feat(nn): add SingleLayerPerceptron models - #309
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Adds SingleLayerPerceptronClassifier and SingleLayerPerceptronRegressor which are essentially MLPs with zero hidden layers. Tests are included. Resolves pyfenn#220
ApusBerliozi
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enhancement
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Hi @ChickenisLegit, thank you for your work! However, this issue was already assigned to another contributor, so your PR will not be accepted unless the designed contributor decide to quit. Sorry for the inconvenience. |
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Btw @ChickenisLegit it was a very good work, thank you for very much for it! If you want you can leave this PR opened, you are the second in the priority order. |
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This PR adds the
SingleLayerPerceptronClassifierandSingleLayerPerceptronRegressoras requested in #220.These models subclass
MLPClassifierandMLPRegressorbut restrict the network to have zero hidden layers. TheBaseMLPvalidation logic was updated to support empty hidden layer sizes.Unit tests have been provided for both classes.
Fixes #220.