测试代码文件

用来爬取天天基金中的股票型基金净值信息代码(Used to crawl the net value information code of stock funds in Tiantian Fund)

用到的数据是2015微博用户画像比赛提供的数据，数据包含在文件中。这份代码能够实现完整的提取特征到训练模型，从而的出预测结果的功能。用到了sklearn及panda包。(The data used is provided by the user portrait competition of microblog in 2015. This code can complete the function of extracting features to the training model, thus producing the prediction results. Sklearn and panda packages are used.)

#感谢弥敦Seidle和他的素描的示例代码在SparkFun！没有它我会失去。

说明：  VGG16分类网络,可以用于分类问题，采用了迁移学习(VGG16 classification net)

将txt文本内的所有字符（UTF-8编码）提取出来并去重，并保存提取结果。(All characters in the TXT text (UTF-8 encoding) are extracted and duplicated, and the extraction results are saved.)

说明：  隐马尔科夫模型是关于时序的概率模型，描述由一个隐藏的马尔科夫链随机生成不可观测的状态随机序列，再由各个状态生成一个观测而产生观测序列的过程。隐藏的马尔科夫链随机生成的状态的序列，称为状态序列；每个状态生成一个观测，而由此产生的观测的随机序列，称为观测序列。马尔科夫链由初始概率分布、状态转移概率分布以及观测概率分布确定(The hidden Markov model is a probabilistic model for time series. It describes the process of randomly generating unobservable state random sequences from a hidden Markov chain, and then generating an observation by each state to produce an observation sequence. A sequence of randomly generated states of hidden Markov chains, called a sequence of states; each state produces an observation, and the resulting random sequence of observations is called an observation sequence. Markov chain is determined by initial probability distribution, state transition probability distribution and observation probability distribution)

覆盖了基本常用的机器学习算法。包括线性回归与分类算法；决策树；多种降维算法；优化算法；强化学习等多类算法的Python代码。(It covers the commonly used machine learning algorithms. Including linear regression and classification algorithm; decision tree; a variety of dimensionality reduction algorithm; optimization algorithm; reinforcement learning and other algorithms of Python code.)

python core test files

说明：  基于python的多项式曲线拟合，本程序以1 3 5 9次为例子。(Based on the polynomial curve fitting of python, this program takes 1 3 5 9 times as an example.)

说明：  粒子算法，轨迹规划参考，适用于无人驾驶，紧急避障等(Particle algorithm, trajectory planning reference, suitable for unmanned driving, emergency obstacle avoidance, etc)