SYMBOL INDEX (233 symbols across 15 files)

FILE: python/prophet/diagnostics.py
  class _SupportsMap (line 40) | class _SupportsMap(Protocol):
    method map (line 41) | def map(self, __f: Callable[..., object], *its: Iterable[object]) -> A...
  function generate_cutoffs (line 47) | def generate_cutoffs(
  function cross_validation (line 93) | def cross_validation(
  function single_cutoff_forecast (line 260) | def single_cutoff_forecast(
  function prophet_copy (line 324) | def prophet_copy(m: _ModelT, cutoff: pd.Timestamp | None = None) -> _Mod...
  function register_performance_metric (line 382) | def register_performance_metric(func: _PerformanceMetricT) -> _Performan...
  function performance_metrics (line 398) | def performance_metrics(
  function rolling_mean_by_h (line 488) | def rolling_mean_by_h(x: np.ndarray, h: np.ndarray, w: int, name: str) -...
  function rolling_median_by_h (line 541) | def rolling_median_by_h(x: np.ndarray, h: np.ndarray, w: int, name: str)...
  function mse (line 599) | def mse(df: pd.DataFrame, w: int) -> pd.DataFrame:
  function rmse (line 623) | def rmse(df: pd.DataFrame, w: int) -> pd.DataFrame:
  function mae (line 642) | def mae(df: pd.DataFrame, w: int) -> pd.DataFrame:
  function mape (line 666) | def mape(df: pd.DataFrame, w: int) -> pd.DataFrame:
  function mdape (line 690) | def mdape(df: pd.DataFrame, w: int) -> pd.DataFrame:
  function smape (line 714) | def smape(df: pd.DataFrame, w: int) -> pd.DataFrame:
  function coverage (line 740) | def coverage(df: pd.DataFrame, w: int) -> pd.DataFrame:

FILE: python/prophet/forecaster.py
  class Prophet (line 35) | class Prophet:
    method __init__ (line 128) | def __init__(
    method _load_stan_backend (line 201) | def _load_stan_backend(self, stan_backend: str | None) -> None:
    method validate_inputs (line 216) | def validate_inputs(self) -> None:
    method validate_column_name (line 260) | def validate_column_name(
    method setup_dataframe (line 315) | def setup_dataframe(self, df: pd.DataFrame, initialize_scales: bool = ...
    method initialize_scales (line 407) | def initialize_scales(self, initialize_scales: bool, df: pd.DataFrame)...
    method set_changepoints (line 456) | def set_changepoints(self) -> None:
    method fourier_series (line 504) | def fourier_series(
    method make_seasonality_features (line 537) | def make_seasonality_features(
    method construct_holiday_dataframe (line 565) | def construct_holiday_dataframe(self, dates: pd.Series[pd.Timestamp]) ...
    method make_holiday_features (line 612) | def make_holiday_features(
    method add_regressor (line 687) | def add_regressor(
    method add_seasonality (line 743) | def add_seasonality(
    method add_country_holidays (line 815) | def add_country_holidays(self, country_name: str) -> Self:
    method make_all_seasonality_features (line 856) | def make_all_seasonality_features(self, df: pd.DataFrame) -> tuple[
    method regressor_column_matrix (line 927) | def regressor_column_matrix(
    method add_group_component (line 998) | def add_group_component(
    method parse_seasonality_args (line 1024) | def parse_seasonality_args(
    method set_auto_seasonalities (line 1067) | def set_auto_seasonalities(self) -> None:
    method linear_growth_init (line 1124) | def linear_growth_init(df: pd.DataFrame) -> tuple[float, float]:
    method logistic_growth_init (line 1148) | def logistic_growth_init(df: pd.DataFrame) -> tuple[float, float]:
    method flat_growth_init (line 1190) | def flat_growth_init(df: pd.DataFrame) -> tuple[float, float]:
    method preprocess (line 1210) | def preprocess(self, df: pd.DataFrame, **kwargs: Any) -> ModelInputData:
    method calculate_initial_params (line 1258) | def calculate_initial_params(self, num_total_regressors: int) -> Model...
    method fit (line 1282) | def fit(self, df: pd.DataFrame, **kwargs: Any) -> Self:
    method predict (line 1342) | def predict(self, df: pd.DataFrame | None = None, vectorized: bool = T...
    method piecewise_linear (line 1390) | def piecewise_linear(
    method piecewise_logistic (line 1417) | def piecewise_logistic(
    method flat_trend (line 1461) | def flat_trend(
    method predict_trend (line 1479) | def predict_trend(
    method predict_seasonal_components (line 1511) | def predict_seasonal_components(self, df: pd.DataFrame) -> pd.DataFrame:
    method predict_uncertainty (line 1546) | def predict_uncertainty(self, df: pd.DataFrame, vectorized: bool) -> p...
    method sample_posterior_predictive (line 1572) | def sample_posterior_predictive(
    method sample_model (line 1624) | def sample_model(
    method sample_model_vectorized (line 1662) | def sample_model_vectorized(
    method sample_predictive_trend (line 1704) | def sample_predictive_trend(self, df: pd.DataFrame, iteration: int) ->...
    method sample_predictive_trend_vectorized (line 1759) | def sample_predictive_trend_vectorized(
    method _sample_uncertainty (line 1804) | def _sample_uncertainty(
    method _make_trend_shift_matrix (line 1867) | def _make_trend_shift_matrix(
    method _make_historical_mat_time (line 1884) | def _make_historical_mat_time(
    method _logistic_uncertainty (line 1908) | def _logistic_uncertainty(
    method predictive_samples (line 1969) | def predictive_samples(self, df: pd.DataFrame, vectorized: bool = True...
    method percentile (line 1994) | def percentile(self, a: npt.ArrayLike, *args: Any, **kwargs: Any) -> n...
    method make_future_dataframe (line 2005) | def make_future_dataframe(
    method plot (line 2043) | def plot(
    method plot_components (line 2078) | def plot_components(

