mirror of
https://github.com/macports/macports-ports.git
synced 2026-07-12 18:20:25 -07:00
43 lines
1.7 KiB
Diff
43 lines
1.7 KiB
Diff
--- bin/mallet
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+++ bin/mallet 2019-07-23 16:22:30.000000000 -0400
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@@ -1,13 +1,11 @@
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#!/bin/bash
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+malletdir=@MALLETDIR@
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-malletdir=`dirname $0`
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-malletdir=`dirname $malletdir`
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-
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-cp=$malletdir/class:$malletdir/lib/mallet-deps.jar:$CLASSPATH
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+cp=$malletdir/mallet.jar:$malletdir/mallet-deps.jar:$CLASSPATH
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#echo $cp
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-MEMORY=1g
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+MEMORY=${MALLET_MEMORY:-1g}
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CMD=$1
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shift
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@@ -25,12 +23,14 @@
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classify-dir classify data from a single file with a saved classifier
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classify-file classify the contents of a directory with a saved classifier
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classify-svmlight classify data from a single file in SVMLight format
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+ tag train, test, or run a generic CRF-based tagger
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train-topics train a topic model from Mallet data files
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infer-topics use a trained topic model to infer topics for new documents
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evaluate-topics estimate the probability of new documents under a trained model
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prune remove features based on frequency or information gain
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split divide data into testing, training, and validation portions
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bulk-load for big input files, efficiently prune vocabulary and import docs
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+ run run the main method of the specified class
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Include --help with any option for more information
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EOF
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@@ -47,6 +47,7 @@
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classify-dir) CLASS=cc.mallet.classify.tui.Text2Classify;;
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classify-file) CLASS=cc.mallet.classify.tui.Csv2Classify;;
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classify-svmlight) CLASS=cc.mallet.classify.tui.SvmLight2Classify;;
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+ tag) CLASS=cc.mallet.fst.SimpleTagger;;
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train-topics) CLASS=cc.mallet.topics.tui.TopicTrainer;;
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infer-topics) CLASS=cc.mallet.topics.tui.InferTopics;;
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evaluate-topics) CLASS=cc.mallet.topics.tui.EvaluateTopics;;
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