removing extra bracket

Author: manu-sj

docs/user_guides/fs/feature_view/transformation-function.md

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 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).