Installation
About
Fits Cox model via stochastic gradient descent. This implementation avoids computational instability of the standard Cox Model when dealing large datasets. Furthermore, it scales up with large datasets that do not fit the memory. It also handles large sparse datasets using proximal stochastic gradient descent algorithm. For more details about the method, please see Aliasghar Tarkhan and Noah Simon (2020)
Bug report | File report |
Key Metrics
Downloads
Yesterday | 8 0% |
Last 7 days | 41 -29% |
Last 30 days | 187 +2% |
Last 90 days | 503 -36% |
Last 365 days | 2.420 -15% |