/Users/travis/build/ray-project/ray/python/ray/node.py:533: DeprecationWarning: Redis.hmset() is deprecated. Use Redis.hset() instead.
    redis_client.hmset("webui", {"url": self._webui_url})
  /Users/travis/build/ray-project/ray/python/ray/worker.py:358: DeprecationWarning: Redis.hmset() is deprecated. Use Redis.hset() instead.
    "run_on_other_drivers": str(run_on_other_drivers),
  

Hi,
I'm new to tpot but I got this error. I understand that score function can take strings, but I got the following error when using TPOTClassifier.

---

ValueError Traceback (most recent call last)
in
----> 1 tpot.score(X_test, y_test)

~/miniconda3/envs/ml

On this page at ClassificationReport

For binary classifier, the part “not to label an instance positive that is actually negative” sounded like “to correctly classif

There might be some small issues associated with bounds being copied internally when calling results and things like weight or stopping functions. I should change the internals slightly to avoid this happening when the results are never passed back to the user.

This issue documents the way to use this package for Nested Cross-Validation. If you have any question, welcome to comment below.

Flat cross-validation vs. nested cross-validation

To clarify the meaning of these two terms in this specific issue, let me first describe them.

Flat cross-validation

Let us use 5-Fold as an example. In a 5-Fold flat cross-validation, you split the dataset

In the tutorial, one of the URLs is pointing to the wrong location:

I Scholtes, N Wider, R Pfitzner, A Garas, CJ Tessone, F Schweitzer: Causality-driven slow-down and speed-up of diffusion in non-Markovian temporal networks, Nature Communications, 5, September 2014

Hi in:
https://sl3.tlverse.org/reference/sl3_task

the valid values for outcome_type, is not documented. After searching on internet, it seems there is no information in any webpage indexed by google. It might be necessary to add which values are acceptable, i.e. "continuous", "binomial", etc....

A clear and concise description of what you would like to see added to BAS.
I think the bestmodel argument is not clearly explained if one wants to modify it, would it be possible to include an example of using it with something other than the default?

I understand it as being able to specify which model should come first but it's not clear how and I haven't been able to determine that.