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Thank you for your work!
Can you provide training data for the xgboost model?
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The code also appears to depend on "xgboost"
It also appears to depend on libomp in a non-trivial way. I think it has a hard-coded path to Homebrew's libomp path.
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My system is running with these libraries in my `.toml` that supports read/write files, based on `fsspec` in Python.
`fsspec_dnanexus = ">=0.2.3"`
`s3fs = "== 2024.3.1"`
`adlfs = "== 2024.4.0"`
`x…
nct74 updated
1 month ago
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Python class `DMatrix` allows a parameter `data_split_mode` in its constructor, but the docstrings leave this part blank where they should mention what it does: https://github.com/dmlc/xgboost/blob/71…
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xgb params:
```python
params = {
'colsample_bytree': 0.73,
'learning_rate': 0.09,
'subsample': 0.8,
'min_child_weight': 50.0,
'max_depth': 4.0,
'max_leaves': 15.0
}
…
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If there are different categorical levels in the train and validation dataset, and a user sets categorical_encoding to "one_hot_explicit" in XGBoost they will see a `ERRR: java.lang.AssertionError`, a…
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hey -
I was trying to implement the other side of the load/save from buffer, `XGBoosterGetModelRaw`, but I'm stuck, and thought maybe you could help.
This is where I am (in `Booster` impl):
`…
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I run the code
```
library(sparkxgb)
library(sparklyr)
library(dplyr)
```
```
sc
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Test [AutoML XGBoost Classifier example](https://github.com/lalalapotter/bigdl-example/blob/main/mastercard/xgboost/xgb_clf_automl.py) in Almaren Yarn Cluster(cluster mode), with sparse datasets from …
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Opening this mostly for discussion.
Say all your data lives in ``. After doing some selecting/filtering/transforming, you want to export your data out of the DB and into a different distributed sys…