparameter optimization with Ray Tune (#2459)

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• Improvement/Adds temporal_hidden_size_past and temporal_hidden_size_future hyperparams to TiDEModel (#2416)

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Commits on Jul 26, 2024

• Convert pd_series1 to float64 type. (#2466)

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Commits on Jul 30, 2024

• fix resampling with DateOffset (#2479)

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Commits on Jul 31, 2024

• Use pd_series3 in tests, was always using series2 before (#2474)

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• Allow broadcasting single-sample TimeSeries onto multi-sample TimeSeries (#2476)

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Commits on Aug 1, 2024

• fix series_reduction docstring (#2486)

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Commits on Aug 19, 2024

• Fix/RegressionEnsembleModel save and load (#2465)

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Commits on Aug 22, 2024

• Update 21-TSMixer-examples.ipynb (#2508)

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Commits on Aug 30, 2024

• Bump jupyterlab from 4.0.11 to 4.2.5 in /requirements (#2515)

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• Fix/bug time series.from group dataframe 2491 (#2512)

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Commits on Sep 2, 2024

• attempt to fix failing test due to randomness (#2518)

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• Fix/update doc (#2511)

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Commits on Sep 13, 2024

• Feature add activation to BlockRNN (#2492) (#2504)

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• Fix/bug 2491 revisited (#2520)

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• Fix/bug time series.append and prepend (#2522)

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Commits on Sep 15, 2024

• fixes bug when plotting multivariate probabilistic series where the c… (#2532)

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• Fix/optimized hfc prob regr (#2534)

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Commits on Sep 20, 2024

• Feat/metrics quantiles (#2530)

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Commits on Sep 25, 2024

• Fix the comment of scorers_are_univariate (#2542)

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Commits on Sep 28, 2024

• fix plkl param prediction with multi_models=False (#2545)

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Commits on Oct 13, 2024

• Release 0.31.0 (#2561)

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• Release 0.31.0

  

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Commits on Oct 27, 2024

• fix failing torch test for torchmetrics when multi output (#2573)

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Commits on Nov 2, 2024

• fix bug in create lagged component names without target lags (#2576)

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• Feat/hist fc start stride (#2560)

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Commits on Nov 3, 2024

• Update CI/CD pipelines Part 1 (#2577)

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• Update CI/CD pipelines Part 1 (#2580)

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• fix failing merge workflow (#2581)

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• Feat/improve cicd part4 (#2582)

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• Feat/improve cicd part5 (#2583)

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• remove gradle (#2584)

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Commits on Nov 7, 2024

• bump minimum python version from 3.8 to 3.9 (#2586)

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• replacing deprecated "squared": False from mean_squared_error (#2554)

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Commits on Nov 10, 2024

• add uv to path for mac pipeline (#2590)

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Commits on Nov 11, 2024

• Update ruff to 0.7.2 and target python to 3.9 (#2589)

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• Fix/hfc opti reg prob (#2588)

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Commits on Nov 14, 2024

• Fix/deprec nn (#2593)

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• numpy 2.0 replacing deprecated namespace (#2553)

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Commits on Nov 21, 2024

• minor spell fix (#2601)

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• Bump lxml-html-clean from 0.1.1 to 0.4.0 in /requirements (#2598)

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Commits on Nov 22, 2024

• Fix backtest and residuals for multi series with different number of historical forecasts (#2604)

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Commits on Nov 25, 2024

• Feat/scalar with window (#2529)

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Commits on Nov 26, 2024

• fix failing hist fc tests from missing torch (#2607)

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Commits on Dec 8, 2024

• Fix/documentation url of statsforecast models (#2610)

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Commits on Dec 14, 2024

• upper cap sklearn to <1.6.0 due to xgboost not supporting it (#2618)

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Commits on Dec 19, 2024

• fix index generation for optimized hist fc with regression models (#2623)

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Commits on Dec 20, 2024

• Feat/conformal prediction (#2552)

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Commits on Dec 21, 2024

• fix encoder support for conformal models (#2627)

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• Release 0.32.0 (#2628)

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• Release 0.32.0

  

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Commits on Dec 24, 2024

• Imp/Add new model StatsForecastAutoTBATS (#2611)

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Commits on Dec 31, 2024

• FIX-2633: Use correct time indices when running historical forecasts with output_chunk_shift in regression models (#2634)

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Commits on Jan 8, 2025

• Feat/show_anomalies for multivariate (#2544)

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• title as parameter for TimeSeries.plot() (#2639)

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Commits on Jan 21, 2025

• Fix/ShapExplainer-summary_plot-Horizon-does-not-include-output_chunk_shift (#2647)

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Commits on Jan 24, 2025

• Feat/slice intersect multi series (#2592)

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• Feat/resample (#2654)

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Commits on Jan 25, 2025

• Feat/Add-metric-WMAPE (#2648)

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Commits on Jan 31, 2025

• fix lags_past_covariates dict type breaks lags_future_covariates when output_chunk_shift>0 (#2655)

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• fix failing tfm load with pytorch>=2.6.0 (#2658)

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Commits on Feb 3, 2025

• Allow to strip training data for storage and memory reason on save for GlobalForecastingModel (#2649)

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Commits on Feb 8, 2025

• Fix global naive models cannot be used in ensemble models (#2666)

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Commits on Feb 14, 2025

• relax sklearn upper version cap (#2665)

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• Bump jinja2 from 3.1.4 to 3.1.5 in /requirements (#2672)

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• Docs/window anom sc (#2674)

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• Fix/val_sample_weight error for models inherited from RegressionModel (#2626)

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• Release 0.33.0 (#2676)

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• Release 0.33.0

  

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Commits on Feb 18, 2025

• fix tests for m1 (#2682)

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• fix tests for m1 part 2 (#2683)

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Commits on Feb 19, 2025

• add public function untrained_model() in docs (#2684)

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• Feat/onnx support (#2620)

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Commits on Feb 21, 2025

• fix python path if working locally (#2691)

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• DOC fix install guide link in 00-quickstart.ipynb (#2688)

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• Color choice for multivariate timeseries (#2680)

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Commits on Feb 24, 2025

• revert back to saving and loading a TFM with torch rather than pickle (#2692)

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Commits on Feb 28, 2025

• improve build docs locally in contribution.md (#2698)

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• Narwhals implementation of from_dataframe and performance benchmark (#2661)

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Commits on Mar 6, 2025

• Bump jinja2 from 3.1.5 to 3.1.6 in /requirements (#2717)

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• Fix wrong call to TimeSeries.from_series() (#2719)

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Commits on Mar 7, 2025

• Catboost native multi-output with RMSE (#2659)

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• Fix/inverse transform for static covariate with single category across series (#2710)

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• feat: adding support for getting estimator based on quantile (#2716)

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• Fixes bug when using historical forecast with discrete lags < -1 (#2715)

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Commits on Mar 8, 2025

• Feat/test optional dep (onnx, ray, optuna) (#2702)

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• Fix/code maintenance after dependencies update (#2722)

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• fixes failing update-cache workflow (#2723)

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• to_dataframe(backend) and to_series(backend) (#2701)

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• Feature/metadata (#2656)

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• fix nlinear norm (#2724)

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Commits on Mar 9, 2025

• update quickstart, readme and timeseries docs (#2725)

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• Release 0.34.0 (#2726)

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• Release 0.34.0

  

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Commits on Mar 14, 2025

• Remove deprecated pd_dataframe() and pd_series() (#2733)

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