prediction.zip

聆墨 14 0 ZIP 2020-06-10 12:06:26

基于高分子材料的一些已知特性，通过大量的试验数据进行训练，从而预测新特征输入下对应的输出，主要用到线性回归，多项式回归，SVM回归，决策树回归，随机森林回归，BP回归等方法，对比回归效果

文件列表

prediction.zip (预估有个176文件)

poly_reverse.py 5KB

如何使用TensorBoard可视化工具_20190201205040.pdf 220KB

poly2_prediction 4KB

SVM_reverse.py 4KB

data_train.csv 33KB

data0.csv 563B

BP_prediction.py 2KB

linear_reverse.py 5KB

settings.json 80B

BP_reverse.py 3KB

data1.csv 36KB

linear_prediction1.py 2KB

linear_perdiction.py 5KB

data_test.csv 5KB

DT_RF_reverse.py 2KB

SVM_prediction.py 4KB

workspace.xml 36KB

House-price-forecast-master.iml 501B

misc.xml 192B

modules.xml 313B

Sample3.csv 33KB

DT_RF_prediction.py 3KB

events.out.tfevents.1582867810.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1581766999.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1583219233.DESKTOP-SMQ7RD8 30KB

events.out.tfevents.1573544582.DESKTOP-SMQ7RD8 18KB

events.out.tfevents.1574250260.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1574249515.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1574254453.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1574249814.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1580720621.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1582874246.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1574321589.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1574254329.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1583216668.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1573545865.DESKTOP-SMQ7RD8 18KB

events.out.tfevents.1573543067.DESKTOP-SMQ7RD8 18KB

events.out.tfevents.1573464500.DESKTOP-SMQ7RD8 18KB

events.out.tfevents.1574250085.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1574252432.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1573467992.DESKTOP-SMQ7RD8 18KB

events.out.tfevents.1574253639.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1583219328.DESKTOP-SMQ7RD8 30KB

events.out.tfevents.1580732546.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1582868566.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1580738344.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1582868902.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1580287428.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1574253764.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1573463261.DESKTOP-SMQ7RD8 18KB

events.out.tfevents.1574253515.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1580738903.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1573542983.DESKTOP-SMQ7RD8 18KB

events.out.tfevents.1583219419.DESKTOP-SMQ7RD8 30KB

events.out.tfevents.1573465358.DESKTOP-SMQ7RD8 18KB

events.out.tfevents.1580733012.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1574857214.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1574254568.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1574825167.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1574251401.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1573545768.DESKTOP-SMQ7RD8 18KB

events.out.tfevents.1582861537.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1582871706.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1580732570.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1574253856.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1573545685.DESKTOP-SMQ7RD8 18KB

events.out.tfevents.1582865833.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1573542245.DESKTOP-SMQ7RD8 18KB

events.out.tfevents.1583213408.DESKTOP-SMQ7RD8 30KB

events.out.tfevents.1582274061.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1582095952.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1583221691.DESKTOP-SMQ7RD8 30KB

events.out.tfevents.1582871750.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1574249896.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1583215397.DESKTOP-SMQ7RD8 30KB

events.out.tfevents.1574251336.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1574253307.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1583215343.DESKTOP-SMQ7RD8 30KB

events.out.tfevents.1580723418.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1580732962.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1580723147.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1573542749.DESKTOP-SMQ7RD8 18KB

events.out.tfevents.1573542223.DESKTOP-SMQ7RD8 18KB

events.out.tfevents.1583221669.DESKTOP-SMQ7RD8 30KB

events.out.tfevents.1580284785.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1582867686.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1573544781.DESKTOP-SMQ7RD8 18KB

events.out.tfevents.1574250179.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1582265819.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1573546181.DESKTOP-SMQ7RD8 18KB

events.out.tfevents.1574249591.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1573543367.DESKTOP-SMQ7RD8 18KB

events.out.tfevents.1582862533.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1573541437.DESKTOP-SMQ7RD8 18KB

events.out.tfevents.1574253003.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1582863699.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1582869021.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1574254413.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1582286511.DESKTOP-SMQ7RD8 30KB

events.out.tfevents.1573463600.DESKTOP-SMQ7RD8 18KB

events.out.tfevents.1574253162.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1573387349.DESKTOP-SMQ7RD8 18KB

events.out.tfevents.1582874149.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1574251481.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1580732889.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1583215309.DESKTOP-SMQ7RD8 30KB

events.out.tfevents.1574739205.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1573544290.DESKTOP-SMQ7RD8 18KB

events.out.tfevents.1581669983.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1580716708.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1583219168.DESKTOP-SMQ7RD8 30KB

