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--- Diff: doc/design/modules/neural-network.tex ---
@@ -22,15 +22,16 @@
\chapter{Neural Network}
\begin{moduleinfo}
-\item
Github user haying commented on a diff in the pull request:
https://github.com/apache/incubator-madlib/pull/149#discussion_r127072514
--- Diff: src/modules/convex/mlp_igd.cpp ---
@@ -0,0 +1,260 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or
Github user haying commented on a diff in the pull request:
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--- Diff: src/ports/postgres/dbconnector/TypeTraits_impl.hpp ---
@@ -750,6 +784,30 @@ struct
TypeTraits {
);
};
+template
Github user haying commented on the issue:
https://github.com/apache/incubator-madlib/pull/75
I suggest to document these in user doc.
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Github user haying commented on the issue:
https://github.com/apache/incubator-madlib/pull/75
Hi Xiaocheng,
Thanks for the explanation. It is good to know that it usually converges
without much tuning. I would definitely try it out.
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Github user haying commented on the issue:
https://github.com/apache/incubator-madlib/pull/75
I am not so sure about the technical details about convergence behavior of
this algorithm. But it seems to me that it could be beneficial to expose the
gradient so that users can do
Github user haying commented on a diff in the pull request:
https://github.com/apache/incubator-madlib/pull/75#discussion_r87922091
--- Diff: src/modules/convex/algo/igd.hpp ---
@@ -86,6 +101,32 @@ IGD::merge(state_type &state,
template
void
+IGD::mergeInP
Github user haying commented on a diff in the pull request:
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--- Diff: src/modules/convex/algo/igd.hpp ---
@@ -86,6 +101,32 @@ IGD::merge(state_type &state,
template
void
+IGD::mergeInP
Github user haying commented on a diff in the pull request:
https://github.com/apache/incubator-madlib/pull/10#discussion_r48407523
--- Diff: methods/array_ops/src/pg_gp/array_ops.sql_in ---
@@ -481,6 +481,18 @@ m4_ifdef(`__HAS_FUNCTION_PROPERTIES__', `NO SQL', `');
