dask-xgboost
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dask
**What happened**: Facing an issue like AttributeError: 'DataFrame' object has no attribute 'to_delayed' from core.py (line 175, version latest - 0.1.11) data_parts = data.to_delayed() **What you expected to happen**: train...
**What happened**: When `sample_weight` is specified and train() method input's npartitions is not equal to the number of workers the following evaluation: sample_weight = concat(sample_weight) if np.all(sample_weight) else None fails...
When connecting to a dask-gateway the `client.scheduler_address` is a proxy address ``` >>>client.scheduler.address 'gateway://dask.training.anaconda.com:8786/4fd53916f0214703934701aa7a7eaf85' ``` I was able to solve this with the following in `core::_train` with `client.scheduler_info()['address']`) ```python #...
Due to changes in the Travis CI billing, the Dask org is migrating Travis CI to GitHub Actions. This repo appears to use CircleCI. As we are putting in the...
Hi all, I am trying to use randomized cross validation on dask-xgboost. Here is the snippet of code I am trying to get to work: ``` from dask_ml.model_selection import RandomizedSearchCV...
setup: dask 0.14 . (pip installed) xgboost 0.62 (conda installed) dask-xgboost 0.10.X (modified distributed.comm.addressing) for loading import dask_xgboost without error (https://github.com/dask/dask-xgboost/issues/1) I was following the example here, https://gist.github.com/mrocklin/3696fe2398dc7152c66bf593a674e4d9 i produces...
When continuing training xgboost from an existing model in distributed environment with more than 3 workers, xgboost does not train: nothing happens in workers and it never finishes. But in...
I used 2800W samples to train dask xgboost, but the status of training task always shows no work. from distributed import Client, progress from dask.distributed import Client as Client2 import...
Dask worker dies while during dask-xgboost classifier training ; It is being observed while running `test_core.py::test_classifier` Configuration used - ``` Dask Version: 2.9.2 Distributed Version: 2.9.3 XGBoost Version: 0.90 Dask-XGBoost...
I´ve just opened this issue in the dask repo, but maybe here is better... I´m using dask for implementing a data pipeline with dask dataframes and dask ml in a...
