add_changepoints_to_plot | Get layers to overlay significant changepoints on prophet... |
add_country_holidays | Add in built-in holidays for the specified country. |
add_group_component | Adds a component with given name that contains all of the... |
add_regressor | Add an additional regressor to be used for fitting and... |
add_seasonality | Add a seasonal component with specified period, number of... |
construct_holiday_dataframe | Construct a dataframe of holiday dates. |
coverage | Coverage |
cross_validation | Cross-validation for time series. |
df_for_plotting | Merge history and forecast for plotting. |
dyplot.prophet | Plot the prophet forecast. |
fit.prophet | Fit the prophet model. |
flat_growth_init | Initialize flat growth. |
flat_trend | Evaluate the flat trend function. |
fourier_series | Provides Fourier series components with the specified... |
generate_cutoffs | Generate cutoff dates |
generated_holidays | holidays table |
get_holiday_names | Return all possible holiday names of given country |
initialize_scales_fn | Initialize model scales. |
linear_growth_init | Initialize constant growth. |
logistic_growth_init | Initialize logistic growth. |
mae | Mean absolute error |
make_all_seasonality_features | Dataframe with seasonality features. Includes seasonality... |
make_future_dataframe | Make dataframe with future dates for forecasting. |
make_holiday_features | Construct a matrix of holiday features. |
make_holidays_df | Make dataframe of holidays for given years and countries |
make_seasonality_features | Data frame with seasonality features. |
mape | Mean absolute percent error |
mdape | Median absolute percent error |
mse | Mean squared error |
parse_seasonality_args | Get number of Fourier components for built-in seasonalities. |
performance_metrics | Compute performance metrics from cross-validation results. |
piecewise_linear | Evaluate the piecewise linear function. |
piecewise_logistic | Evaluate the piecewise logistic function. |
plot_cross_validation_metric | Plot a performance metric vs. forecast horizon from cross... |
plot_forecast_component | Plot a particular component of the forecast. |
plot.prophet | Plot the prophet forecast. |
plot_seasonality | Plot a custom seasonal component. |
plot_weekly | Plot the weekly component of the forecast. |
plot_yearly | Plot the yearly component of the forecast. |
predictive_samples | Sample from the posterior predictive distribution. |
predict.prophet | Predict using the prophet model. |
predict_seasonal_components | Predict seasonality components, holidays, and added... |
predict_trend | Predict trend using the prophet model. |
predict_uncertainty | Prophet uncertainty intervals for yhat and trend |
prophet | Prophet forecaster. |
prophet_copy | Copy Prophet object. |
prophet_plot_components | Plot the components of a prophet forecast. Prints a ggplot2... |
regressor_coefficients | Summarise the coefficients of the extra regressors used in... |
regressor_column_matrix | Dataframe indicating which columns of the feature matrix... |
rmse | Root mean squared error |
rolling_mean_by_h | Compute a rolling mean of x, after first aggregating by h |
rolling_median_by_h | Compute a rolling median of x, after first aggregating by h |
sample_model | Simulate observations from the extrapolated generative model. |
sample_posterior_predictive | Prophet posterior predictive samples. |
sample_predictive_trend | Simulate the trend using the extrapolated generative model. |
seasonality_plot_df | Prepare dataframe for plotting seasonal components. |
set_auto_seasonalities | Set seasonalities that were left on auto. |
set_changepoints | Set changepoints |
set_date | Convert date vector |
setup_dataframe | Prepare dataframe for fitting or predicting. |
single_cutoff_forecast | Forecast for a single cutoff. Used in cross_validation... |
smape | Symmetric mean absolute percentage error based on Chen and... |
time_diff | Time difference between datetimes |
validate_column_name | Validates the name of a seasonality, holiday, or regressor. |
validate_inputs | Validates the inputs to Prophet. |
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