iLearnPlus支持二分类和多分类任务,并整合了14种常用的机器学习算法和7种深度学习算法(表4)。为了使模型的训练更加方便,iLearnPlus既支持参数自动优化,同时也允许用户指定参数的设置。iLearnPlus可以对这些参数采用网格搜索的算法进行优化。除此之外,iLearnPlus还能够对多种模型进行整合。 性能评价 为了对模型的性能进...
3.暴力复制粘贴 4.编程搞成iLearn需要的格式 5iLearnPlus选择一个特征进行计算 6.整理好一份表
3.暴力复制粘贴 4.编程搞成iLearn需要的格式 5iLearnPlus选择一个特征进行计算 6.整理好一份表
learn+介词,如learn，from(向什么学习)、learn，about(了解,学习)、learn，of(听说,获悉)、learn，by，oneself(自学)等。
iLearnPlus到底应该怎么运行啊？anaconda PyTorch iLearnPlus 都安装好了，为什么一运行就报错啊！！
iLearnPlus is the first machine-learning platform with both graphical- and web-based user interface that enables the construction of automated machine-learning pipelines for computational analysis and predictions using nucleic acid and protein sequences.
我们介绍了 iLearnPlus,这是第一个具有基于图形和 Web 的界面的机器学习平台,用于构建使用核酸和蛋白质序列进行分析和预测的机器学习管道。iLearnPlus 提供一套全面的算法,并自动执行基于序列的特征提取和分析、模型的构建和部署、预测性能评估、统计分析和数据可视化;无需编程。iLearnPlus 包括广泛的特征集,这些特征...
iLearnPlus is the first machine-learning platform with both graphical- and web-based user interface that enables the construction of automated machine-learning pipelines for computational analysis and predictions using nucleic acid and protein sequences.
We introduce iLearnPlus, the first machine-learning platform with graphical- and web-based interfaces for the construction of machine-learning pipelines for analysis and predictions using nucleic acid and protein sequences. iLearnPlus provides a comprehensive set of algorithms and automates sequence-...
While we use iLearnPlus in the context of the PTM prediction, we emphasize that this platform can be used to design predictive systems for a broad spectrum of other related problems that cover prediction of structural and functional characteristics of proteins and nucleic acids from their sequence...