spark-instrumented-optimizer/mllib
Huaxin Gao 383f5e9cbe [SPARK-32310][ML][PYSPARK] ML params default value parity in classification, regression, clustering and fpm
### What changes were proposed in this pull request?
set params default values in trait ...Params in both Scala and Python.
I will do this in two PRs. I will change classification, regression, clustering and fpm in this PR. Will change the rest in another PR.

### Why are the changes needed?
Make ML has the same default param values between estimator and its corresponding transformer, and also between Scala and Python.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Existing tests

Closes #29112 from huaxingao/set_default.

Authored-by: Huaxin Gao <huaxing@us.ibm.com>
Signed-off-by: Huaxin Gao <huaxing@us.ibm.com>
2020-07-16 11:12:29 -07:00
..
benchmarks [SPARK-29297][TESTS] Compare core/mllib module benchmarks in JDK8/11 2019-09-29 21:43:58 -07:00
src [SPARK-32310][ML][PYSPARK] ML params default value parity in classification, regression, clustering and fpm 2020-07-16 11:12:29 -07:00
pom.xml [SPARK-30950][BUILD] Setting version to 3.1.0-SNAPSHOT 2020-02-25 19:44:31 -08:00