yzhao062/pyod

Does input data not support sparse matrix ?

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#140 创建于 2019年11月5日

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 (2 评论) (0 反应) (1 负责人)Python (7,762 star) (1,308 fork)batch import
New Featurehelp wanted

描述

train_X is A sparse matrix call fit(train_X) raise TypeError('A sparse matrix was passed, but dense ' TypeError: A sparse matrix was passed, but dense data is required. Use X.toarray() to convert to a dense numpy array.

贡献者指南

技术栈
pythonnumpy
领域
datamachine learning
议题类型
bug
难度面向新贡献者的预计实现难度，1 表示很小改动，5 表示专家级工作。
3
预计时间有经验贡献者完成调查、实现、测试并准备 pull request 的粗略时间范围。
1-3 hours
活动状态议题当前的可参与程度：新鲜、活跃、陈旧、阻塞或等待维护者输入。
stale
清晰度议题是否清楚说明期望改动、验收标准和下一步。
clear
前置要求
pythonnumpyscipy sparse
新手友好度1-100 的估计分数，表示该议题对首次贡献者的友好程度。
30
研究方向
The issue asks for support of sparse matrices in the fit() method, which currently raises a TypeError requiring explicit conversion to dense. The resolution could involve automatically converting sparse inputs to dense via toarray() or adding native sparse support. The assignee may have started work; check for any related branches or comments. Review the base estimator class (e.g., pyod/models/base.py) to identify where the dense conversion is enforced and determine the best approach.