ThymeBoost
Forecasting with Gradient Boosted Time Series Decomposition
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최종 버전 다운로드 (.zip)- tb_logo (2).png
- conf.py
- index.rst
- make.bat
- Makefile
- modules.rst
- read_me.rst
- README.md
- setup.rst
- ThymeBoost.exogenous_models.rst
- ThymeBoost.fit_components.rst
- ThymeBoost.fitter.rst
- ThymeBoost.rst
- ThymeBoost.seasonality_models.rst
- ThymeBoost.trend_models.rst
- ThymeBoost.utils.rst
- AutoARIMA Trend.ipynb
- Exogenous Example.ipynb
- Linear Changepoint Model.ipynb
- Thymeboost_LBF_M4.ipynb
- complicated_components.png
- complicated_output_bad.png
- complicated_time_series.png
- ensemble_output.png
- n_rounds1.png
- optimized_ensemble.png
- optimizer_output.png
- tb_complicated_output.png
- tb_components_1.png
- tb_components_2.png
- tb_logo.png
- tb_output_1.png
- tb_output_2.png
- thymeboost_flow.png
- thymeboost_logo.png
- time_series.png
- time_series_2.png
- __init__.cpython-37.pyc
- _booster.cpython-37.pyc
- booster.cpython-37.pyc
- cost_functions.cpython-37.pyc
- CostFunctions.cpython-37.pyc
- ensemble.cpython-37.pyc
- fit_seasonality_test.cpython-37.pyc
- FitExogenous.cpython-37.pyc
- FitSeasonality.cpython-37.pyc
- FitTrend.cpython-37.pyc
- FitTrendTest.cpython-37.pyc
- optimizer.cpython-37.pyc
- param_iterator.cpython-37.pyc
- predict.cpython-37.pyc
- predict_functions.cpython-37.pyc
- skylasso.cpython-37.pyc
- split_proposals.cpython-37.pyc
- SplitProposals.cpython-37.pyc
- ThymeBoost.cpython-37.pyc
- ThymeBoostOptimizer.cpython-37.pyc
- __init__.py
- AirPassengers.csv
- examples.py
- Sales_and_Marketing.csv
- decision_tree_exogenous.cpython-37.pyc
- exogenous_base_class.cpython-37.pyc
- glm_exogenous.cpython-37.pyc
- ols_exogenous.cpython-37.pyc
- __init__.py
- decision_tree_exogenous.py
- exogenous_base_class.py
- glm_exogenous.py
- ols_exogenous.py
- fit_exogenous.cpython-37.pyc
- fit_seasonality.cpython-37.pyc
- fit_seasonality_test.cpython-37.pyc
- fit_trend.cpython-37.pyc
- fit_trend_test.cpython-37.pyc
- __init__.py
- fit_exogenous.py
- fit_seasonality.py
- fit_trend.py
- booster.cpython-37.pyc
- decompose.cpython-37.pyc
- __init__.py
- booster.py
- decompose.py
- __init__.cpython-37.pyc
- classic_seasonality.cpython-37.pyc
- fourier_seasonality.cpython-37.pyc
- seasonality_base_class.cpython-37.pyc
- SeasonalityBaseModel.cpython-37.pyc
- __init__.py
- classic_seasonality.py
- fourier_seasonality.py
- naive_seasonality.py
- seasonality_base_class.py
- unitTests.py
- __init__.cpython-37.pyc
- arima_trend.cpython-37.pyc
- ArimaModel.cpython-37.pyc
- ets_trend.cpython-37.pyc
- EtsModel.cpython-37.pyc
- ewm_trend.cpython-37.pyc
- EwmModel.cpython-37.pyc
- linear_trend.cpython-37.pyc
- LinearModel.cpython-37.pyc
- loess_trend.cpython-37.pyc
- LoessModel.cpython-37.pyc
- mean_trend.cpython-37.pyc
- MeanModel.cpython-37.pyc
- median_trend.cpython-37.pyc
- MedianModel.cpython-37.pyc
- ransac_trend.cpython-37.pyc
- RansacModel.cpython-37.pyc
- trend_base_class.cpython-37.pyc
- TrendBaseModel.cpython-37.pyc
- __init__.py
- arima_trend.py
- croston_trend.py
- decision_tree_trend.py
- ets_trend.py
- ewm_trend.py
- fast_arima_trend.py
- fast_ces_trend.py
- fast_ets_trend.py
- fast_imapa_trend.py
- fast_ses_trend.py
- fast_theta_trend.py
- lbf_trend.py
- linear_trend.py
- loess_trend.py
- mean_trend.py
- median_trend.py
- moving_average_trend.py
- naive_trend.py
- ransac_trend.py
- svr_trend.py
- theta_trend.py
- trend_base_class.py
- zero_trend.py
- build_output.cpython-37.pyc
- get_complexity.cpython-37.pyc
- plotting.cpython-37.pyc
- trend_dampen.cpython-37.pyc
- __init__.py
- build_output.py
- get_complexity.py
- hyperoptimizer.py
- plotting.py
- trend_dampen.py
- __init__.py
- cost_functions.py
- ensemble.py
- Forecaster.py
- optimizer.py
- param_iterator.py
- predict_functions.py
- split_proposals.py
- ThymeBoost.py
- .gitattributes
- .gitignore
- LICENSE.txt
- README.md
- requirements.txt
- setup.py
// repository documentation
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