Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: ALiPy: Active Learning in Python   Supervised machine learning methods usually require a large set of labeled
examples for model training. However, in many real applications, there are
plentiful unlabeled data but limited labeled data; and the acquisition of
labels is costly. Active learning (AL) reduces the labeling cost by iteratively
selecting the most valuable data to query their labels from the annotator. This
article introduces a Python toobox ALiPy for active learning. ALiPy provides a
module based implementation of active learning framework, which allows users to
conveniently evaluate, compare and analyze the performance of active learning
methods. In the toolbox, multiple options are available for each component of
the learning framework, including data process, active selection, label query,
results visualization, etc. In addition to the implementations of more than 20
state-of-the-art active learning algorithms, ALiPy also supports users to
easily configure and implement their own approaches under different active
learning settings, such as AL for multi-label data, AL with noisy annotators,
AL with different costs and so on. The toolbox is well-documented and
open-source on Github, and can be easily installed through PyPI.

24
The categories of this paper are: dg-ga
30
The categories of this paper are: q-alg
26
The categories of this paper are: bayes-an
5
The categories of this paper are: gr-qc
17
The categories of this paper are: q-fin
11
The categories of this paper are: hep-lat
15
The categories of this paper are: nucl-ex
3
The categories of this paper are: physics
4
The categories of this paper are: cond-mat
18
The categories of this paper are: econ
27
The categories of this paper are: comp-gas
8
The categories of this paper are: hep-ex
32
The categories of this paper are: atom-ph
19
The categories of this paper are: eess
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The categories of this paper are: adap-org
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The categories of this paper are: chao-dyn