./devel/ruby-red-datasets, Provide common datasets such as iris dataset

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Branch: CURRENT, Version: 0.1.7, Package name: ruby31-red-datasets-0.1.7, Maintainer: pkgsrc-users

Red Datasets

Red Datasets provides classes that provide common datasets such as iris
dataset.

You can use datasets easily because you can access each dataset with
multiple ways such as #each and Apache Arrow Record Batch.

Master sites:

Filesize: 68.5 KB

Version history: (Expand)

CVS history: (Expand)


   2023-06-06 15:45:14 by Takahiro Kambe | Files touched by this commit (2) | Package updated
Log message:
devel/ruby-red-datasets: update to 0.1.7

0.1.7 (2023-05-29)

Improvements

* Datasets::NagoyaUniversityConversationCorpus: Avoid using endless range
  for old Ruby.
   2023-05-28 03:22:12 by Takahiro Kambe | Files touched by this commit (3) | Package updated
Log message:
devel/ruby-red-datasets: update to 0.1.6

0.1.6 (2023-05-24)

Improvements

* Added support for lazy loading by require "datasets/lazy".

* Datasets::NagoyaUniversityConversationCorpus: Added.  GH-168
  [Patch by matsuura]

* Datasets::Wikipedia: Added support for downloading in background.

Thanks

* matsuura
   2022-10-10 05:36:51 by Takahiro Kambe | Files touched by this commit (32) 
Log message:
Remove lines for Ruby 2.6.
   2022-10-09 09:26:25 by Takahiro Kambe | Files touched by this commit (3) | Package updated
Log message:
devel/ruby-red-datasets: update to 0.1.5

pkgsrc change: drop ruby26 support.

0.1.5 (2022-09-22)

Improvements

* Datasets::PMJTDatasetList: Added. [GitHub#107][Patch by okadak]
* Datasets::AozoraBunko: Added. [GitHub#108][Patch by Masa]
* Added how to develop to README [GitHub#117][Patch by abcdefg-1234567]
* Datasets::FuelEconomy: Added. [GitHub#114][Patch by Benson Muite]
* Datasets::Geolonia: Added. [GitHub#118][Patch by abcdefg-1234567]
* Datasets::Diamonds: Added. [GitHub#110][Patch by Benson Muite]
* Datasets::ITACorpus: Added. [GitHub#119][Patch by abcdefg-1234567]
* Datasets::KuzushijiMNIST: Added. [GitHub#125][Patch by abcdefg-1234567]
* Updated list of datasets in README. [GitHub#129][Patch by Benson Muite]
* Datasets::CaliforniaHousing: Added. [GitHub#123][Patch by Benson Muite]
* Added support for Ruby 3.1. [GitHub#130][Patch by Benson Muite]
* Datasets::AFINN: Added. [GitHub#120][Patch by Benson Muite]
* Datasets::LivedoorNews: Added. [GitHub#127][Patch by abcdefg-1234567]
* Datasets::SeabornDataList: Added. [GitHub#134][Patch by Hirokazu SUZUKI]
* Datasets::WikipediaKyotoJapaneseEnglish: Added. [GitHub#135][Patch by
  abcdefg-1234567]
* Renamed Rdatasets to Rdataset. [GitHub#148][Patch by Hirokazu SUZUKI]
* Removed support for Ruby 2.6.
* Add missing license information.
* Datasets::QuoraDuplicateQuestionPair: Added. [GitHub#149][Patch by
  otegami]

Fixes

* Fixed key from nil to :index in Datasets::SeabornData. [GitHub#133][Patch
  by Hirokazu SUZUKI]
* Fixed Datasets::Rdatasets#each to change "NA" to nil. [GitHub#139][Patch
  by Hirokazu SUZUKI]
* Fix Datasets::Rdatasets#each with mixed data of numeric and
  string. [GitHub#140][Patch by Hirokazu SUZUKI]

Thanks

* okadak
* Masa
* Benson Muite
* abcdefg-1234567
* Hirokazu SUZUKI
* Sutou Kouhei
* otegami
   2021-10-26 12:20:11 by Nia Alarie | Files touched by this commit (3016) 
Log message:
archivers: Replace RMD160 checksums with BLAKE2s checksums

All checksums have been double-checked against existing RMD160 and
SHA512 hashes

Could not be committed due to merge conflict:
devel/py-traitlets/distinfo

The following distfiles were unfetchable (note: some may be only fetched
conditionally):

./devel/pvs/distinfo pvs-3.2-solaris.tgz
./devel/eclipse/distinfo eclipse-sourceBuild-srcIncluded-3.0.1.zip
   2021-10-07 15:44:44 by Nia Alarie | Files touched by this commit (3017) 
Log message:
devel: Remove SHA1 hashes for distfiles
   2021-06-10 16:31:04 by Takahiro Kambe | Files touched by this commit (4) 
Log message:
devel/ruby-red-datasets: add package version 0.1.2

Red Datasets

Red Datasets provides classes that provide common datasets such as iris
dataset.

You can use datasets easily because you can access each dataset with
multiple ways such as #each and Apache Arrow Record Batch.