FILE: python/prophet/make_holidays.py
  function get_country_holidays_class (line 14) | def get_country_holidays_class(country: str) -> type[holidays.HolidayBase]:
  function get_holiday_names (line 36) | def get_holiday_names(country: str) -> set[str]:
  function make_holidays_df (line 51) | def make_holidays_df(

FILE: python/prophet/models.py
  class _IStanBackendOptions (line 29) | class _IStanBackendOptions(TypedDict, total=False):
  class TrendIndicator (line 34) | class TrendIndicator(Enum):
  class ModelInputData (line 40) | class ModelInputData:
  class ModelParams (line 56) | class ModelParams:
  class IStanBackend (line 64) | class IStanBackend(ABC):
    method __init__ (line 69) | def __init__(self) -> None:
    method set_options (line 74) | def set_options(self, **kwargs: Unpack[_IStanBackendOptions]) -> None:
    method cleanup (line 85) | def cleanup(self) -> None:
    method get_type (line 92) | def get_type() -> str:
    method load_model (line 96) | def load_model(self) -> Any:
    method fit (line 100) | def fit(
    method sampling (line 109) | def sampling(
  class CmdStanPyBackend (line 119) | class CmdStanPyBackend(IStanBackend):
    method __init__ (line 125) | def __init__(self) -> None:
    method get_type (line 137) | def get_type() -> str:
    method load_model (line 140) | def load_model(self) -> CmdStanModel:
    method fit (line 145) | def fit(
    method sampling (line 179) | def sampling(
    method cleanup (line 219) | def cleanup(self) -> None:
    method sanitize_custom_inits (line 235) | def sanitize_custom_inits(
    method prepare_data (line 254) | def prepare_data(
    method stan_to_dict_numpy (line 285) | def stan_to_dict_numpy(
  class StanBackendEnum (line 328) | class StanBackendEnum(Enum):
    method get_backend_class (line 332) | def get_backend_class(name: str) -> type[IStanBackend]:

FILE: python/prophet/plot.py
  class _PlotlyProps (line 29) | class _PlotlyProps(TypedDict):
  function plot (line 60) | def plot(
  function plot_components (line 123) | def plot_components(
  function plot_forecast_component (line 234) | def plot_forecast_component(
  function seasonality_plot_df (line 289) | def seasonality_plot_df(
  function plot_weekly (line 316) | def plot_weekly(
  function plot_yearly (line 369) | def plot_yearly(
  function plot_seasonality (line 423) | def plot_seasonality(
  function set_y_as_percent (line 498) | def set_y_as_percent(ax: _AxT) -> _AxT:
  function add_changepoints_to_plot (line 506) | def add_changepoints_to_plot(
  function plot_cross_validation_metric (line 548) | def plot_cross_validation_metric(
  function plot_plotly (line 638) | def plot_plotly(
  function plot_components_plotly (line 807) | def plot_components_plotly(
  function plot_forecast_component_plotly (line 875) | def plot_forecast_component_plotly(
  function plot_seasonality_plotly (line 913) | def plot_seasonality_plotly(
  function get_forecast_component_plotly_props (line 946) | def get_forecast_component_plotly_props(
  function get_seasonality_plotly_props (line 1061) | def get_seasonality_plotly_props(

