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import xgboost as xgb
xgb.__version__
Out[203]: '2.0.2'
booster = xgb.train(
{
# Use the quantile objective function.
"objective": "reg:quantileerror",
"tree_met…
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[deeplearning.docx](https://github.com/ssfc/machine-learning/files/3323819/deeplearning.docx)
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For example, for a given regressor, how should we decide wether beta is 0 or not? how should we discriminate between a model with one or multiple betas.
- [ ] Repeat literature search for generic G…
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With obtaining CT / MRI / X-ray Datasets generated from several different places, we have faced a problem, garbage mixed with good images. I would like an algorithm / network that would help us to ide…
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Maybe this can be done using the trajectories found in #3?
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@aaron-15 @vishelar i ran canned models using Dataiku on
the data `SOCIAL_EXPLORER_CTs.csv.zip` and got some interesting results. Would recommed we spend some time on this.
![image](https://user-…
vr00n updated
5 years ago
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## 💥 Proposal
# This is the approach what I am following:
This is a language detection model with detects the language of the text provided.
**Steps**
Data processing:
1.Removing the inconsis…
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enviroment: L4, colossus machine, spark3.4.2-python39-cuda12.2.2-cuml23.12-ubuntu20.04
error message:
this test case located in tests/test_logistic_regression.py
> spark_lr = Logis…
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Hi
I am following the example for Random Forests : https://pbiecek.github.io/breakDown/articles/break_randomForest.html
I am still not sure how to translate the output of breakDown.
in the example …