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benwandrew committed Apr 7, 2023
2 parents ed6cc30 + 30b3637 commit 3792d09
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4 changes: 1 addition & 3 deletions .idea/autora.iml

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3 changes: 1 addition & 2 deletions README.md
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Expand Up @@ -398,8 +398,7 @@ The release process is automated using GitHub Actions.
- Before you start, ensure that the tokens are up-to-date. If in doubt, try to create and publish a new release
candidate version of the package first. The tokens are stored as "organization secrets" enabled for the autora
repository, and are called:
- PYPI_TOKEN: a token from pypi.org with upload permissions on the AutoResearch/AutoRA project. Current token
expires on 2023-03-01.
- PYPI_TOKEN: a token from pypi.org with upload permissions on the AutoResearch/AutoRA project.
- ANACONDA_TOKEN: a token from anaconda.org with the following scopes on the AutoResearch organization: `repos conda
api:read api:write`. Current token expires on 2023-03-01.
- Update [conda recipe](./conda/autora/meta.yaml):
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" # Examples of using cycle results plotting functions"
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"# Uncomment the following line when running on Google Colab\n",
"# !pip install autora"
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"cycle.run(5)"
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"* Default panel configuration is 4 plots to a row."
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"plot_results_panel_2d(cycle); # Add semicolon to supress creating two figures in jupyter notebook"
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"### Default parameters can be changed by passing in keywords"
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" );"
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" * Below shows ways to specify the parameters of the [scatter](https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.scatter.html) points and theory [line](https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.plot.html)."
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" );"
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"Saving the figure to an object (above) will allow you to cycle through the axes to make panel-specific edits."
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"fig\n"
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"2. **Slice**: Constructed with `slice()` or `np.s_[]`"
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"fig.suptitle('Last Cycle')"
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"fig.supxlabel('x1', y=0.1)"
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"fig2.suptitle('Last 2 Cycles')"
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"The 3D plotter has similar functionality as the 2D plotter but will only work with problem spaces where there are exactly 2 independent variable values. Only one dependent value can be plotted at a time."
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"cycle_mlr.run(5)"
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"fig = plot_results_panel_3d(cycle_mlr); # Add semicolon to supress creating two figures in jupyter notebook"
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" );"
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" );\n"
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"</div>\n"
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},
"nbformat": 4,
"nbformat_minor": 0
}
}
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