Time Series Prediction with Integrated Tuning


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Documentation for package ‘tspredit’ version 1.2.707

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fertilizers Fertilizers (Regression)
select_hyper.ts_tune Select Optimal Hyperparameters for Time Series Models
ts_aug_awareness Augmentation by awareness
ts_aug_awaresmooth Augmentation by awareness smooth
ts_aug_flip Augmentation by flip
ts_aug_jitter Augmentation by jitter
ts_aug_none no augmentation
ts_aug_shrink Augmentation by shrink
ts_aug_stretch Augmentation by stretch
ts_aug_wormhole Augmentation by wormhole
ts_elm ELM
ts_fil_ema Time Series Exponential Moving Average
ts_fil_emd EMD Filter
ts_fil_fft FFT Filter
ts_fil_hp Hodrick-Prescott Filter
ts_fil_kalman Kalman Filter
ts_fil_lowess Lowess Smoothing
ts_fil_ma Time Series Moving Average
ts_fil_none no filter
ts_fil_qes Quadratic Exponential Smoothing
ts_fil_recursive Recursive Filter
ts_fil_remd EMD Filter
ts_fil_seas_adj Seasonal Adjustment
ts_fil_ses Simple Exponential Smoothing
ts_fil_smooth Time Series Smooth
ts_fil_spline Smoothing Splines
ts_fil_wavelet Wavelet Filter
ts_fil_winsor Winsorization of Time Series
ts_knn KNN time series prediction
ts_maintune Time Series Tune
ts_mlp MLP
ts_norm_an Time Series Adaptive Normalization
ts_norm_diff Time Series Diff
ts_norm_ean Time Series Adaptive Normalization (Exponential Moving Average - EMA)
ts_norm_gminmax Time Series Global Min-Max
ts_norm_none no normalization
ts_norm_swminmax Time Series Sliding Window Min-Max
ts_rf Random Forest
ts_svm SVM
ts_tune Time Series Tune