Index A | B | C | D | E | F | H | I | L | M | N | O | P | R | S | T | V A AlignmentError approx (pymc_forecast.forecaster.Forecaster attribute) as_dataarray() (in module pymc_forecast.data) B backtest() (in module pymc_forecast.evaluate) BacktestResult (class in pymc_forecast.evaluate) BacktestWindowError build_model() (in module pymc_forecast.model) C CHAIN_DIM (in module pymc_forecast.data) concat_covariates() (in module pymc_forecast.data) concat_time_index() (in module pymc_forecast.data) conditional_mvn() (in module pymc_forecast.gaussian) create_prior() (pymc_forecast.priors.PriorConfig method) crps_empirical() (in module pymc_forecast.metrics) D data (pymc_forecast.model.Horizon attribute) DEFAULT_METRICS (in module pymc_forecast.metrics) default_priors (pymc_forecast.priors.PriorConfig attribute) DRAW_DIM (in module pymc_forecast.data) duration (pymc_forecast.model.Horizon property) E eval_coverage() (in module pymc_forecast.metrics) eval_crps() (in module pymc_forecast.metrics) eval_interval_score() (in module pymc_forecast.metrics) eval_mae() (in module pymc_forecast.metrics) eval_pinball() (in module pymc_forecast.metrics) eval_rmse() (in module pymc_forecast.metrics) evaluate_forecast() (in module pymc_forecast.metrics) extend_time_index() (in module pymc_forecast.data) F forecast() (in module pymc_forecast.prediction) (pymc_forecast.statespace.StatespaceForecaster method) FORECAST_VAR (in module pymc_forecast.model) Forecaster (class in pymc_forecast.forecaster) ForecastingModel (class in pymc_forecast.model) fourier_features() (in module pymc_forecast.features) from_arrays() (pymc_forecast.model.Horizon class method) future (pymc_forecast.model.Horizon property) FUTURE_DIM (in module pymc_forecast.data) H HMCForecaster (class in pymc_forecast.forecaster) Horizon (class in pymc_forecast.model) HorizonError I idata (pymc_forecast.forecaster.HMCForecaster attribute) (pymc_forecast.forecaster.PathfinderForecaster attribute) (pymc_forecast.statespace.StatespaceForecaster attribute) is_prior_like() (in module pymc_forecast.priors) L load_bart_od() (in module pymc_forecast.datasets) load_bart_weekly() (in module pymc_forecast.datasets) load_bart_weekly_by_origin() (in module pymc_forecast.datasets) load_victoria_electricity() (in module pymc_forecast.datasets) losses (pymc_forecast.forecaster.Forecaster attribute) M make_mase() (in module pymc_forecast.metrics) markov_time_series() (in module pymc_forecast.markov) MethodResolutionError metrics (pymc_forecast.evaluate.BacktestResult attribute) model (pymc_forecast.statespace.StatespaceForecaster attribute) model() (pymc_forecast.model.ForecastingModel method) module pymc_forecast.data pymc_forecast.datasets pymc_forecast.evaluate pymc_forecast.exceptions pymc_forecast.features pymc_forecast.forecaster pymc_forecast.gaussian pymc_forecast.markov pymc_forecast.metrics pymc_forecast.model pymc_forecast.prediction pymc_forecast.priors pymc_forecast.statespace MU_FORECAST_VAR (in module pymc_forecast.model) MU_VAR (in module pymc_forecast.model) N NotFittedError null_covariates() (in module pymc_forecast.data) num_samples (pymc_forecast.evaluate.BacktestResult attribute) O OBS_VAR (in module pymc_forecast.model) OptionalDependencyError P PathfinderForecaster (class in pymc_forecast.forecaster) periodic_repeat() (in module pymc_forecast.features) posterior_dataset() (in module pymc_forecast.prediction) predict() (in module pymc_forecast.model) (pymc_forecast.model.ForecastingModel method) predict_in_sample() (in module pymc_forecast.prediction) (pymc_forecast.statespace.StatespaceForecaster method) predict_mvn() (in module pymc_forecast.gaussian) prediction (pymc_forecast.evaluate.BacktestResult attribute) prediction_samples() (in module pymc_forecast.prediction) prior_config (pymc_forecast.priors.PriorConfig property) prior_obs_factory() (in module pymc_forecast.priors) prior_rv_factory() (in module pymc_forecast.priors) PriorConfig (class in pymc_forecast.priors) priors() (pymc_forecast.statespace.StatespaceModel method) pymc_forecast.data module pymc_forecast.datasets module pymc_forecast.evaluate module pymc_forecast.exceptions module pymc_forecast.features module pymc_forecast.forecaster module pymc_forecast.gaussian module pymc_forecast.markov module pymc_forecast.metrics module pymc_forecast.model module pymc_forecast.prediction module pymc_forecast.priors module pymc_forecast.statespace module PymcForecastError R results_to_dataframe() (in module pymc_forecast.evaluate) S SAMPLE_DIMS (in module pymc_forecast.data) ss_mod (pymc_forecast.statespace.StatespaceForecaster attribute) statespace() (pymc_forecast.statespace.StatespaceModel method) StatespaceForecaster (class in pymc_forecast.statespace) StatespaceModel (class in pymc_forecast.statespace) T t_obs (pymc_forecast.model.Horizon property) thin_draws() (in module pymc_forecast.prediction) time (pymc_forecast.model.Horizon attribute) TIME_DIM (in module pymc_forecast.data) time_future (pymc_forecast.model.Horizon attribute) time_series() (in module pymc_forecast.model) (pymc_forecast.model.ForecastingModel method) train_metrics (pymc_forecast.evaluate.BacktestResult attribute) V validate_alignment() (in module pymc_forecast.data)