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I'm upgrading pycaret so support scikit-learn 1.4, however some problems affect tests. I don´t know if its a matplolib bug or not: traceback:
c:\Users\celes\pycaret\tests\test_regression_plots.py::test_plot failed: @pytest.mark.plotting def test_plot(): # loading dataset data = pycaret.datasets.get_data("boston") assert isinstance(data, pd.DataFrame) # init setup pycaret.regression.setup( data, target="medv", log_experiment=True, log_plots=True, html=False, session_id=123, fold=2, n_jobs=1, ) model = pycaret.regression.create_model("rf", max_depth=2, n_estimators=5) exp = pycaret.regression.RegressionExperiment() available_plots = exp._available_plots for plot in available_plots: > pycaret.regression.plot_model(model, plot=plot) C:\Users\celes\pycaret\tests\test_regression_plots.py:32: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ c:\Users\celes\pycaret\pycaret\utils\generic.py:964: in wrapper return func(*args, **kwargs) C:\Users\celes\pycaret\pycaret\regression\functional.py:1646: in plot_model return _CURRENT_EXPERIMENT.plot_model( c:\Users\celes\pycaret\pycaret\regression\oop.py:1946: in plot_model return super().plot_model( c:\Users\celes\pycaret\pycaret\internal\pycaret_experiment\tabular_experiment.py:2045: in plot_model return self._plot_model( c:\Users\celes\pycaret\pycaret\internal\pycaret_experiment\tabular_experiment.py:1913: in _plot_model ret = locals()[plot]() c:\Users\celes\pycaret\pycaret\internal\pycaret_experiment\tabular_experiment.py:1122: in residuals return show_yellowbrick_plot( C:\Users\celes\pycaret\pycaret\internal\plots\yellowbrick.py:115: in show_yellowbrick_plot visualizer.show(clear_figure=True) c:\Users\celes\pycaret\.venv\lib\site-packages\yellowbrick\base.py:249: in show self.fig.clear() c:\Users\celes\pycaret\.venv\lib\site-packages\matplotlib\figure.py:3127: in clear super().clear(keep_observers=keep_observers) c:\Users\celes\pycaret\.venv\lib\site-packages\matplotlib\figure.py:996: in clear self.delaxes(ax) # Remove ax from self._axstack. c:\Users\celes\pycaret\.venv\lib\site-packages\matplotlib\figure.py:939: in delaxes self._remove_axes(ax, owners=[self._axstack, self._localaxes]) c:\Users\celes\pycaret\.venv\lib\site-packages\matplotlib\figure.py:956: in _remove_axes self._axobservers.process("_axes_change_event", self) c:\Users\celes\pycaret\.venv\lib\site-packages\matplotlib\cbook.py:303: in process self.exception_handler(exc) c:\Users\celes\pycaret\.venv\lib\site-packages\matplotlib\cbook.py:87: in _exception_printer raise exc c:\Users\celes\pycaret\.venv\lib\site-packages\matplotlib\cbook.py:298: in process func(*args, **kwargs) c:\Users\celes\pycaret\.venv\lib\site-packages\matplotlib\figure.py:3232: in <lambda> self._axobservers.connect("_axes_change_event", lambda arg: func(arg)) c:\Users\celes\pycaret\.venv\lib\site-packages\matplotlib\backend_bases.py:2676: in notify_axes_change self.toolbar.update() c:\Users\celes\pycaret\.venv\lib\site-packages\matplotlib\backend_bases.py:3210: in update self.set_history_buttons() c:\Users\celes\pycaret\.venv\lib\site-packages\matplotlib\backends\_backend_tk.py:897: in set_history_buttons self._buttons['Back']['state'] = state_map[can_back] c:\Users\celes\anaconda3\lib\tkinter\__init__.py:1686: in __setitem__ self.configure({key: value}) c:\Users\celes\anaconda3\lib\tkinter\__init__.py:1675: in configure return self._configure('configure', cnf, kw) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <tkinter.Button object .!navigationtoolbar2tk.!button2> cmd = 'configure', cnf = {'state': 'disabled'}, kw = {} def _configure(self, cmd, cnf, kw): """Internal function.""" if kw: cnf = _cnfmerge((cnf, kw)) elif cnf: cnf = _cnfmerge(cnf) if cnf is None: return self._getconfigure(_flatten((self._w, cmd))) if isinstance(cnf, str): return self._getconfigure1(_flatten((self._w, cmd, '-'+cnf))) > self.tk.call(_flatten((self._w, cmd)) + self._options(cnf)) E _tkinter.TclError: invalid command name ".!navigationtoolbar2tk.!button2" c:\Users\celes\anaconda3\lib\tkinter\__init__.py:1665: TclError
investigate why show this error
The text was updated successfully, but these errors were encountered:
Please isolate as a Matplotlib error using numpy. We are unlikely to debug pycaret testing suite Also please format bug reports if possible. https://docs.github.com/en/get-started/writing-on-github/getting-started-with-writing-and-formatting-on-github/basic-writing-and-formatting-syntax
I'm going to close this as unlikely an issue on our end. However if you have a reproducible error, please feel free to ask us to reopen.
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Summary
I'm upgrading pycaret so support scikit-learn 1.4, however some problems affect tests. I don´t know if its a matplolib bug or not:
traceback:
Proposed fix
investigate why show this error
The text was updated successfully, but these errors were encountered: