Check to make sure that time is compatible with time_column, where time could be a timestamp, or a Timedelta, number, or None, and time_c

Checks if `time` is an instance of common int, float, or datetime types. Returns "numeric" or Datetime based on results

Transform LiteFeature into FeatureBase object. Handles the Multi-output feature in correct way. Args: feature (LiteFeature)

For a given primitive, creates all engineered features Args: primitive (Type[PrimitiveBase]) feature_collection (FeatureColl

Generator which yields the names of all dataframes connected through forward relationships, and the path taken to each. A dataframe w

Generate and return a mapping of {feature name -> depth} in the feature DAG for the given dataframe.

Returns all Natural Language transform primitives

Handles index creation logic base on user input

Checks if the given string is a local tarfile path. Returns a boolean.

Load in a list of primitives registered by other libraries into Featuretools. Example entry_points definition for a library using this entry poin

Reconstruct departure_time, scheduled_dep_time, arrival_time and scheduled_arr_time by adding known delays to known times. We do: - de

Create features for the provided dataframe Args: dataframe (DataFrame): Dataframe for which to create features.

Verify that the cutoff time is a single value or a pandas dataframe with the proper columns containing no duplicate rows

instance_vals may be a pd.Dataframe, a pd.Series, a list, a single value, or None. This function always returns a Series or None.

Given a set of features and cutoff_times to be passed to calculate_feature_matrix, calculates approximate values of some features to speed up

no-op

Convert a List of FeatureBase objects to a list LiteFeature objects Args: featurebase_list (List[FeatureBase]): Returns:

Convert country to country + subdivision Created in response to library changes that changed countries to subdivisions Args:

Return copy of feature

round down Timestamp series to a specified freq

Deserialize empty dataframe from dataframe description. Args: description (dict) : Description of dataframe. Returns: df (Da

Serialize entityset to data description. Args: entityset (EntitySet) : Instance of :class:`.EntitySet`. Returns: description

A generator which yields all descendent classes of the given class (including the given class) Args: cls (Class): the class to f

Find features which can be approximated. Returned as a trie where the values are sets of feature names. Args: feature_set (Featu

Helper function that returns all registered woodwork logical types