GitHub user iyerr3 opened a pull request:
https://github.com/apache/madlib/pull/251
MLP: Simplify initialization of model coefficients
Changes:
1. Model initialization now happens in the C++ code instead of being
passed via Python.
2. Warm start coefficients are
Github user asfgit closed the pull request at:
https://github.com/apache/madlib/pull/249
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Github user asfgit closed the pull request at:
https://github.com/apache/madlib/pull/246
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Github user kaknikhil commented on the issue:
https://github.com/apache/madlib/pull/249
The changes look good. +1 for adding an install check test.
I noticed that `con_features` is populated by
`decision_tree.py:_classify_features` which does something like `con_types =
Github user iyerr3 commented on a diff in the pull request:
https://github.com/apache/madlib/pull/248#discussion_r177503935
--- Diff:
src/ports/postgres/modules/recursive_partitioning/decision_tree.py_in ---
@@ -970,16 +970,35 @@ def _get_bins_grps(
Github user njayaram2 commented on a diff in the pull request:
https://github.com/apache/madlib/pull/248#discussion_r177495864
--- Diff:
src/ports/postgres/modules/recursive_partitioning/decision_tree.py_in ---
@@ -970,16 +970,35 @@ def _get_bins_grps(