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[ML] Use gcc 10.3 Docker image for Jupyter Dockerfile #2032

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2 changes: 1 addition & 1 deletion jupyter/docker/Dockerfile
Original file line number Diff line number Diff line change
Expand Up @@ -7,7 +7,7 @@
# compliance with the Elastic License 2.0 and the foregoing additional
# limitation.

FROM docker.elastic.co/ml-dev/ml-linux-build:17 as builder
FROM docker.elastic.co/ml-dev/ml-linux-build:19 as builder

RUN yum install -y epel-release && \
yum install -y ccache
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2 changes: 1 addition & 1 deletion lib/maths/CBoostedTreeLeafNodeStatistics.cc
Original file line number Diff line number Diff line change
Expand Up @@ -11,9 +11,9 @@

#include <maths/CBoostedTreeLeafNodeStatistics.h>

#include <core/CMemory.h>
#include <core/CDataFrame.h>
#include <core/CLogger.h>
#include <core/CMemory.h>

#include <maths/CBoostedTree.h>
#include <maths/CDataFrameCategoryEncoder.h>
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2 changes: 1 addition & 1 deletion lib/maths/unittest/CDataFrameUtilsTest.cc
Original file line number Diff line number Diff line change
Expand Up @@ -1490,7 +1490,7 @@ BOOST_AUTO_TEST_CASE(testMaximumMinimumRecallClassWeights) {
LOG_DEBUG(<< "max recalls = " << core::CContainerPrinter::print(maxRecalls));

// Threaded and non-threaded results are close.
BOOST_REQUIRE_CLOSE(minRecalls[0][0], minRecalls[1][0], 1.0); // 1 %
BOOST_REQUIRE_CLOSE(minRecalls[0][0], minRecalls[1][0], 1.5); // 1.5 %

// We improved the minimum class recall by at least 10%.
BOOST_TEST_REQUIRE(minRecalls[0][0] > 1.1 * minRecalls[0][1]);
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