Is a python binding for LBFGS in the works? My co-worker has written one
and can contribute back if it helps.
On Mon, Jun 16, 2014 at 11:00 AM, DB Tsai dbt...@stanford.edu wrote:
Is your data normalized? Sometimes, GD doesn't work well if the data
has wide range. If you are willing to write
There is no python binding for LBFGS. Feel free to submit a PR.
Sincerely,
DB Tsai
---
My Blog: https://www.dbtsai.com
LinkedIn: https://www.linkedin.com/in/dbtsai
On Wed, Jun 25, 2014 at 1:41 PM, Mohit Jaggi mohitja...@gmail.com wrote:
Is a
Here is my conversation about the same issue with regression methods:
https://issues.apache.org/jira/browse/SPARK-1859
--
View this message in context:
http://apache-spark-user-list.1001560.n3.nabble.com/pyspark-regression-results-way-off-tp7672p8139.html
Sent from the Apache Spark User List
Thanks, will try normalising it.
--
View this message in context:
http://apache-spark-user-list.1001560.n3.nabble.com/pyspark-regression-results-way-off-tp7672p7720.html
Sent from the Apache Spark User List mailing list archive at Nabble.com.
forgot to mention that I'm running spark 1.0
--
View this message in context:
http://apache-spark-user-list.1001560.n3.nabble.com/pyspark-regression-results-way-off-tp7672p7673.html
Sent from the Apache Spark User List mailing list archive at Nabble.com.
Is your data normalized? Sometimes, GD doesn't work well if the data
has wide range. If you are willing to write scala code, you can try
LBFGS optimizer which converges better than GD.
Sincerely,
DB Tsai
---
My Blog: https://www.dbtsai.com
