Glossary¶
- child dataframe¶
A dataframe that references another dataframe via relationship. The “many” in a one-to-many relationship.
- ColumnSchema¶
All of a Woodwork column’s type information including the logical type and any semantic tags.
- cutoff time¶
The last point in time data is allowed to be used when calculating a feature
- EntitySet¶
A collection of dataframes and the relationships between them. Represented by the
EntitySetclass.- feature¶
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.- feature engineering¶
The process of transforming data into representations that are better for machine learning.
- instance¶
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.
- logical type¶
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.
- parent dataframe¶
A dataframe that is referenced by another dataframe via relationship. The “one” in a one-to-many relationship.
- 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
Relationshipclass.- semantic tag¶
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.
- target dataframe¶
The dataframe for which we will be making features