shiluqiang / GBDT_regressionLinks
GBDT for regression
☆10Updated 6 years ago
Alternatives and similar repositories for GBDT_regression
Users that are interested in GBDT_regression are comparing it to the libraries listed below
Sorting:
- 基于Keras的LSTM多变量时间序列预测☆25Updated 7 years ago
- 利用时间序列预测汽车销量☆42Updated 6 years ago
- Time Series Prediction, Stateful LSTM; 时间序列预测,洗发水销量/股票走 势预测,有状态循环神经网络☆58Updated 8 years ago
- 一种有效的电力负荷预测方法☆64Updated 5 years ago
- EEMD、LSTM、time series prediction、DO、Deep Learning☆88Updated 3 years ago
- 使用支持向量机、弹性网络、随机森林、LSTM、SARIMA等多种算法进行时间序列的回归预测,除此以外还采取了多种组合方法对以上算法输出的结果进行组合预测。Support vector machine, elastic network, random forest, LSTM…☆46Updated 5 years ago
- ☆31Updated 6 years ago
- Regression prediction of time series data using LSTM, SVM and random forest. 使用LSTM、SVM、随机森林对时间序列数据进行回归预测,注释拉满。☆193Updated 5 years ago
- 多元多步时间序列的LSTM模型预测——基于Keras☆82Updated 3 years ago
- 基于深度学习的溶解氧时间序列预测模型☆29Updated 5 years ago
- 客流量时间序列预测模型☆126Updated 3 years ago
- Attempt to use XGBoost in stock price prediction☆89Updated 5 years ago
- Bayesian Optimization and Grid Search for xgboost/lightgbm☆77Updated 6 months ago
- Forex Time-Series Prediction Using TCN☆46Updated 5 years ago
- 基于遗传算法的特征选择☆128Updated 5 years ago
- 时间序列ARIMA模型的销量预测☆62Updated 7 years ago
- 基于LSTM的电力负荷预测☆158Updated 6 years ago
- 刀具剩余寿命预测☆72Updated 5 years ago
- 基于Keras的LSTM多变量时间序列预测☆179Updated 7 years ago
- 机器学习集成模型之Stacking各类模型及工具源码☆118Updated 4 years ago
- 数据预处理之缺失值处理,特征选择☆22Updated 6 years ago
- ☆27Updated 3 years ago
- the extension of https://github.com/philipperemy/keras-attention-mechanism , create a new scipt to add attetion to input dimensions rath…☆78Updated last year
- 2019科大讯飞工程机械赛题-亚军☆39Updated 5 years ago
- 不同时间序列预测方法对上海旅游规模进行预测☆17Updated 6 years ago
- GA,PSO,LSTM...☆25Updated 7 years ago
- my blog https://blog.csdn.net/qq_35649669/article/details/105586099☆47Updated 5 years ago
- 建立SARIMA-LSTM混合模型预测时间序列问题。以PM2.5值为例,使用UCI公开的自2013年1月17日至2015年12月31日五大城市PM2.5小时检测数据,将数据按时间段划分,使用SARIMA过滤其线性趋势,再对过滤后的残差使用LSTM进行预测,最后对预测结果进行…☆82Updated 6 years ago
- Using K-NN, SVM, Bayes, LSTM, and multi-variable LSTM models on time series forecasting☆51Updated 6 years ago
- 系统性风险指标计算☆10Updated 5 years ago