FILE: python/prophet/serialize.py
  function model_to_dict (line 42) | def model_to_dict(model: Prophet) -> dict[str, Any]:
  function model_to_json (line 109) | def model_to_json(model: Prophet) -> str:
  function _handle_simple_attributes_backwards_compat (line 128) | def _handle_simple_attributes_backwards_compat(model_dict: dict[str, Any...
  function model_from_dict (line 138) | def model_from_dict(model_dict: dict[str, Any]) -> Prophet:
  function model_from_json (line 200) | def model_from_json(model_json: str) -> Prophet:

FILE: python/prophet/tests/conftest.py
  function daily_univariate_ts (line 8) | def daily_univariate_ts() -> pd.DataFrame:
  function subdaily_univariate_ts (line 14) | def subdaily_univariate_ts() -> pd.DataFrame:
  function large_numbers_ts (line 20) | def large_numbers_ts() -> pd.DataFrame:
  function pytest_configure (line 25) | def pytest_configure(config):
  function pytest_addoption (line 29) | def pytest_addoption(parser):
  function pytest_collection_modifyitems (line 39) | def pytest_collection_modifyitems(config, items):
  function pytest_generate_tests (line 48) | def pytest_generate_tests(metafunc):

FILE: python/prophet/tests/test_diagnostics.py
  function ts_short (line 17) | def ts_short(daily_univariate_ts):
  class CustomParallelBackend (line 21) | class CustomParallelBackend:
    method map (line 22) | def map(self, func, *iterables):
  function mase (line 37) | def mase(df, w):
  class TestCrossValidation (line 58) | class TestCrossValidation:
    method test_cross_validation (line 60) | def test_cross_validation(self, ts_short, parallel_method, backend):
    method test_bad_parallel_methods (line 87) | def test_bad_parallel_methods(self, ts_short, backend):
    method test_check_single_cutoff_forecast_func_calls (line 97) | def test_check_single_cutoff_forecast_func_calls(self, ts_short, monke...
    method test_check_extra_output_columns_cross_validation (line 127) | def test_check_extra_output_columns_cross_validation(self, ts_short, b...
    method test_cross_validation_logistic_or_flat_growth (line 140) | def test_cross_validation_logistic_or_flat_growth(self, growth, ts_sho...
    method test_cross_validation_extra_regressors (line 153) | def test_cross_validation_extra_regressors(self, ts_short, backend):
    method test_cross_validation_default_value_check (line 180) | def test_cross_validation_default_value_check(self, ts_short, backend):
    method test_cross_validation_custom_cutoffs (line 191) | def test_cross_validation_custom_cutoffs(self, ts_short, backend):
    method test_cross_validation_uncertainty_disabled (line 204) | def test_cross_validation_uncertainty_disabled(self, ts_short, backend):
  class TestPerformanceMetrics (line 218) | class TestPerformanceMetrics:
    method test_performance_metrics (line 219) | def test_performance_metrics(self, ts_short, backend):
    method test_rolling_mean (line 284) | def test_rolling_mean(self):
    method test_rolling_median (line 306) | def test_rolling_median(self):
  class TestProphetCopy (line 330) | class TestProphetCopy:
    method data (line 332) | def data(self, daily_univariate_ts):
    method test_prophet_copy (line 338) | def test_prophet_copy(self, data, backend):
    method test_prophet_copy_custom (line 392) | def test_prophet_copy_custom(self, data, backend):

