Skip to content

Commit

Permalink
removing extra bracket
Browse files Browse the repository at this point in the history
  • Loading branch information
manu-sj committed Jun 13, 2024
1 parent 65a3673 commit b332443
Showing 1 changed file with 1 addition and 1 deletion.
Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,7 @@

Hopsworks provides functionality to attach transformation functions to [feature views](./overview.md).

These transformation functions are primarily [model-dependent transformations](https://www.hopsworks.ai/dictionary/model-dependent-transformations). Model-dependent transformations generate feature data tailored to a specific model, often requiring the computation of training dataset statistics. Hopsworks enables you to define custom model-dependent transformation functions that can take multiple features and their associated statistics as input and produce multiple transformed features as output. Hopsworks also automatically executes the defined transformation function as a [`@pandas_udf`]((https://spark.apache.org/docs/3.1.2/api/python/reference/api/pyspark.sql.functions.pandas_udf.html)) in a PySpark application and as Pandas functions in Python clients.
These transformation functions are primarily [model-dependent transformations](https://www.hopsworks.ai/dictionary/model-dependent-transformations). Model-dependent transformations generate feature data tailored to a specific model, often requiring the computation of training dataset statistics. Hopsworks enables you to define custom model-dependent transformation functions that can take multiple features and their associated statistics as input and produce multiple transformed features as output. Hopsworks also automatically executes the defined transformation function as a [`@pandas_udf`](https://spark.apache.org/docs/3.1.2/api/python/reference/api/pyspark.sql.functions.pandas_udf.html) in a PySpark application and as Pandas functions in Python clients.

Custom transformation functions created in Hopsworks can be directly attached to feature views or stored in the feature store for later retrieval and attachment. These custom functions can be part of a library [installed](../../../user_guides/projects/python/python_install.md) in Hopsworks or added when starting a [Jupyter notebook](../../../user_guides/projects/jupyter/python_notebook.md) or [Hopsworks job](../../../user_guides/projects/jobs/spark_job.md).

Expand Down

0 comments on commit b332443

Please sign in to comment.