A dataframe that references another dataframe via relationship. The “many” in a one-to-many relationship.
All of a Woodwork column’s type information including the logical type and any semantic tags.
The last point in time data is allowed to be used when calculating a feature
A collection of dataframes and the relationships between them. Represented by the EntitySet class.
A transformation of data used for machine learning. Featuretools has a custom language for defining features as described here. All features are represented by subclasses of FeatureBase.
The process of transforming data into representations that are better for machine learning.
Equivalent to a row in a relational database. Each dataframe has many instances, and each instance has a value for each column and feature defined on the dataframe.
Additional information about how a column should be interpreted or parsed beyond how the data is stored on disk or in memory. Used to determine which primitives can be applied to a column to generate features.
A dataframe that is referenced by another dataframe via relationship. The “one” in a one-to-many relationship.
A mapping between a parent dataframe and a child dataframe. The child dataframe must contain a column referencing the index column on the parent dataframe. Represented by the Relationship class.
Optional additional information on the column about the meaning or potential uses of data. Used to determine which primitives can be applied to a column to generate features.
The dataframe for which we will be making features