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Hello , i'm using this repository for my school project 'Breast cancer classification using mammoram pictures' the project is working perfectly
my question is why it shows only 3 birads categories w…
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The current literature.json uses a dictionary by pmid of snippets per variant:
```
{'chr13:g.32363367:C>G': {'10464631': ['6 * BRCA2> Is a '
'Deleter…
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**Question: How do we incorporate genetic variants into netDx to improve predictive power and capture pathways of relevance to the disorder?**
Considerations:
1. How do you decide which variants …
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Little express.js-based web service that we will use to demo the protein viewer, that just takes a single human protein name as input (e.g. KRAS), picks the canonical isoform (if there are isoforms), …
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Does scikit-learn have any capacity for partial dependence plots and associated data arrays for random forest analyses?
I can find the plot for GradientBoostingRegressor here http://scikit-learn.org/s…
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I am trying to implement logistic regression in AWS Sagemaker. Based on my research I found that Linear Learner built into Sagemaker can be used to perform logistic regression when the predictor_typ…
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I initially installed xgboost using https://s3-us-west-2.amazonaws.com/xgboost-wheels/xgboost-multigpu-0.80-py2.py3-none-manylinux1_x86_64.whl. Then, I found only 1 gpu is working even after I set n_g…
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I was wondering if it is possible to get vectors from XGBoostClassifier estimators. For example if we have trained Classifier with 3 estimators and each has 4 leaf nodes, then each would produce vecto…
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Hi,
Thanks for sharing this useful software.
I'm trying to use XGBoost for a structured prediction problem which I have to generate my test instances at run time.
That's why, I'm using the `public DM…
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Hi,
I wrote a custom scorer for `sklearn.metrics.f1_score` that overwrites the `pos_label=1` by default and it looks like this
```
def custom_f1_score(y, y_pred, val):
return sklearn.metrics…