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github-actions[bot] committed Dec 10, 2024
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4 changes: 0 additions & 4 deletions dev/.buildinfo

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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.3"
"version": "3.12.8"
}
},
"nbformat": 4,
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.3"
"version": "3.12.8"
}
},
"nbformat": 4,
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.3"
"version": "3.12.8"
}
},
"nbformat": 4,
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"cell_type": "markdown",
"metadata": {},
"source": [
"Unlike :func:`verde.cross_val_score`, calling :meth:`~verde.SplineCV.fit`\ndoes **not** result in :func:`dask.delayed` objects. The full grid search is\nexecuted and the optimal parameters are found immediately.\n\n"
"Unlike :func:`verde.cross_val_score`, calling :meth:`~verde.SplineCV.fit`\ndoes **not** result in :func:`dask.delayed.delayed` objects. The full grid\nsearch is executed and the optimal parameters are found immediately.\n\n"
]
},
{
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"cell_type": "markdown",
"metadata": {},
"source": [
"The one caveat is the that the ``scores_`` attribute will be a list of\n:func:`dask.delayed` objects instead because the scores are only computed as\nintermediate values in the scheduled computations.\n\n"
"The one caveat is the that the ``scores_`` attribute will be a list of\n:func:`dask.delayed.delayed` objects instead because the scores are only\ncomputed as intermediate values in the scheduled computations.\n\n"
]
},
{
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.3"
"version": "3.12.8"
}
},
"nbformat": 4,
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.3"
"version": "3.12.8"
}
},
"nbformat": 4,
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.3"
"version": "3.12.8"
}
},
"nbformat": 4,
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"cell_type": "markdown",
"metadata": {},
"source": [
"In this case, the scores haven't actually been computed yet (hence the\n\"delayed\" term). Instead, Verde scheduled the operations with Dask. Since we\nare interested only in the mean score, we can schedule the mean as well using\n:func:`dask.delayed`:\n\n"
"In this case, the scores haven't actually been computed yet (hence the\n\"delayed\" term). Instead, Verde scheduled the operations with Dask. Since we\nare interested only in the mean score, we can schedule the mean as well using\n:func:`dask.delayed.delayed`:\n\n"
]
},
{
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.3"
"version": "3.12.8"
}
},
"nbformat": 4,
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.3"
"version": "3.12.8"
}
},
"nbformat": 4,
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.3"
"version": "3.12.8"
}
},
"nbformat": 4,
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Expand Up @@ -35,7 +35,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.3"
"version": "3.12.8"
}
},
"nbformat": 4,
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.3"
"version": "3.12.8"
}
},
"nbformat": 4,
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.3"
"version": "3.12.8"
}
},
"nbformat": 4,
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.3"
"version": "3.12.8"
}
},
"nbformat": 4,
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.3"
"version": "3.12.8"
}
},
"nbformat": 4,
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.3"
"version": "3.12.8"
}
},
"nbformat": 4,
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.3"
"version": "3.12.8"
}
},
"nbformat": 4,
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.3"
"version": "3.12.8"
}
},
"nbformat": 4,
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.3"
"version": "3.12.8"
}
},
"nbformat": 4,
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.3"
"version": "3.12.8"
}
},
"nbformat": 4,
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.3"
"version": "3.12.8"
}
},
"nbformat": 4,
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# In this case, the scores haven't actually been computed yet (hence the
# "delayed" term). Instead, Verde scheduled the operations with Dask. Since we
# are interested only in the mean score, we can schedule the mean as well using
# :func:`dask.delayed`:
# :func:`dask.delayed.delayed`:

mean_score = dask.delayed(np.mean)(scores)
print("Delayed mean:", mean_score)
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.3"
"version": "3.12.8"
}
},
"nbformat": 4,
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.3"
"version": "3.12.8"
}
},
"nbformat": 4,
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.3"
"version": "3.12.8"
}
},
"nbformat": 4,
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.3"
"version": "3.12.8"
}
},
"nbformat": 4,
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.3"
"version": "3.12.8"
}
},
"nbformat": 4,
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###############################################################################
# Unlike :func:`verde.cross_val_score`, calling :meth:`~verde.SplineCV.fit`
# does **not** result in :func:`dask.delayed` objects. The full grid search is
# executed and the optimal parameters are found immediately.
# does **not** result in :func:`dask.delayed.delayed` objects. The full grid
# search is executed and the optimal parameters are found immediately.

spline.fit(proj_coords, data.air_temperature_c)

print("Best damping:", spline.damping_)

###############################################################################
# The one caveat is the that the ``scores_`` attribute will be a list of
# :func:`dask.delayed` objects instead because the scores are only computed as
# intermediate values in the scheduled computations.
# :func:`dask.delayed.delayed` objects instead because the scores are only
# computed as intermediate values in the scheduled computations.

print("Delayed scores:", spline.scores_)

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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.3"
"version": "3.12.8"
}
},
"nbformat": 4,
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.3"
"version": "3.12.8"
}
},
"nbformat": 4,
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