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MCALF v0.2.1
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@ConorMacBride ConorMacBride released this 17 May 16:10
· 89 commits to main since this release
v0.2.1
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ConorMacBride Conor MacBride
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Learn about vigilant mode.
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Learn about vigilant mode.

New features

  • Added random_state parameter to mcalf.models.IBIS8542Model, which is passed to the sklearn.neural_network.MLPClassifier during initialisation of the default mcalf.models.IBIS8542Model.neural_network attribute. This aids reproducibility. Default is random_state=None, so same default behaviour as previous versions of MCALF. (#33)

Documentation

  • Added example Working with IBIS data to Example Gallery, using a real IBIS spectral imaging dataset. A neural network training dataset based on this IBIS dataset is included to demonstrate the classifying capabilities. Pre-computed results for the example are also included. (#31,#32,#34)
  • Updated LabellingTutorial.ipynb example to run as-is with the real IBIS spectral imaging dataset. (#31,#32)
  • Added example Using IBIS8542Model to Example Gallery, using randomly generated data as sample data. (#27)
  • Added JOSS paper to /paper/, and updated .zenodo.json to match paper title. (#28,#30)
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