def validate_inputs()

in python/prophet/forecaster.py [0:0]

• 36 lines of code
• 16 McCabe index (conditional complexity)

    def validate_inputs(self):
        """Validates the inputs to Prophet."""
        if self.growth not in ('linear', 'logistic', 'flat'):
            raise ValueError(
                'Parameter "growth" should be "linear", "logistic" or "flat".')
        if ((self.changepoint_range < 0) or (self.changepoint_range > 1)):
            raise ValueError('Parameter "changepoint_range" must be in [0, 1]')
        if self.holidays is not None:
            if not (
                isinstance(self.holidays, pd.DataFrame)
                and 'ds' in self.holidays  # noqa W503
                and 'holiday' in self.holidays  # noqa W503
            ):
                raise ValueError('holidays must be a DataFrame with "ds" and '
                                 '"holiday" columns.')
            self.holidays['ds'] = pd.to_datetime(self.holidays['ds'])
            if (
                self.holidays['ds'].isnull().any()
                or self.holidays['holiday'].isnull().any()
            ):
                raise ValueError('Found a NaN in holidays dataframe.')
            has_lower = 'lower_window' in self.holidays
            has_upper = 'upper_window' in self.holidays
            if has_lower + has_upper == 1:
                raise ValueError('Holidays must have both lower_window and ' +
                                 'upper_window, or neither')
            if has_lower:
                if self.holidays['lower_window'].max() > 0:
                    raise ValueError('Holiday lower_window should be <= 0')
                if self.holidays['upper_window'].min() < 0:
                    raise ValueError('Holiday upper_window should be >= 0')
            for h in self.holidays['holiday'].unique():
                self.validate_column_name(h, check_holidays=False)
        if self.seasonality_mode not in ['additive', 'multiplicative']:
            raise ValueError(
                'seasonality_mode must be "additive" or "multiplicative"'
            )