DeepTime采用了一种特定的函数形式,利用隐式神经表示和一个新颖的拼接傅里叶特征模块来高效地学习时间序列中的高频模式。与传统的时间序列预测方法不同,DeepTime可以处理长时间序列和多变量时间序列,并且可以自动提取特征。本文的实验结果表明,DeepTime在实际数据集上取得了竞争性的结果,并且比现有的基于深度学习的时间...
DeepTime is a deep time-index based model trained via a meta-optimization formulation, yielding a strong method for time-series forecasting. Experiments on real world datases in the long sequence time-series forecasting setting demonstrates that DeepTime achieves competitive results with state-of-the...
(实际上就是相对于常规的deep timeseries models 额外考虑了长短期模式,通过显式的设计特定的模型结构来让nn能够更容易学习到长短期的规律) 本文提出了一种用于多元时间序列预测的深度学习框架,即LSTNet (Long- and - short - term time -series Network),如图2所示。它利用了卷积层和循环层的优势,前者可以发现多...
一致性指数(C-index)的值域在0到1之间,其中:0.5 表示模型的预测性能与随机猜测一样好(即没有预测能力);1.0 表示模型的预测完全准确。在实际应用中,很难找到完全一致的预测模型,既往研究认为,C-index在0.50-0.70为较低准确度;在0.71-0.90之间为中等准确度;而高于0.90则为高准确度。survivalmodels包含了一致性分析...
Driven by DeepSeek's global rise, competition among large model developers remains intense. Public data shows 49 new large models launched in Q4 2024 and 55 more in Q1 2025, with some weeks witnessing eight releases.Alibaba DAMO Academy remains a major player, with 13 papers accepted at ICLR ...
Time Series Library (TSLib) TSLib is an open-source library for deep learning researchers, especially for deep time series analysis. We provide a neat code base to evaluate advanced deep time series models or develop your model, which covers five mainstream tasks:long- and short-term forecasting...
export MODEL_PATH=/home/ubuntu/.cache/huggingface/hub/models--deepseek-ai--DeepSeek-R1-Distill-Llama-8B/snapshots/ebf7e8d03db3d86a442d22d30d499abb7ec27bea/ cd vllm/ python3 -m vllm.entrypoints.openai.api_server \ --model $MODEL_PATH \ ...
Time series data have grown at an explosive rate in numerous domains and have stimulated a surge of time series modeling research. A comprehensive comparison of different time series models, for a considered data analytics task, provides useful guidance on model selection for data analytics practition...
从statmodels库中,两个基本函数在理解从x, y和z方向收集的加速度数据的特征方面起着关键作用。 adfuller函数是确定时间序列信号平稳性的有力工具。通过对我们的数据进行Augmented Dickey-Fuller检验,可以确定加速度信号是否表现出平稳的行为,这是许多时间序列分析技术的基本要求。这个测试帮助我们评估数据是否随时间而变化...
VC veteran Zhu Xiaohu notes that while enthusiasm around foundational models is cooling, AI application startups are booming with weekly growth rates nearing 10%. He urges startups to embrace open-source models and focus on real-world applications rather than wasting resources on model training. ...