Haoyin Xu

@adwaykanhere can you comment here?

And there seems to be no documentation for the "meds" section.

After a little tweaking, I did find this type of codes necessary for showing the formatted cells. But I will leave this issue open for considerations and hope to find...

**Unclever Workaround:** Before executing anything, use `%load_ext lab_black` to format all cells (run-all). Then delete the command, restart the kernel, and run everything as normal. This solution would only work...

From the observations, it seems that unsupervised oblique RF has much deeper trees when their speed is significantly slower than unsupervised RF.

> @PSSF23 what did you do about the MLKNN unit test? Nothing. Unrelated.

> The unit tests seem to fail. Yes. But it's not related to this PR. I made another issue #548 for that.

> > `black` formatting needed. Also the file name is quite long. You can make it shorter. > > Fixed Nope~

@nhahn7 I also save the test here in case the test file is changed in the future. ```python def test_update_task(self): np.random.seed(1) l2f = LifelongClassificationForest() X = np.concatenate((np.zeros(100), np.ones(100))).reshape(-1, 1) y...

@rflperry Zihan is a NDD student. Can she contact you for more information through NDD slack/email/... ?