[jira] [Created] (SPARK-20462) Spark-Kinesis Direct Connector
Lauren Moos created SPARK-20462: --- Summary: Spark-Kinesis Direct Connector Key: SPARK-20462 URL: https://issues.apache.org/jira/browse/SPARK-20462 Project: Spark Issue Type: New Feature Components: Input/Output Affects Versions: 2.1.0 Reporter: Lauren Moos I'd like to propose and the vet the design for a direct connector between Spark and Kinesis. -- This message was sent by Atlassian JIRA (v6.3.15#6346) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Created] (SPARK-18165) Kinesis support in Structured Streaming
Lauren Moos created SPARK-18165: --- Summary: Kinesis support in Structured Streaming Key: SPARK-18165 URL: https://issues.apache.org/jira/browse/SPARK-18165 Project: Spark Issue Type: New Feature Components: Streaming Reporter: Lauren Moos Implement Kinesis based sources and sinks for Structured Streaming -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-10759) Missing Python code example in ML Programming guide
[ https://issues.apache.org/jira/browse/SPARK-10759?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14903263#comment-14903263 ] Lauren Moos commented on SPARK-10759: - I can work on this > Missing Python code example in ML Programming guide > --- > > Key: SPARK-10759 > URL: https://issues.apache.org/jira/browse/SPARK-10759 > Project: Spark > Issue Type: Improvement > Components: Documentation >Affects Versions: 1.5.0 >Reporter: Raela Wang >Priority: Minor > > http://spark.apache.org/docs/latest/ml-guide.html#example-model-selection-via-cross-validation > http://spark.apache.org/docs/latest/ml-guide.html#example-model-selection-via-train-validation-split -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-10333) Add user guide for linear-methods.md columns
[ https://issues.apache.org/jira/browse/SPARK-10333?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14903448#comment-14903448 ] Lauren Moos commented on SPARK-10333: - I'd be happy to work on this > Add user guide for linear-methods.md columns > > > Key: SPARK-10333 > URL: https://issues.apache.org/jira/browse/SPARK-10333 > Project: Spark > Issue Type: Documentation > Components: ML >Reporter: Feynman Liang >Priority: Minor > > Add example code to document input output columns based on > https://github.com/apache/spark/pull/8491 feedback -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-10409) Multilayer perceptron regression
[ https://issues.apache.org/jira/browse/SPARK-10409?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14903553#comment-14903553 ] Lauren Moos commented on SPARK-10409: - no problem! > Multilayer perceptron regression > > > Key: SPARK-10409 > URL: https://issues.apache.org/jira/browse/SPARK-10409 > Project: Spark > Issue Type: Improvement > Components: ML >Affects Versions: 1.5.0 >Reporter: Alexander Ulanov >Priority: Minor > > Implement regression based on multilayer perceptron (MLP). It should support > different kinds of outputs: binary, real in [0;1) and real in [-inf; +inf]. > The implementation might take advantage of autoencoder. Time-series > forecasting for financial data might be one of the use cases, see > http://dl.acm.org/citation.cfm?id=561452. So there is the need for more > specific requirements from this (or other) area. -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-10409) Multilayer perceptron regression
[ https://issues.apache.org/jira/browse/SPARK-10409?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14903451#comment-14903451 ] Lauren Moos commented on SPARK-10409: - I'd be happy to work on this > Multilayer perceptron regression > > > Key: SPARK-10409 > URL: https://issues.apache.org/jira/browse/SPARK-10409 > Project: Spark > Issue Type: Improvement > Components: ML >Affects Versions: 1.5.0 >Reporter: Alexander Ulanov >Priority: Minor > > Implement regression based on multilayer perceptron (MLP). It should support > different kinds of outputs: binary, real in [0;1) and real in [-inf; +inf]. > The implementation might take advantage of autoencoder. Time-series > forecasting for financial data might be one of the use cases, see > http://dl.acm.org/citation.cfm?id=561452. So there is the need for more > specific requirements from this (or other) area. -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
