A Python package following the scikit-learn API for model-based clustering and generalized mixture modeling (latent class/profile analysis) of continuous and categorical data. StepMix handles missing values through Full Information Maximum Likelihood (FIML) and provides multiple stepwise Expectation-Maximization (EM) estimation methods.
When running the simulations in scripts with a fresh install, this happens
Traceback (most recent call last):
File "run_bakk_simulation.py", line 170, in <module>
main(n_simulations=args.n_simulations, latex=args.latex, covariate=args.covariate)
File "run_bakk_simulation.py", line 141, in main
print(df.to_latex(multirow=True, multicolumn=True))
File "/home/sacha/Documents/temp/stepmix/venv/lib/python3.8/site-packages/pandas/core/generic.py", line 3459, in to_latex
return self._to_latex_via_styler(
File "/home/sacha/Documents/temp/stepmix/venv/lib/python3.8/site-packages/pandas/core/generic.py", line 3515, in _to_latex_via_styler
from pandas.io.formats.style import Styler
File "/home/sacha/Documents/temp/stepmix/venv/lib/python3.8/site-packages/pandas/io/formats/style.py", line 56, in <module>
jinja2 = import_optional_dependency("jinja2", extra="DataFrame.style requires jinja2.")
File "/home/sacha/Documents/temp/stepmix/venv/lib/python3.8/site-packages/pandas/compat/_optional.py", line 145, in import_optional_dependency
raise ImportError(msg)
ImportError: Missing optional dependency 'Jinja2'. DataFrame.style requires jinja2. Use pip or conda to install Jinja2.
I suggest we simply remove the latex flag from the README commands and state in argparse help to install Jinja2 if they want the (optional) latex output.
When running the simulations in
scriptswith a fresh install, this happensI suggest we simply remove the latex flag from the README commands and state in argparse help to install Jinja2 if they want the (optional) latex output.