-
Similar to #695 (closed). In the original discussion, participants did not seem to understand the difference between "learning-to-rank" and "ordinal classification". "learning-to-rank" produce relativ…
-
Hello,
I'm experiencing an issue when trying to run AutoFLAML with the `gpu_per_trial` argument. Here is the setup that I'm using:
```python
automl = AutoML()
automl_settings = {
'time_b…
-
For example
```
XGBoostClassifier: Test Failed at /home/expandingman/.julia/dev/MLJXGBoostInterface/test/runtests.jl:235
Expression: isempty(failures)
Evaluated: isempty(NamedTuple{(:name, :p…
-
follow pyspark mllib algorithm, i.e. https://github.com/apache/spark/blob/master/python/pyspark/mllib/regression.py#L189
wrap the xgboost spark so that we can call xgboost spark from python, in gener…
-
hi, its always hard to compare different algorithms. BUT IMO you should have laid out the configurations in the readme.
in particular you are comparing xgboost max depth 7 with logistic regression wi…
-
Hello! I am seeing the following issue when attempting to export a model Pipeline to PMML 4.3. I am uncertain if the model requires at least 4.4 or if there are other issues at play here.
```
Exce…
-
I am working on feature selection using Genetic Algorithm (GA) with Random forest regression model (h2o4gpu.RandomForest Regressor). The number of estimators is 100, rest of the parameters are default…
-
I build the xgboost model.
The partial dependence plot (red line) appears in the opposite way.
Could you please help out?
```{r}
set.seed(1278)
xgb_f %
partial(pred.var = "airTEMP", grid.…
-
**Algorithms**
* Linear Model
- [x] Ordinary Least Squared Linear Regression
- [x] Gradient Descent Linear Regression
- [x] Stochastic Gradient Descent Linear Regression
- [x] Logist…
-
https://github.com/dmlc/xgboost/issues/7019
In particular, for network setup: https://github.com/dmlc/xgboost/issues/7019#issuecomment-855657869
NCCL is wrongly using a non-IP based `vet` device…