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Fixing issue https://github.com/dask/dask-examples/issues/235 #245

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Fixing issue https://github.com/dask/dask-examples/issues/235 #245

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d8d09e8
Fixing issue https://github.com/dask/dask-examples/issues/235
enstenr Nov 25, 2025
25b07f6
Fixing issue https://github.com/dask/dask-examples/issues/235
enstenr Nov 25, 2025
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11 changes: 7 additions & 4 deletions machine-learning/xgboost.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -114,7 +114,7 @@
"source": [
"import dask\n",
"import xgboost\n",
"import dask_xgboost"
"from xgboost.dask import DaskDMatrix, train"
]
},
{
Expand All @@ -140,8 +140,10 @@
"params = {'objective': 'binary:logistic',\n",
" 'max_depth': 4, 'eta': 0.01, 'subsample': 0.5, \n",
" 'min_child_weight': 0.5}\n",
"dtrain = DaskDMatrix(client, X_train, y_train)\n",
"\n",
"bst = dask_xgboost.train(client, params, X_train, y_train, num_boost_round=10)"
"output = train(client, params, dtrain, num_boost_round=10)\n",
"bst = output['booster'] # This is the actual Booster object\n"
]
},
{
Expand Down Expand Up @@ -219,7 +221,8 @@
"metadata": {},
"outputs": [],
"source": [
"y_hat = dask_xgboost.predict(client, bst, X_test).persist()\n",
"from xgboost.dask import predict\n",
"y_hat = predict(client, bst, X_test).persist()\n",
"y_hat"
]
},
Expand Down Expand Up @@ -295,7 +298,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.12"
"version": "3.12.3"
}
},
"nbformat": 4,
Expand Down
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