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Add support for single value metric reporting (#400)

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allegroai 2022-06-06 14:04:51 +03:00
parent 2f42fc4830
commit fdefa9784c
1 changed files with 11 additions and 0 deletions
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11
clearml/logger.py
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@ -172,6 +172,17 @@ class Logger(object):
# noinspection PyProtectedMember # noinspection PyProtectedMember
return self._task._reporter.report_scalar(title=title, series=series, value=float(value), iter=iteration) return self._task._reporter.report_scalar(title=title, series=series, value=float(value), iter=iteration)
def report_single_value(self, name, value):
# type: (str, float) -> None
"""
Reports a single value metric (for example, total experiment accuracy or mAP)
You can view the metrics in the **ClearML Web-App (UI)**, **RESULTS** tab, **SCALARS** sub-tab.
:param name: Metric's name
:param value: Metric's value
"""
return self.report_scalar(title="Summary", series=name, value=value, iteration=-2**31)
def report_vector( def report_vector(
self, self,
title, # type: str title, # type: str