👉 The prepare fluid, often referred to as the pre-fluid or pre-processing fluid in certain contexts, is a critical component in advanced data processing and machine learning workflows. It is an intermediate state of data that undergoes specific transformations or feature engineering before being fed into a model for training or inference. This fluid typically involves operations such as normalization, encoding categorical variables, handling missing values, and augmenting data to enhance model robustness and performance. The goal is to optimize the input data for the model, ensuring that it captures meaningful patterns and relationships, thereby improving the overall accuracy and efficiency of the machine learning process.
