Open micmart opened 5 years ago
I have a df with 40k rows and 21 variables. I am following the Churn prediction tutorial. csf_fit() works fine and takes 45min to run. But when I then run concordance_index() my session crashes and I lose my csf object.
I was able to reproduce the issue by running the example code for Conditional Survival Forest (CSF) but by increasing the N and number of features to:
# Generating N random samples N = 10000 dataset = sim.generate_data(num_samples = N, num_features=6)
I used the environment which the following Dockerfile provides:
Dockerfile
FROM jupyter/scipy-notebook RUN conda update -n base conda RUN conda install pytorch-cpu torchvision-cpu -c pytorch RUN conda install matplotlib pandas scikit-learn pyarrow progressbar scipy boost RUN pip install --upgrade pip \ && pip install pysurvival
This issue seems to be related to #3 .
I have a df with 40k rows and 21 variables. I am following the Churn prediction tutorial. csf_fit() works fine and takes 45min to run. But when I then run concordance_index() my session crashes and I lose my csf object.
I was able to reproduce the issue by running the example code for Conditional Survival Forest (CSF) but by increasing the N and number of features to:
I used the environment which the following
Dockerfile
provides: