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envelope-from=chuanwei.foo@hotmail.com; helo=APC01-PU1-obe.outbound.protection.outlook.com X-Spam_score_int: -20 X-Spam_score: -2.1 X-Spam_bar: -- X-Spam_report: (-2.1 / 5.0 requ) BAYES_00=-1.9, DKIM_SIGNED=0.1, DKIM_VALID=-0.1, DKIM_VALID_AU=-0.1, DKIM_VALID_EF=-0.1, FREEMAIL_FROM=0.001, RCVD_IN_DNSWL_NONE=-0.0001, RCVD_IN_MSPIKE_H2=-0.001, SPF_HELO_PASS=-0.001, SPF_PASS=-0.001 autolearn=ham autolearn_force=no X-Spam_action: no action X-BeenThere: debbugs-submit@debbugs.gnu.org X-Mailman-Version: 2.1.18 Precedence: list X-BeenThere: guix-patches@gnu.org List-Id: List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , Errors-To: guix-patches-bounces+patchwork=mira.cbaines.net@gnu.org Sender: "Guix-patches" X-getmail-retrieved-from-mailbox: Patches * gnu/packages/machine-learning.scm (weka): New public variable. --- gnu/packages/machine-learning.scm | 40 +++++++++++++++++++++++++++++++ 1 file changed, 40 insertions(+) base-commit: ce83883f3d8bf6e6d25091acd018a8236a5754e1 diff --git a/gnu/packages/machine-learning.scm b/gnu/packages/machine-learning.scm index 029422677a..98412894b0 100644 --- a/gnu/packages/machine-learning.scm +++ b/gnu/packages/machine-learning.scm @@ -40,6 +40,7 @@ #:use-module (guix download) #:use-module (guix svn-download) #:use-module (guix build-system cmake) + #:use-module (guix build-system copy) #:use-module (guix build-system gnu) #:use-module (guix build-system ocaml) #:use-module (guix build-system python) @@ -65,6 +66,7 @@ #:use-module (gnu packages graphviz) #:use-module (gnu packages gstreamer) #:use-module (gnu packages image) + #:use-module (gnu packages java) #:use-module (gnu packages libffi) #:use-module (gnu packages linux) #:use-module (gnu packages llvm) @@ -2934,3 +2936,41 @@ Note: currently this package does not provide GPU support.") "Hmmlearn is a set of algorithms for unsupervised learning and inference of Hidden Markov Models.") (license license:bsd-3))) + +(define-public weka + (package + (name "weka") + (version "3.9.5") + (source (origin + (method url-fetch) + (uri "mirror://sourceforge/weka/weka-3-9/3.9.5/weka-3-9-5.zip") + (sha256 + (base32 + "0scnqk4zysdp9hv7w2rgz3pwkqirszj8pfv94drkhlnyc9cz9kf6")))) + (build-system copy-build-system) + (native-inputs `(("unzip" ,unzip))) + (inputs `(("jre" ,icedtea))) + (arguments '(#:install-plan '(("." "share/weka/")) + #:phases + (modify-phases %standard-phases + (add-after 'install 'make-wrapper + (lambda* (#:key inputs outputs #:allow-other-keys) + (let* ((out (assoc-ref outputs "out")) + (wrapper (string-append out "/bin/weka"))) + (mkdir-p (string-append out "/bin")) + (with-output-to-file wrapper + (lambda _ + (display + (string-append + "#!/bin/sh\n\n" + (assoc-ref inputs "jre") "/bin/java -jar " + out "/share/weka/weka.jar \"$@\"\n")))) + (chmod wrapper #o555)) + #t))))) + (synopsis "Machine learning algorithms for data mining tasks") + (description + "Weka is a collection of machine learning algorithms in Java. +It contains tools for data preparation, classification, regression, +clustering, association rules mining, and visualization.") + (home-page "https://www.cs.waikato.ac.nz/ml/weka/") + (license license:gpl3+)))