events.out.tfevents.1583215599.DESKTOP-SMQ7RD8 30KB

events.out.tfevents.1573386371.DESKTOP-SMQ7RD8 18KB

events.out.tfevents.1573545419.DESKTOP-SMQ7RD8 18KB

events.out.tfevents.1580194217.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1582273733.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1574253395.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1574321619.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1573387813.DESKTOP-SMQ7RD8 18KB

events.out.tfevents.1573385968.DESKTOP-SMQ7RD8 18KB

events.out.tfevents.1573544423.DESKTOP-SMQ7RD8 18KB

events.out.tfevents.1573387703.DESKTOP-SMQ7RD8 18KB

events.out.tfevents.1581767382.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1574327256.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1573545042.DESKTOP-SMQ7RD8 18KB

events.out.tfevents.1580732630.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1573549043.DESKTOP-SMQ7RD8 18KB

events.out.tfevents.1582285751.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1574252363.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1573465431.DESKTOP-SMQ7RD8 18KB

events.out.tfevents.1574253335.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1573546232.DESKTOP-SMQ7RD8 18KB

events.out.tfevents.1573980991.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1580738858.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1582868975.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1574253201.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1574253423.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1574252212.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1582286344.DESKTOP-SMQ7RD8 30KB

events.out.tfevents.1574856969.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1583219148.DESKTOP-SMQ7RD8 30KB

events.out.tfevents.1582875667.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1580208743.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1574857492.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1580733505.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1573544976.DESKTOP-SMQ7RD8 18KB

events.out.tfevents.1574254163.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1580723222.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1582861857.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1582875514.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1573545712.DESKTOP-SMQ7RD8 18KB

events.out.tfevents.1582272920.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1583215099.DESKTOP-SMQ7RD8 30KB

events.out.tfevents.1573387375.DESKTOP-SMQ7RD8 18KB

events.out.tfevents.1580208664.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1583219113.DESKTOP-SMQ7RD8 30KB

events.out.tfevents.1574825278.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1580192886.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1573544671.DESKTOP-SMQ7RD8 18KB

events.out.tfevents.1574254211.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1580193760.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1573544722.DESKTOP-SMQ7RD8 18KB

events.out.tfevents.1573545983.DESKTOP-SMQ7RD8 18KB

events.out.tfevents.1581769662.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1573545605.DESKTOP-SMQ7RD8 18KB

events.out.tfevents.1581651547.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1582874088.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1573545106.DESKTOP-SMQ7RD8 18KB

events.out.tfevents.1582867469.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1574253980.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1580717547.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1580194270.DESKTOP-SMQ7RD8 21KB

events.out.tfevents.1573542811.DESKTOP-SMQ7RD8 18KB

events.out.tfevents.1573544897.DESKTOP-SMQ7RD8 18KB

events.out.tfevents.1573469808.DESKTOP-SMQ7RD8 18KB

events.out.tfevents.1574249791.DESKTOP-SMQ7RD8 21KB

用户评论

暂无评论

Amazon_Rating_Prediction源码

Amazon_Rating_Prediction 吴子彤,2020年11月描述创建一个二进制分类器,以根据评论预测亚马逊上的产品是否很棒。令人敬畏的阈值:如果预测评分> 4.4(满分5分)

6 2021-04-08
Cotton Plant Disease Prediction源码

棉花植株病害预测-深度学习问题识别由于主要的棉花疾病,棉花的产量在过去一年中逐渐减少,这严重影响了棉花的生产,从而影响了一些常见的疾病,例如虫害,木炭腐烂等。如果农民了解生长初期受感染和患病的植

18 2021-04-06
bike_count_prediction源码

bike_count_prediction 预测在首尔租用的自行车数量目的该项目的目的是预测在首尔租用的自行车数量。如果首尔公共租赁自行车系统背后的公司首尔自行车能够准确预测需求,那么它就能更好

8 2021-04-06
Prediction of Diabetes by Machine Learning源码

Prediction-of-Diabetes-by-Machine-Learning

8 2021-04-05
Multiple Granularity Group Interaction Prediction

Multiple Granularity Group Interaction Prediction

6 2021-02-23
Link prediction via significant influence

Link prediction via significant influence

12 2021-02-23
Surprise Prediction Algorithms预测方法

其中的所有函数啥的

10 2020-08-12
Flight_fare_prediction源码

Flight_fare_prediction

12 2021-02-17
Prediction Without Markets.pdf

Prediction Without Markets.pdf

24 2020-07-27
Chess Game Result Prediction源码

Chess-Game-Result-Prediction

9 2021-04-18

prediction.zip

文件列表

用户评论

推荐下载