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minrecord
is a minimalist Python library to record values in a ML workflow.
In particular, it provides functionalities to track the best value, or the most recent values by
storing a limiting number of values.
It is possible to customize the library e.g. it is possible to define a new logic to track the best
value.
Below is an example to show how to track the best scalar value when the best value is the maximum
value and when the best value is the minimum value.
>>> from minrecord import MaxScalarRecord, MinScalarRecord
>>> record_max = MaxScalarRecord("accuracy")
>>> record_max.update([(0, 42), (None, 45), (2, 46)])
>>> record_max.add_value(40)
>>> record_max.get_best_value()
46
>>> record_min = MinScalarRecord("loss")
>>> record_min.update([(0, 42), (None, 45), (2, 46)])
>>> record_min.add_value(50)
>>> record_min.get_best_value()
42
We highly recommend installing
a virtual environment.
minrecord
can be installed from pip using the following command:
pip install minrecord
To make the package as slim as possible, only the minimal packages required to use minrecord
are
installed.
To include all the dependencies, you can use the following command:
pip install minrecord[all]
Please check the get started page to see how
to
install only some specific dependencies or other alternatives to install the library.
The following is the corresponding minrecord
versions and tested dependencies.
minrecord | coola | objectory | python |
---|---|---|---|
main | >=0.8.4,<1.0 | >=0.2,<1.0 * | >=3.9,<3.14 |
0.1.0 | >=0.8.4,<1.0 | >=0.2,<1.0 * | >=3.9,<3.14 |
0.0.2 | >=0.7.2,<1.0 | >=0.1,<1.0 * | >=3.9,<3.13 |
0.0.1 | >=0.7,<1.0 | >=0.1,<1.0 | >=3.9,<3.13 |
* indicates an optional dependency
Please check the instructions in CONTRIBUTING.md.
Everyone is welcome to contribute to the community. If you have any questions or suggestions, you can submit Github Issues. We will reply to you as soon as possible. Thank you very much.
:warning: While minrecord
is in development stage, no API is guaranteed to be stable from one
release to the next.
In fact, it is very likely that the API will change multiple times before a stable 1.0.0 release.
In practice, this means that upgrading minrecord
to a new version will possibly break any code
that
was using the old version of minrecord
.
minrecord
is licensed under BSD 3-Clause "New" or "Revised" license available
in LICENSE
file.
FAQs
Minimalist library to record values in a ML workflow
We found that minrecord demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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