allen-yun

Yes! I attached the two functions below: ``` def get_user_inputX(prompt): root = tk.Tk() root.withdraw() user_input = simpledialog.askfloat(title="Resulting x", prompt=prompt) root.destroy() return user_input def get_user_inputY(prompt): root = tk.Tk() root.withdraw() user_input =...

I believe I have the most up-to-date version and the issue is still happening. I can still run my trials fine but I don't know if this will affect optimization....

``` import tkinter as tk from tkinter import simpledialog from ax.service.ax_client import AxClient from ax.service.utils.instantiation import ObjectiveProperties from ax.models.torch.botorch_modular.surrogate import Surrogate from ax.modelbridge.generation_strategy import GenerationStep, GenerationStrategy from ax.modelbridge.registry import Models...

Thanks for getting back to me @Cesar-Cardoso! How would I inspect the value of X? In the above example I only fed it one trial with an X value of...

Okay, trying to complete a trial gave these additional messages. I will try to add in the print line as you mentioned @Cesar-Cardoso and see what might be going on:...

Update: I believe I'm starting with an empty dictionary here although I'm not sure why `defaultdict(, {})`

So all of the exception/warning messages go away if I start with two initial trials instead of one. Is this intended/needed when using `"surrogate": Surrogate(SingleTaskGP), "botorch_acqf_class": qLogNoisyExpectedHypervolumeImprovement` ? I'm wondering...

Also, is there a smarter way to limit my parameter search space to only be in increments of 0.5 or to just one decimal space? I've considered changing to choice...