R先知是一个用于时间序列分析和预测的R语言包。add_regressor是R先知中的一个函数,用于向时间序列模型中添加额外的回归变量。它可以将其他相关因素考虑在内,以提高时间序列模型的准确性和预测能力。 使用add_regressor函数可以将其他相关因素作为回归变量添加到时间序列模型中。这些回归变量可以是与时间序列相关的外部因素...
我正在尝试(第一次)使用add_regressor函数向prophet添加一个外部变量,但我得到的结果看起来很疯狂。我正在使用的数据集可以在kaggle (著名的洗发水销售) here上免费获得。我正在尝试使用R的quantmod包作为我的外部变量,将免费可用的数据用于间谍股票指数。 下面是我如何开始代码的: library(prophet) library(quantmod) ...
Describe the solution you'd like Use CatBoost regressor with CQR. Describe alternatives you've considered Solution is not using MAPIE and create 2 additional models and follow same approach to calculate q, and then form the sets. Other is to modify code base and add CatBoost regressor support...
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Solved: ok so I have run a random forest regressor on my sample data, trying to predict field A based on fields Dealers &Orders . I need help on
# 需要导入模块: from fbprophet import Prophet [as 别名]# 或者: from fbprophet.Prophet importadd_regressor[as 别名]deftest_added_regressors(self):m = Prophet() m.add_regressor('binary_feature', prior_scale=0.2) m.add_regressor('numeric_feature', prior_scale=0.5) ...
今天遇到了一个百思不得解的问题，记录一下，欢迎交流讨论。为了简化问题，我把数据删除到两行，并把...
fastText 既可以用于文本分类，又能用于学习词汇向量表征。在文本分类的准确率上，fastText与一些常用的深度...
Triggered via pull request November 13, 2024 10:41 OmarManzoor labeled #30241 Status Skipped Total duration 3s Artifacts – cuda-label-remover.yml on: pull_request_target Remove "CUDA CI" Label 0s Oh hello! Nice to see you. Made with ️ by humans.txt ...
zero_inflated_regressor.py: As explained in my comment, I approached this issue in the following way I added a flag 'handle_error', which can take two values: 'error' and 'ignore'. If the user chooses 'error', then, in the case that the train set output only consists of zeros, a...