Model-insight is a Python third-party library that loads commonly used mathematical modeling data sets and performs modeling processing (such as evaluation problems, simulation problems, etc.). At the same time, we can also learn the related knowledge of mathematical modeling.
Use pip
>>>pip install model-insight==0.4.2
>>>from model_insight.load_datasets import load_#
Several datasets are availiable:
Model-Insight provides some functions to preprocess data, give weights, and do comprehensive evaluation. For example,
>>>from model_insight.mcdm_functions import ahp
>>>judgement_matrix = np.array([[1,2,3],[1/2,1,4],[1/3,1/4,1]])
>>>ahp_weights = ahp(judgement_matrix)
>>>ahp_weights
>>>The Max Eigenvalue is (3.1078473338549757+0j)
array([0.51713362+0.j, 0.35856042+0.j, 0.12430596+0.j])
If you are interested in this project, you can contact me via learningmm@163.com.
FAQs
A package for learning and teaching mathematical modeling
We found that model-insight demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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