Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Deeptime: a Python library for machine learning dynamical models from
  time series data   Generation and analysis of time-series data is relevant to many quantitative
fields ranging from economics to fluid mechanics. In the physical sciences,
structures such as metastable and coherent sets, slow relaxation processes,
collective variables dominant transition pathways or manifolds and channels of
probability flow can be of great importance for understanding and
characterizing the kinetic, thermodynamic and mechanistic properties of the
system. Deeptime is a general purpose Python library offering various tools to
estimate dynamical models based on time-series data including conventional
linear learning methods, such as Markov state models (MSMs), Hidden Markov
Models and Koopman models, as well as kernel and deep learning approaches such
as VAMPnets and deep MSMs. The library is largely compatible with scikit-learn,
having a range of Estimator classes for these different models, but in contrast
to scikit-learn also provides deep Model classes, e.g. in the case of an MSM,
which provide a multitude of analysis methods to compute interesting
thermodynamic, kinetic and dynamical quantities, such as free energies,
relaxation times and transition paths. The library is designed for ease of use
but also easily maintainable and extensible code. In this paper we introduce
the main features and structure of the deeptime software.

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The categories of this paper are: acc-phys
15
The categories of this paper are: nucl-ex
30
The categories of this paper are: q-alg
31
The categories of this paper are: ao-sci
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The categories of this paper are: eess
6
The categories of this paper are: astro-ph
11
The categories of this paper are: hep-lat
8
The categories of this paper are: hep-ex
5
The categories of this paper are: gr-qc
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The categories of this paper are: nlin
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The categories of this paper are: chao-dyn
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The categories of this paper are: funct-an
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The categories of this paper are: q-bio
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The categories of this paper are: bayes-an
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The categories of this paper are: atom-ph
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The categories of this paper are: patt-sol