Index _ | A | B | C | D | F | G | I | L | M | N | O | P | R | S | T | U | V | W | Y _ __init__() (BetaConstant method) (CombinedTimeSeries method) (FlatTrend method) (FourierSeasonality method) (LinearTrend method) (NormalConstant method) (UniformConstant method) __str__() (BetaConstant method) (NormalConstant method) (UniformConstant method) A AdditiveTimeSeries (class in vangja.time_series) B BetaConstant (class in vangja.components) C CombinedTimeSeries (class in vangja.time_series) compare_models() (in module vangja.utils) compute_log_likelihood() (TimeSeriesModel method) convergence_summary() (TimeSeriesModel method) D data (TimeSeriesModel attribute), [1] definition() (AdditiveTimeSeries method) (BetaConstant method) (FlatTrend method) (FourierSeasonality method) (LinearTrend method) (MultiplicativeTimeSeries method) (NormalConstant method) (SimpleMultiplicativeTimeSeries method) (UniformConstant method) ds_max (TScaleParams attribute), [1] ds_min (TScaleParams attribute), [1] F filter_predictions_by_series() (in module vangja.utils) fit() (TimeSeriesModel method) FlatTrend (class in vangja.components) FourierSeasonality (class in vangja.components) FreqStr (in module vangja.types) G generate_hierarchical_products() (in module vangja.datasets) generate_multi_store_data() (in module vangja.datasets) get_group_definition() (in module vangja.utils) get_initval() (TimeSeriesModel method) get_sp500_tickers_for_range() (in module vangja.datasets) group (BetaConstant attribute) (FlatTrend attribute) (FourierSeasonality attribute) (LinearTrend attribute) (NormalConstant attribute) (TimeSeriesModel attribute), [1] (UniformConstant attribute) groups_ (BetaConstant attribute) (FlatTrend attribute) (FourierSeasonality attribute) (LinearTrend attribute) (NormalConstant attribute) (TimeSeriesModel attribute), [1] (UniformConstant attribute) I initvals (TimeSeriesModel attribute), [1] is_individual() (CombinedTimeSeries method) (FlatTrend method) (FourierSeasonality method) (LinearTrend method) (TimeSeriesModel method) L left (CombinedTimeSeries attribute) LinearTrend (class in vangja.components) load_air_passengers() (in module vangja.datasets) load_citi_bike_sales() (in module vangja.datasets) load_kaggle_temperature() (in module vangja.datasets) load_nyc_temperature() (in module vangja.datasets) load_peyton_manning() (in module vangja.datasets) load_smart_home_readings() (in module vangja.datasets) load_stock_data() (in module vangja.datasets) loo() (TimeSeriesModel method) M map_approx (TimeSeriesModel attribute), [1] Method (in module vangja.types) method (TimeSeriesModel attribute), [1] metrics() (in module vangja.utils) model (TimeSeriesModel attribute), [1] model_idx (BetaConstant attribute), [1] (FlatTrend attribute), [1] (FourierSeasonality attribute), [1] (LinearTrend attribute), [1] (NormalConstant attribute), [1] (UniformConstant attribute), [1] model_idxs (TimeSeriesModel attribute), [1] module vangja.types MultiplicativeTimeSeries (class in vangja.time_series) N n_groups (BetaConstant attribute) (FlatTrend attribute) (FourierSeasonality attribute) (LinearTrend attribute) (NormalConstant attribute) (TimeSeriesModel attribute), [1] (UniformConstant attribute) needs_priors() (BetaConstant method) (CombinedTimeSeries method) (FlatTrend method) (FourierSeasonality method) (LinearTrend method) (NormalConstant method) (TimeSeriesModel method) (UniformConstant method) NormalConstant (class in vangja.components) NutsSampler (in module vangja.types) O OptimizationMethod (in module vangja.types) P plot() (TimeSeriesModel method) plot_energy() (TimeSeriesModel method) plot_posterior() (TimeSeriesModel method) plot_posterior_predictive() (in module vangja.utils) plot_prior_posterior() (in module vangja.utils) plot_prior_predictive() (in module vangja.utils) plot_trace() (TimeSeriesModel method) PoolType (in module vangja.types) predict() (TimeSeriesModel method) predict_uncertainty() (TimeSeriesModel method) prior_predictive_coverage() (in module vangja.utils) prior_sensitivity_analysis() (in module vangja.utils) R remove_random_gaps() (in module vangja.utils) right (CombinedTimeSeries attribute) S s (LinearTrend attribute) sample_posterior_predictive() (TimeSeriesModel method) sample_prior_predictive() (TimeSeriesModel method) samples (TimeSeriesModel attribute), [1] ScaleMode (in module vangja.types) Scaler (in module vangja.types) scaler (YScaleParams attribute), [1] SimpleMultiplicativeTimeSeries (class in vangja.time_series) summary() (TimeSeriesModel method) T t_scale_params (TimeSeriesModel attribute), [1] TimeSeriesModel (class in vangja.time_series) trace (TimeSeriesModel attribute), [1] TScaleParams (class in vangja.types) TuneMethod (in module vangja.types) U UniformConstant (class in vangja.components) V vangja.datasets.KaggleTemperatureCity (built-in variable) vangja.datasets.SmartHomeColumn (built-in variable) vangja.types module W waic() (TimeSeriesModel method) Y y_max (YScaleParams attribute), [1] y_min (YScaleParams attribute), [1] y_scale_params (TimeSeriesModel attribute), [1] YScaleParams (class in vangja.types)