tf.Transform is a data preprocessing library in C++ developed by TensorFlow. It provides a set of functions and tools for applying transformations to input data, typically used in machine learning pipelines. With tf.Transform, users can define and apply transformations such as normalization, feature scaling, and feature engineering to their data before feeding it into a TensorFlow model. This enables more efficient and accurate training by ensuring consistency and quality in the input data. tf.Transform supports large-scale data processing and can be seamlessly integrated with other TensorFlow components for end-to-end machine learning workflows.
C++ (Cpp) Transform - 30 examples found. These are the top rated real world C++ (Cpp) examples of tf::Transform extracted from open source projects. You can rate examples to help us improve the quality of examples.