.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "python/examples/sklearn_evals_result.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        :ref:`Go to the end <sphx_glr_download_python_examples_sklearn_evals_result.py>`
        to download the full example code.

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_python_examples_sklearn_evals_result.py:


Demo for accessing the xgboost eval metrics by using sklearn interface
======================================================================

.. GENERATED FROM PYTHON SOURCE LINES 5-51

.. code-block:: Python


    import numpy as np
    from sklearn.datasets import make_hastie_10_2

    import xgboost as xgb

    X, y = make_hastie_10_2(n_samples=2000, random_state=42)

    # Map labels from {-1, 1} to {0, 1}
    labels, y = np.unique(y, return_inverse=True)

    X_train, X_test = X[:1600], X[1600:]
    y_train, y_test = y[:1600], y[1600:]

    param_dist = {"objective": "binary:logistic", "n_estimators": 2}

    clf = xgb.XGBModel(
        **param_dist,
        eval_metric="logloss",
    )
    # Or you can use: clf = xgb.XGBClassifier(**param_dist)

    clf.fit(
        X_train,
        y_train,
        eval_set=[(X_train, y_train), (X_test, y_test)],
        verbose=True,
    )

    # Load evals result by calling the evals_result() function
    evals_result = clf.evals_result()

    print("Access logloss metric directly from validation_0:")
    print(evals_result["validation_0"]["logloss"])

    print("")
    print("Access metrics through a loop:")
    for e_name, e_mtrs in evals_result.items():
        print("- {}".format(e_name))
        for e_mtr_name, e_mtr_vals in e_mtrs.items():
            print("   - {}".format(e_mtr_name))
            print("      - {}".format(e_mtr_vals))

    print("")
    print("Access complete dict:")
    print(evals_result)


.. _sphx_glr_download_python_examples_sklearn_evals_result.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: sklearn_evals_result.ipynb <sklearn_evals_result.ipynb>`

    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: sklearn_evals_result.py <sklearn_evals_result.py>`

    .. container:: sphx-glr-download sphx-glr-download-zip

      :download:`Download zipped: sklearn_evals_result.zip <sklearn_evals_result.zip>`


.. only:: html

 .. rst-class:: sphx-glr-signature

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