python3-astroML-1.0.2.post1-8.fc40 > 6 6_DH6~ې۔ 3!]W>D] 'p~[ye 'p~[y̎Qp6){d!= `bK̩I3w}7ĺzBV?)%E'2M7e闌A DӺ-x'e<DMgÊ0D] 'p~[ye 'p~[yt[Gx "iթc׊_mh:5R\ǾzuLa?ChT`MO_U ;Idz*5*p?Ay^3u:U]Xb C5S7+kܰ=H c?O~-u(:9%e6zGyeTN4ڠm .=,1 }G;L jB:`@!?d % d04CR_ nz     k m4sLz, \ } (8 9 :Y FZGHIXDYX\]^4b&defltu4vLwxyWz@PTCpython3-astroML1.0.2.post18.fc40Python tools for machine learning and data mining in AstronomyAstroML is a Python module for machine learning and data mining built on numpy, scipy, scikit-learn, and matplotlib, and distributed under the 3-clause BSD license. It contains a growing library of statistical and machine learning routines for analyzing astronomical data in python, loaders for several open astronomical datasets, and a large suite of examples of analyzing and visualizing astronomical datasets.e .buildvm-x86-23.iad2.fedoraproject.org:HFedora ProjectFedora ProjectBSD-2-ClauseFedora ProjectUnspecifiedhttp://www.astroml.org/linuxnoarch \  ff3300(*o  @(  @GTT )S yx ;;SSUU  kk55ff U U  rr = = ] T> } m Q5a1nn @@SS 0 XIII;;tt33 $H$H't'1 N ;<< U U:: > >  eK)8  'tF  &k'FF   < &D,, XX66 )W 4(<<%m%4 "C6^^"}#'   5 %z?r?r2%%$(/+(+~  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