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[pyspark] add parameters in the ctor of all estimators. #9202
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@WeichenXu123 @trivialfis could you help to review this PR? |
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LGTM
force_repartition: bool = False, | ||
repartition_random_shuffle: bool = False, | ||
enable_sparse_data_optim: bool = False, | ||
**xgboost_parameters: Dict[str, Any], |
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Please use the convention of **kwargs
.
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Done. Thx
Xgboost DMatrix object will be constructed from sparse matrix instead of | ||
dense matrix. | ||
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xgboost_parameters: |
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ditto.
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Done
force_repartition: bool = False, | ||
repartition_random_shuffle: bool = False, | ||
enable_sparse_data_optim: bool = False, | ||
**xgboost_parameters: Dict[str, Any], |
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ditto.
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Done
To specify the base margins of the training and validation | ||
dataset, set :py:attr:`xgboost.spark.SparkXGBClassifier.base_margin_col` parameter | ||
instead of setting `base_margin` and `base_margin_eval_set` in the | ||
`xgboost.XGBClassifier` fit method. Note: this isn't available for distributed |
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`xgboost.XGBClassifier` fit method. Note: this isn't available for distributed | |
:py:class:`xgboost.XGBClassifier` fit method. Note: this isn't available for distributed |
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What do you mean by isn't available for distributed training?
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Done. removed it.
base_margin_col: | ||
To specify the base margins of the training and validation | ||
dataset, set :py:attr:`xgboost.spark.SparkXGBClassifier.base_margin_col` parameter | ||
instead of setting `base_margin` and `base_margin_eval_set` in the | ||
`xgboost.XGBClassifier` fit method. Note: this isn't available for distributed | ||
training. | ||
qid_col" |
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qid_col" | |
qid_col: |
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QID is only available for ranking.
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Good catch.
Co-authored-by: Jiaming Yuan <jm.yuan@outlook.com>
Co-authored-by: Jiaming Yuan <jm.yuan@outlook.com>
Co-authored-by: Jiaming Yuan <jm.yuan@outlook.com>
Co-authored-by: Jiaming Yuan <jm.yuan@outlook.com>
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You can build the document using sphinx. Install the required packages listed in doc/requirements.txt
using pip (or conda if you prefer), run make html
under the doc
directory, watch out for warnings during build, then you can view the html files.
Co-authored-by: Jiaming Yuan <jm.yuan@outlook.com>
Co-authored-by: Jiaming Yuan <jm.yuan@outlook.com>
Co-authored-by: Jiaming Yuan <jm.yuan@outlook.com>
This PR adds parameters into estimators'
__ init__
function and more doc.