Github user HuJiayin commented on the pull request:
https://github.com/apache/spark/pull/9794#issuecomment-19064
ok!!
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Github user jkbradley commented on the pull request:
https://github.com/apache/spark/pull/9794#issuecomment-196665339
Very cool, thanks! I'll check it out.
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Github user HuJiayin commented on the pull request:
https://github.com/apache/spark/pull/9794#issuecomment-196132382
@jkbradley I upload the continuous works at
https://github.com/Intel-bigdata/CRF Thanks very much.
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Github user HuJiayin closed the pull request at:
https://github.com/apache/spark/pull/9794
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GitHub user HuJiayin reopened a pull request:
https://github.com/apache/spark/pull/9794
[SPARK-4036][MLlib]Add Conditional Random Fields (CRF) algorithm to Spark
MLlib
Conditional random fields (CRFs) are a class of statistical modelling
method often applied in pattern recognition
Github user jkbradley commented on the pull request:
https://github.com/apache/spark/pull/9794#issuecomment-169103860
@HuJiayin I just commented on the JIRA about this, but could we please
close this issue for now? We won't be able to get it into MLlib soon.
However, you should
Github user HuJiayin closed the pull request at:
https://github.com/apache/spark/pull/9794
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Github user HuJiayin commented on the pull request:
https://github.com/apache/spark/pull/9794#issuecomment-161907963
@Lewuathe It is integrated with Spark. The multiple threads are at executor
sides for segments parallel.
cc @mengxr
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Github user HuJiayin commented on the pull request:
https://github.com/apache/spark/pull/9794#issuecomment-158318631
@Lewuathe Thanks! I will use Spark API to write a wrapper for it. Then it
can use Spark's advantage. The multiple threads you asked will be run in
executor side not
Github user Lewuathe commented on a diff in the pull request:
https://github.com/apache/spark/pull/9794#discussion_r45423693
--- Diff: mllib/src/main/scala/org/apache/spark/ml/nlp/CRF.scala ---
@@ -0,0 +1,173 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under
Github user Lewuathe commented on a diff in the pull request:
https://github.com/apache/spark/pull/9794#discussion_r45423796
--- Diff: mllib/src/test/scala/org/apache/spark/ml/nlp/CRFTests.scala ---
@@ -0,0 +1,27 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF)
Github user Lewuathe commented on a diff in the pull request:
https://github.com/apache/spark/pull/9794#discussion_r45424372
--- Diff: mllib/src/main/scala/org/apache/spark/ml/nlp/lbfgs.scala ---
@@ -0,0 +1,281 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF)
Github user Lewuathe commented on a diff in the pull request:
https://github.com/apache/spark/pull/9794#discussion_r45423615
--- Diff: mllib/src/main/scala/org/apache/spark/ml/nlp/CRF.scala ---
@@ -0,0 +1,173 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under
Github user Lewuathe commented on a diff in the pull request:
https://github.com/apache/spark/pull/9794#discussion_r45424677
--- Diff: mllib/src/main/scala/org/apache/spark/ml/nlp/lbfgs.scala ---
@@ -0,0 +1,281 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF)
Github user Lewuathe commented on the pull request:
https://github.com/apache/spark/pull/9794#issuecomment-158247811
@HuJiayin Thank you for sharing your patch.
Overall this code seems written in standalone application not integrated
Spark MLlib/ML.
So could you try to
Github user HuJiayin commented on a diff in the pull request:
https://github.com/apache/spark/pull/9794#discussion_r45425805
--- Diff: mllib/src/test/scala/org/apache/spark/ml/nlp/CRFTests.scala ---
@@ -0,0 +1,27 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF)
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