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I have some questions about the causal analysis class in econML.
1. Does anyone know how to overcome this issue when I fit the model with the training data. I don't know where I can increase the n…
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What do you guys think about this to help us divide and conquer?
Riddhi - Code Review, EDA, start making web layout for final? (see Nick's repo from last year)
@HeyItsRiddhi
William- continue…
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I was wondering if it would be possible to also support the calculation of AIC and BIC values of a biglasso fit, similar to the way that the ncvreg package provides this (returning a vector of AIC and…
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# Captum LIME API Design
## Background
LIME is an algorithm which interprets a black-box model by training an interpretable model, such as a linear model, based on local perturbations around a p…
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I'm training an EBM regressor on insurance loss data where the outcome has many zero values and large right skew. This is my model configuration:
```python
model = ExplainableBoostingRegressor(
…
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We have methods for associating individual genetic variants and phenotypes (https://github.com/pystatgen/sgkit/pull/16, https://github.com/pystatgen/sgkit/pull/66), but inferring associations with gen…
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Great work. Is it possible to extend package to allow sparse matrices as input?
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@rbalshaw @farnushfarhadi
the last commit: 7ce221a00db3b079f614041d2bf61afa89c415df
the link to the proposal: https://github.com/STAT540-UBC/team_Methylation-Badassays/blob/master/project_proposal.…
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La fiche est très riche et semble tout à fait en mesure de pouvoir servir de support utile pour quiconque souhaiterait se lancer dans l'estimation de modèles GWR en R. Les auteurs ont pris le soin de …
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https://www.kaggle.com/elmadj/detect-credit-card-fraud-using-logistic-regression/notebook
https://www.kaggle.com/theonarh/kernels/notebooks/new?forkParentScriptVersionId=2167747
https://www.data-blo…