Args: features (list[Feature]): Features of the target dataframe. approximate_feature_trie (Trie[RelationshipPath, se

Args: feature_set (FeatureSet): The features to calculate values for. time_last (pd.Timestamp, optional): Last allow

Args: value (float, str, dict) : Value of timedelta, string providing both unit and value, or a dictionary of uni

Creates EntitySet Args: id (str) : Unique identifier to associate with this instance dataframes (dict[str -> tuple(Da

Create a relationship Args: entityset (:class:`.EntitySet`): EntitySet to which the relationship belongs parent_dataf

Iterate over all values in the trie. Yields tuples of (path, value). Implemented using depth first search.

Compares if less than or equal to other

Compares if less than other

Take modulus of other

Compares to other by non-equality

Negate the timedelta

Add the Timedelta to a timestamp value

Subtract the Timedelta from a timestamp value

Subtract other

Returns the length of elem, or pd.NA given null input

Returns the number of words in given element, or pd.NA given null input

Column in child dataframe

Child dataframe object

The name of the child, relative to the parent.

Return copy of feature