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**What are you trying to do?**
I am trying to find the Optimal Max Sharpe Portfolio by using **"max_sharpe"** method. For diversification purposes I would like to include **L2 Regularisation**.
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Hello Jenyu,
I am doing my Master's project on histology image registration using TransMorph. Since I am working in histology, i need to ensure that the local morphology of the samples is respected…
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The predictions of a linear model are invariant to the scale of its weights. Thus the scale of weights are determined by regularisation (and, I think, the bias term if unregularised). Are weights ther…
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Hello,
I installed tomotok with pip in order to use the fisher regularisation method.
However the tutorial on the github on the mfr inversion doesn't seem to work.
In the solver, it asks for tupl…
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for PathFlow 2.0:
- better rotation detection
- better shape matching on the mixmatch side
- predict the model specification and hyperparameters to use based on the properties of the dataset
Thi…
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From Michel Allard
Je fais des tests pour voir l'effet des paramètres de régularisation. Je ne vois pas comment faire pour ne pas avoir de reference model (NONE) comme le suggère le document d'aid…
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how can i add a regulariser to prevent overfit
is there a way to set the regularisation parameter in the model
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Is there a guide, or any additional information, on fine-tuning Espaloma? (i.e. taking the general model, and then supplementing with some molecule-specific electronic structure calculations, retraini…
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A lot of what Flux can do is not explicitly written down. Regularisation is a good example; just grabbing your parameters and summing them is really simple and intuitive, but if you're used to framewo…
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I think it would be better to separate the optimisation from the actual learned model (the regressors).
Reason: What's not so nice right now is that we store the `SupervisedDescentOptimiser` to the …