Write entityset to disk in the csv format, location specified by `path`. Path could be a local path or a S3 path. If writing to S3 a t

Adds new feature to the dict Args: new_feature (:class:`.FeatureBase`): New feature being checked. al

Generator which yields all forward paths between a start and goal dataframe. Does not include paths which contain cycles. Ar

Get dataframes that are in a forward relationship with dataframe Args: dataframe_name (str): Name of dataframe to search

Get a list of unused primitives based on a list of specified primitives and a list of output features

Returns number of features with names that match the provided regex pattern

Create a UML diagram-ish graph of the EntitySet. Args: to_file (str, optional) : Path to where the plot should be saved.

Base class for all features Args: entityset (EntitySet): entityset this feature is being calculated for dataframe (Da

Checks if the given string is an url path. Returns a boolean.

Add multiple new relationships to a entityset Args: relationships (list[tuple(str, str, str, str)] or list[Relationship]) : List

Generator which yields all backward paths between a start and goal dataframe. Does not include paths which contain cycles. A

Get a list of recommended primitives given an entity set. Description: This function works by first getting a list of valid primitives wi

Makes a entityset with the following shape: R Régions / \\ . S C Stores, Customers | . S

Write entityset to disk in the parquet format, location specified by `path`. Path could be a local path or a S3 path. If writing to S3

Write entityset in the pickle format, location specified by `path`. Path could be a local path or a S3 path. If writing to S3 a tar ar

Convert a list of LiteFeature objects into a list of FeatureBase objects Args: feature_list (List[LiteFeature]) dataframe (p

Deserialize entityset from data description. Args: description (dict) : Description of an :class:`.EntitySet`. Likely generated using :me

Get dataframes that are in a backward relationship with dataframe Args: dataframe_name (str): Name of dataframe to searc

Removes columns in feature matrix where all the values are the same. Args: feature_matrix (:class:`pd.DataFrame`): DataFrame whose column

Logical AND with other_feature

Creates inverse of feature

Logical OR with other_feature

chunks a grouped dataframe into groups no larger than chunk_size

Indexes input set to find types of columns and the quantity of each Args: column_set (List(ColumnSchema)): List of Colum

Get a set of non-numeric primitives for a given dataset and a list of primitives. Description: Given a single table entity set with a `ta

Clears the cache collections

get relationships where dataframe "dataframe_name" is the parent. Args: dataframe_name (str): Name of dataframe to get r

Given a list of features and entityset (and optionally a list of pass through columns and the cutoff time dataframe), returns the logical types,

Is the forward path from start to end unique? This will raise if there is no such path.

Attemps to import the requested library. Args: library (str): the name of the library Returns: the library if it is installed, e

load primitive objects in a file

Returns the retail entityset example. The original dataset can be found `here <https://archive.ics.uci.edu/ml/datasets/online+retail>`_. We h

Makes a set of equally spaced cutoff times prior to a set of input cutoffs and instance ids. If window_size and num_windows are provided, then nu

Replace all ``np.inf`` values in a feature matrix with the specified replacement value. Args: feature_matrix (DataFrame): DataFrame whose

Given a list of features, returns True if they are all DirectFeatures with the same relationship_path, and False if not

Creates trans_features for all the columns in a dataframe Args: all_features (dict[dataframe name: dict->[str->:class:`BaseFeatur