unity的模型，做unity游戏的时候可以导入，有多种森林的模型， 还有动画，光影，导入的很快，可以下载试一试，还有石头木头，做环境不错
2022-01-14 00:36:05
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本文首先对决策树算法的原理进行分析并指出其存在的问题，进而介绍随机森林算法。同单机环境下的随机森林构造不同的是，分布式环境下的决策树构建如果不进行优化的话，会带来大量的网络IO操作，算法效率将非常低，为此本文给出了随机森林在分布式环境下的具体优化策略，然后对其源码进行分析，最后通过案例介绍随机森林在金融领域内如何进行优质客户的分类。Spark内存计算框架在大数据处理领域内占有举足轻重的地位，2014年Spark风靡IT界，Twitter数据显示Spark已经超越Hadoop、Yarn等技术，成为大数据处理领域中最热门的技术，如图1所示。2015年6月17日，IBM宣布它的“百万数据工程师计划”
2022-01-11 17:55:53
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结合随机森林和LSBoost进行证券市场指数预测。
Abstract— This research work emphases on the prediction of future stock market index values based on historical data. The experimental evaluation is based on historical data of 10 years of two indices, namely, CNX Nifty and S&P Bombay Stock Exchange (BSE) Sensex from Indian stock markets. The predictions are made for 1–10, 15, 30, and 40 days in advance. This work proposes to combine the predictions/estimates of the ensemble of trees in a Random Forest using LSboost (i.e. LS-RF). The prediction performance of the proposed model is compared with that of well-known Support Vector Regression. Technical indicators are selected as inputs to each of the prediction models. The closing value of the stock price is the predicted variable. Results show that the proposed scheme outperforms Support Vector Regression and can be applied successfully for building predictive models for stock prices prediction.
2022-01-09 19:27:53
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此代码详细描述如何通过机器学习的算法（随机森林）对一张图片进行去噪处理，可广泛应用于文字识别的预处理。代码的详细解读参见博文：https://blog.csdn.net/zyctimes/article/details/122350139
2022-01-06 22:05:10
42.13MB
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