FILE: python/prophet/tests/test_prophet.py
  function train_test_split (line 14) | def train_test_split(ts_data: pd.DataFrame, n_test_rows: int) -> pd.Data...
  function rmse (line 20) | def rmse(predictions, targets) -> float:
  class TestProphetFitPredictDefault (line 24) | class TestProphetFitPredictDefault:
    method test_fit_predict (line 30) | def test_fit_predict(self, daily_univariate_ts, backend, scaling, expe...
    method test_fit_predict_newton (line 47) | def test_fit_predict_newton(self, daily_univariate_ts, backend, scalin...
    method test_fit_predict_large_numbers (line 63) | def test_fit_predict_large_numbers(self, large_numbers_ts, backend, sc...
    method test_fit_predict_sampling (line 75) | def test_fit_predict_sampling(self, daily_univariate_ts, backend):
    method test_fit_predict_no_seasons (line 88) | def test_fit_predict_no_seasons(self, daily_univariate_ts, backend):
    method test_fit_predict_no_changepoints (line 99) | def test_fit_predict_no_changepoints(self, daily_univariate_ts, backend):
    method test_fit_predict_no_changepoints_mcmc (line 109) | def test_fit_predict_no_changepoints_mcmc(self, daily_univariate_ts, b...
    method test_fit_changepoint_not_in_history (line 118) | def test_fit_changepoint_not_in_history(self, daily_univariate_ts, bac...
    method test_fit_predict_duplicates (line 130) | def test_fit_predict_duplicates(self, daily_univariate_ts, backend):
    method test_fit_predict_constant_history (line 144) | def test_fit_predict_constant_history(self, daily_univariate_ts, backe...
    method test_fit_predict_uncertainty_disabled (line 156) | def test_fit_predict_uncertainty_disabled(self, daily_univariate_ts, b...
  class TestProphetDataPrep (line 174) | class TestProphetDataPrep:
    method test_setup_dataframe (line 175) | def test_setup_dataframe(self, daily_univariate_ts, backend):
    method test_setup_dataframe_ds_column (line 188) | def test_setup_dataframe_ds_column(self, daily_univariate_ts, backend):
    method test_logistic_floor (line 197) | def test_logistic_floor(self, daily_univariate_ts, backend):
    method test_logistic_floor_minmax (line 213) | def test_logistic_floor_minmax(self, daily_univariate_ts, backend):
    method test_make_future_dataframe (line 233) | def test_make_future_dataframe(self, daily_univariate_ts, backend):
    method test_make_future_dataframe_include_history (line 247) | def test_make_future_dataframe_include_history(self, daily_univariate_...
  class TestProphetTrendComponent (line 258) | class TestProphetTrendComponent:
    method test_invalid_growth_input (line 259) | def test_invalid_growth_input(self, backend):
    method test_growth_init (line 264) | def test_growth_init(self, daily_univariate_ts, backend):
    method test_growth_init_minmax (line 283) | def test_growth_init_minmax(self, daily_univariate_ts, backend):
    method test_flat_growth (line 303) | def test_flat_growth(self, backend, scaling):
    method test_piecewise_linear (line 321) | def test_piecewise_linear(self, backend):
    method test_piecewise_logistic (line 339) | def test_piecewise_logistic(self, backend):
    method test_flat_trend (line 372) | def test_flat_trend(self, backend):
    method test_get_changepoints (line 384) | def test_get_changepoints(self, daily_univariate_ts, backend):
    method test_set_changepoint_range (line 400) | def test_set_changepoint_range(self, daily_univariate_ts, backend):
    method test_get_zero_changepoints (line 416) | def test_get_zero_changepoints(self, daily_univariate_ts, backend):
    method test_override_n_changepoints (line 426) | def test_override_n_changepoints(self, daily_univariate_ts, backend):
  class TestProphetSeasonalComponent (line 437) | class TestProphetSeasonalComponent:
    method test_fourier_series_weekly (line 438) | def test_fourier_series_weekly(self, daily_univariate_ts):
    method test_fourier_series_yearly (line 444) | def test_fourier_series_yearly(self, daily_univariate_ts):
    method test_auto_weekly_seasonality (line 452) | def test_auto_weekly_seasonality(self, daily_univariate_ts, backend):
    method test_auto_yearly_seasonality (line 489) | def test_auto_yearly_seasonality(self, daily_univariate_ts, backend):
    method test_auto_daily_seasonality (line 520) | def test_auto_daily_seasonality(self, daily_univariate_ts, subdaily_un...
    method test_set_seasonality_mode (line 554) | def test_set_seasonality_mode(self, backend):
    method test_set_holidays_mode (line 563) | def test_set_holidays_mode(self, backend):
    method test_seasonality_modes (line 574) | def test_seasonality_modes(self, daily_univariate_ts, backend):
  class TestProphetCustomSeasonalComponent (line 615) | class TestProphetCustomSeasonalComponent:
    method test_custom_monthly_seasonality (line 616) | def test_custom_monthly_seasonality(self, backend):
    method test_duplicate_component_names (line 627) | def test_duplicate_component_names(self, backend):
    method test_custom_fourier_order (line 643) | def test_custom_fourier_order(self, backend):
    method test_custom_priors (line 651) | def test_custom_priors(self, daily_univariate_ts, backend):
    method test_conditional_custom_seasonality (line 690) | def test_conditional_custom_seasonality(self, daily_univariate_ts, bac...
  class TestProphetHolidays (line 731) | class TestProphetHolidays:
    method test_holidays_lower_window (line 732) | def test_holidays_lower_window(self, backend):
    method test_holidays_upper_window (line 749) | def test_holidays_upper_window(self, backend):
    method test_holidays_priors (line 766) | def test_holidays_priors(self, backend):
    method test_holidays_bad_priors (line 812) | def test_holidays_bad_priors(self, backend):
    method test_fit_with_holidays (line 828) | def test_fit_with_holidays(self, daily_univariate_ts, backend):
    method test_fit_predict_with_country_holidays (line 840) | def test_fit_predict_with_country_holidays(self, daily_univariate_ts, ...
    method test_subdaily_holidays (line 867) | def test_subdaily_holidays(self, subdaily_univariate_ts, backend):
  class TestProphetRegressors (line 881) | class TestProphetRegressors:
    method test_added_regressors (line 882) | def test_added_regressors(self, daily_univariate_ts, backend):
    method test_constant_regressor (line 960) | def test_constant_regressor(self, daily_univariate_ts, backend):
  class TestProphetWarmStart (line 969) | class TestProphetWarmStart:
    method test_fit_warm_start (line 970) | def test_fit_warm_start(self, daily_univariate_ts, backend):
    method test_sampling_warm_start (line 977) | def test_sampling_warm_start(self, daily_univariate_ts, backend):

