fpca.py

这是几个python实例，用于加强理解python语言

machine learning方面的regression，语言是python.比较基础的资料(machine learning aspects of the syllabus, language is the python. basis of comparison data)

说明：  实现了对具有明显颜色特征物体的跟踪和抓取功能，(It realizes the function of tracking and grabbing objects with obvious color features.)

python机器学习预测分析核心算法的例程(Python machine learning prediction and analysis of core algorithm routines)

说明：  均匀化理论的结果读取文件，可以直接读取刚度矩阵(The result of homogenization theory reads the file, and the stiffness matrix can be read directly.)

说明：  对三角网格进行驱动形变，使用Deformation transfer of Triangular Mesh算法(Driving Deformation of Triangular Mesh)

说明：  利用 百度aip 实现 语音识别的相关函数。(Relevant Function of Speech Recognition Using Baidu AIP)

网格搜索法寻找最优的惩罚因子，SVM,经测试可以用(SVM find C gamma)

python编写的网格搜索法，用于SVM的参数寻优(Grid search method to use SVM parameter optimization process to achieve through Python)

读取地震数据并进行SVM训练分类，针对特殊数据进行训练。输入：坐标，输出：标签(Read seismic data and conduct SVM training classification, training for special data. Input: coordinate, output: Label)