How to read a model trained in Python using C language?

To read a model trained in Python in the C language, you can follow these steps:

1. Save the model trained in Python to a file. This can be achieved using the pickle or joblib library in Python. For example, you can use pickle.dump() to save the model to a file.
2. Open the model file in C language by using file operation functions like fopen().
3. Read the data of the model one by one. Use file reading functions in C language, such as fread(), to read the data in the model file.
4. Analyze model data based on the structure and data type of the model. Utilize C language’s corresponding data structures and algorithms to parse model data, following the way models are saved in Python.
5. Utilize the retrieved model for prediction or other operations, and apply the parsed model data to corresponding algorithms or operations in the C language.

It is important to note that Python and C languages are different programming languages with distinct data structures and ways of handling files. Therefore, when reading a model, it is necessary to understand how Python saves the model and appropriately use C language to parse and manipulate it.