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Machine Learning
OrcaSong
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!11
Resolve "mc_info_extractor for neutrino reco chain"
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Resolve "mc_info_extractor for neutrino reco chain"
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@@ -130,7 +130,7 @@ calibrate the data on the fly:
Adding mc_info
^^^^^^^^^^^^^^
Define a function ``my_
mcinfo_
extractor``, which takes as an input a km3pipe blob,
Define a function ``my_extractor``, which takes as an input a km3pipe blob,
and outputs a dict mapping str to float.
It should contain everything you need later down the pipeline, e.g. labels,
event identifiers, ...
@@ -140,5 +140,5 @@ the str being the dtype names. Set up like follows:
.. code-block:: python
fb = FileBinner(bin_edges_list,
mc_info_extr=my_mcinfo
_extractor)
fb = FileBinner(bin_edges_list,
extractor=my
_extractor)
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