From 60b1102a4973c2c5df08d0b6a83da37f2a9a79db Mon Sep 17 00:00:00 2001 From: Jonathan Berant Date: Mon, 3 Apr 2017 15:08:46 +0300 Subject: [PATCH] minor --- run | 2 +- src/edu/stanford/nlp/sempre/ReinforcementParser.java | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/run b/run index 2b58b9e..82e67cc 100755 --- a/run +++ b/run @@ -711,7 +711,7 @@ addMode('tables', 'QA on HTML tables', lambda { |e| l( l( o('combineFromFloatingParser'), sel(:unseen, unbalancedTrainDevSplit, l()), - o('maxTrainIters', 3), + o('Learner.maxTrainIters', 3), o('showValues', false), o('showFirstValue'), nil), l( diff --git a/src/edu/stanford/nlp/sempre/ReinforcementParser.java b/src/edu/stanford/nlp/sempre/ReinforcementParser.java index 107d82c..f45a0c8 100644 --- a/src/edu/stanford/nlp/sempre/ReinforcementParser.java +++ b/src/edu/stanford/nlp/sempre/ReinforcementParser.java @@ -342,7 +342,7 @@ final class ReinforcementParserState extends AbstractReinforcementParserState { sampledDerivation.incrementLocalFeatureVector(-pdsAndProbability.getFirst().probSum, counts); if (parser.verbose(3)) SempreUtils.logMap(counts, "agenda item gradient"); - ReinforcementUtils.addToDoubleMap(stateSequenceExpectedCounts, counts, parser.searchPrefix); // upate the gradient incrementally + ReinforcementUtils.addToDoubleMap(stateSequenceExpectedCounts, counts, parser.searchPrefix); // update the gradient incrementally } // only after update of params we can change the chart and the agenda if (addToBoundedChart(sampledDerivation)) {