How to obtain the following parameters of a model saved in pkl format through the scikit-learn library: 1. The number of parameters. 2. The computational complexity of the model. (Note: The model is a multi-algorithm ensemble model, so it is not easy to calculate.)

[melodyL1]

How to obtain the following parameters of a model saved in pkl format through the scikit-learn library: 1. The number of parameters. 2. The computational complexity of the model. (Note: The model is a multi-algorithm ensemble model, so it is not easy to calculate.)

[glemaitre]

You need to load the pickle and if this is a scikit-learn model then you can inspect the model using the fitted attribute to find this information. There is no information on the computational complexity of the model and there is no way you can know anything about the model if you don't load it.