搜索资源列表
SnOW
- This package provides a Maximum Entropy Modeling toolkit written in C++ with Python binding. It includes: Conditional Maximum Entropy Model L-BFGS Parameter Estimation GIS Parameter Estimation Gaussian Prior Smoothing C++ API
libsvm-3.21
- svm的实现，提供python借口，可以使用python来调用api-svm
bayesian-belief-networks-master
- 方便进行贝叶斯网络的学习与推理,提供了多种方便好用的API(learning and reasoning based on Bayesian network)
optimizationmodels-master
- 运用Gurobi的c++\python 的API接口求解custock, locationtransport, multicommodity, warehouse 问题, 源至github.(Use Gurobi's c++\python interface of API to solve custock, locationtransport, multicommodity, warehouse problems)
API读取固有频率的方法
- 通过python脚本读取abaqus计算的固有频率(Reading the ABAQUS Computational Natural Frequency through a Python scr ipt)