4656b09d5d
* Add a new API function for predicting on `DMatrix`. This function aligns with rest of the `XGBoosterPredictFrom*` functions on semantic of function arguments. * Purge `ntree_limit` from libxgboost, use iteration instead. * [dask] Use `inplace_predict` by default for dask sklearn models. * [dask] Run prediction shape inference on worker instead of client. The breaking change is in the Python sklearn `apply` function, I made it to be consistent with other prediction functions where `best_iteration` is used by default.
41 lines
506 B
YAML
41 lines
506 B
YAML
name: cpu_test
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channels:
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- conda-forge
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dependencies:
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- python=3.7
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- pip
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- wheel
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- pyyaml
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- cpplint
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- pylint
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- numpy
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- scipy
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- scikit-learn
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- pandas
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- matplotlib
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- dask
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- distributed
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- python-graphviz
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- hypothesis
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- astroid
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- sphinx
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- sh
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- recommonmark
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- mock
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- breathe
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- pytest
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- pytest-cov
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- python-kubernetes
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- urllib3
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- jsonschema
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- boto3
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- awscli
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- numba
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- llvmlite
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- pip:
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- shap
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- ipython # required by shap at import time.
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- guzzle_sphinx_theme
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- datatable
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- modin[all]
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