Tjebo
2020-02-07 00:16
您的haven对象对于整洁操作有点挑战。请参阅下文，我建议使此对象更“干净”（删除标签，将值更改为字符类）。然后进行长时间绘制。
library(tidyverse)
names(veraenderung) <- c('vor','nach','sechs','welle') #remove labels in names
veraenderung <- as_tibble(veraenderung) %>% transmute_all(as.character) #change values to character class
veraenderung <- veraenderung %>% pivot_longer(cols = everything(), names_to = 'key', values_to = 'value')
ggplot(veraenderung, aes(key)) +
geom_bar(aes(fill = value), position = position_dodge(preserve = 'single'))
#try without preserve or position_dodge and see what happens
由reprex软件包（v0.3.0）创建于2020-02-06
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Mamba is a new state space model architecture showing promising performance on information-dense data such as language modeling, where previous subquadratic models fall short of Transformers. It is based on the line of progress on structured state space models, with an efficient hardware-aware design and implementation in the spirit of FlashAttention.
(翻译：Mamba 是一种新的状态空间模型架构，在信息密集型数据（例如语言建模）上显示出良好的性能，而之前的二次模型在 Transformers 方面存在不足。它基于结构化状态空间模型的进展，并本着FlashAttention的精神进行高效的硬件感知设计和实现。)
感谢您教我一些新知识！您的输入对我有很大帮助。我可以在您的提示上建立图表。