FILE: python/prophet/tests/test_serialize.py
  class TestSerialize (line 17) | class TestSerialize:
    method test_simple_serialize (line 18) | def test_simple_serialize(self, daily_univariate_ts, backend):
    method test_full_serialize (line 60) | def test_full_serialize(self, daily_univariate_ts, backend):
    method test_backwards_compatibility (line 132) | def test_backwards_compatibility(self):

FILE: python/prophet/tests/test_utilities.py
  class TestUtilities (line 12) | class TestUtilities:
    method test_regressor_coefficients (line 13) | def test_regressor_coefficients(self, daily_univariate_ts, backend):

FILE: python/prophet/utilities.py
  function regressor_index (line 18) | def regressor_index(m: Prophet, name: str) -> np.intp:
  function regressor_coefficients (line 33) | def regressor_coefficients(m: Prophet) -> pd.DataFrame:
  function warm_start_params (line 84) | def warm_start_params(m: Prophet) -> dict[str, npt.NDArray[np.float64] |...

FILE: python/scripts/generate_holidays_file.py
  function utf8_to_ascii (line 16) | def utf8_to_ascii(text: str) -> str:
  function generate_holidays_df (line 31) | def generate_holidays_df() -> pd.DataFrame:

FILE: python/setup.py
  function prune_cmdstan (line 32) | def prune_cmdstan(cmdstan_dir: str) -> None:
  function repackage_cmdstan (line 58) | def repackage_cmdstan():
  function maybe_install_cmdstan_toolchain (line 62) | def maybe_install_cmdstan_toolchain() -> bool:
  function install_cmdstan_deps (line 80) | def install_cmdstan_deps(cmdstan_dir: Path):
  function build_cmdstan_model (line 102) | def build_cmdstan_model(target_dir):
  function get_backends_from_env (line 142) | def get_backends_from_env() -> List[str]:
  function build_models (line 146) | def build_models(target_dir):
  class BuildPyCommand (line 154) | class BuildPyCommand(build_py):
    method run (line 157) | def run(self):
  class BuildExtCommand (line 166) | class BuildExtCommand(build_ext):
    method run (line 169) | def run(self):
  class EditableWheel (line 173) | class EditableWheel(editable_wheel):
    method run (line 176) | def run(self):
  class BDistWheelABINone (line 185) | class BDistWheelABINone(bdist_wheel):
    method finalize_options (line 186) | def finalize_options(self):
    method get_tag (line 190) | def get_tag(self):

FILE: python_shim/fbprophet/tests/test_package.py
  class TestFbprophet (line 21) | class TestFbprophet(TestCase):
    method test_shim (line 23) | def test_shim(self):