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Bumps [numpy](https://github.com/numpy/numpy) from 1.9.1 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...

dependencies

``` from apsis.models.parameter_definition import MinMaxNumericParamDef from apsis.assistants.lab_assistant import PrettyLabAssistant import numpy as np import matplotlib.pyplot as plt %matplotlib inline plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots plt.rcParams['image.interpolation']...

Hi everyone, As indicated in the title, anybody knows how to initialize each of the independent variables in their arbitrary possible range using _MinMaxNumericParamDef_ class? Thanks.

Hi everyone, Here I run into a problem when running an apsis optimization shown as below: --- ``` import math def f(x): return math.cos(x) + x/4 """ Initilization""" from apsis.models.parameter_definition...

Support

Also print out total runtime for the experiment. Also add names, # candidates etc to the overview page.

enhancement

It might be useful to be allowed to change parameter definitions in already existing experiments.

We're not checking anything about clients using the web interface, and do everything via http. This works for private pcs and networks, but we should still change it.

enhancement

I've been notified that it's currently only possible to start apsis from its own directory due to the html templates. That's not a good solution, and should be fixed.

bug

The paper is still for the old version. The new version should include at least: - [ ] New architecture diagrams - [ ] Comparison between parallel and sequential execution

documentation

The docs are partly still for the old version. This'll have to be changed.

documentation