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Author Name: **Neil Voss** (@vosslab)
Original Redmine Issue: 6748, https://emg.nysbc.org/redmine/issues/6748
Original Date: 2019-02-15
Original Assignee: Sargis Dallakyan
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Based on Micah's…
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Hi @imoscovitz
I started patching for sklearn estimator compatibility (to leverage OneVsRestClassifier or VotingClassifier for instance) and I think it will require design changes.
According to…
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### Describe the workflow you want to enable
I often need to compute kNN accuracy on the entire dataset `(X, y)`, i.e. the accuracy when for every point we find its $k$ nearest neighbors and do the…
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Currently, `kfold()` computes pointwise log score (elpd_loo). For leave-one-group-out cross-validation, it would be useful to have an option to compute joint log score for each group. Instead of retur…
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In the following code:
```
from sklearn import datasets, linear_model
from sklearn.model_selection import cross_validate
from sklearn.metrics.scorer import make_scorer
from sklearn.metrics import…
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Enhance cross validation by using scikit-learn functions.
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Is there an option to play around with the size of the train and val sets. For example, use x% of the train set as val set, instead of predefining both train and val sets manually at the beginning?
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Hi,
I want to try to predict new phenotypes with Fast-LMM but the link to the notebook is dead.
I have the format similar to fast-lmm gwas :
`bed = Bed(str(bed_file), count_A1=False)`
`pheno …
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I am trying to train an Energy-Force model using a Schnet model using kgcnn_version 4.0.2, tensorflow 2.16.1 and keras 3.3.3. running the training/train_force.py script.
While the build of the mode…
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## 🚀 Feature
Cross-Validation is a crucial model validation techniques for assessing how the model generalizes on new data.
### Motivation
Research papers usually require cross-validation. Fro…