Defines a dataframe with values from a sequence, so it's easy to track lagged values.

Daily data.

Defines a dataframe with values from a sequence, so it's easy to track lagged values.

Hourly data.

Defines a dataframe with values from a sequence, so it's easy to track lagged values.

Monthly data.

fetches the Peyton Manning pageview data

100 days of hourly data with regressors

Weekly data.

Defines a dataframe with values from a sequence, so it's easy to track lagged values.

This is the reward function which checks how close to zero the result is.

Dumps ``self.forecast_result`` to local pickle files. Parameters ---------- destination_dir : `str` The pickle de

Computes the column mean and standard deviation, stored as ``mean`` and ``std`` attributes. Parameters ---------- X :

Sets the time origin for input time series

This method prepares and fits the input data. This means that for the input series `y`, it fits the parameters which are then used to

The logic of the fit. This is an abstract method of the base class: `~greykite.common.features.outlier.BaseOutlierDetector` an

The logic of the fit. This is an abstract method of the base class: `~greykite.common.features.outlier.BaseOutlierDetector` an

A function to take a single order and fit the seasonality model. Then it calculates the AIC/BIC of the model. Parameters

Generates ``forecast_config`` for testing.

Generates ``forecast_config`` for testing.

Generates ``forecast_config`` for testing.

Loads and prepares some real and simulated data sets for performance testing.

The forecast model results.

Converts a json string to the corresponding instance of the `ForecastConfig` class. Raises ValueError if the input is not a json string.

Parses a list of floats

Parses a list that contains lists of strings

feature transformation pipeline for test cases

feature transformation pipeline for test cases

Generates daily data to be used for end-to-end AD testing.

Generates hourly data to be used for end-to-end AD testing.

Generates weekly data to be used for end-to-end AD testing.

Computes multiple exploratory data analysis (EDA) plots to visualize the metric in ``value_col``and aid in modeling. The EDA plots are written in

Returns the metric function

Returns the metric function.

Returns the greater_is_better boolean.

Returns the short name

Returns the short name.

Gets the name string when model template type is single or multi.

Generates data for testing `GreykiteDetector`.

Generate 500 days of hourly data for tests

Generate 500 days of hourly data for tests

Generate 500 days of hourly data for tests

Generates 500 days of hourly data for tests

Generate 500 days of hourly data for tests

Generate 500 days of hourly data for tests

Generate 500 days of hourly data for tests

Returns a decorator to ignore all warnings in the specified category. Parameters ---------- category : class Any warning that

A function which takes a list of datetime-like objects and returns a list of booleans to determine if that timestamp is in daylight sa

Gets the True/False for elements that are not/are NANs. Parameters ---------- x : array-like The input array.

Generate a dictionary of 3 lagged regressors with different dtypes

Loads ``self.forecast_result`` from local files created by ``self.dump_result``. Parameters ---------- source_dir : `str`

Loads the FRED House Supply dataset. This dataset contains the monthly house supply in the United States from 1963 to 2021 obtained f