[jira] [Updated] (SPARK-4587) Model export/import
[ https://issues.apache.org/jira/browse/SPARK-4587?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Xiangrui Meng updated SPARK-4587: - Issue Type: Umbrella (was: New Feature) Model export/import --- Key: SPARK-4587 URL: https://issues.apache.org/jira/browse/SPARK-4587 Project: Spark Issue Type: Umbrella Components: ML, MLlib Reporter: Xiangrui Meng Assignee: Joseph K. Bradley Priority: Critical This is an umbrella JIRA for one of the most requested features on the user mailing list. Model export/import can be done via Java serialization. But it doesn't work for models stored distributively, e.g., ALS and LDA. Ideally, we should provide save/load methods to every model. PMML is an option but it has its limitations. There are couple things we need to discuss: 1) data format, 2) how to preserve partitioning, 3) data compatibility between versions and language APIs, etc. UPDATE: [Design doc for model import/export | https://docs.google.com/document/d/1kABFz1ssKJxLGMkboreSl3-I2CdLAOjNh5IQCrnDN3g/edit?usp=sharing] This document sketches machine learning model import/export plans, including goals, an API, and development plans. UPDATE: As in the design doc, we plan to support: * Our own Spark-specific format. ** This is needed to (a) support distributed models and (b) get model import/export support into Spark quickly (while avoiding the complexity of PMML). * PMML ** This is needed since it is the most commonly used format in industry. This JIRA will be for the internal Spark-specific format described in the design doc. Parallel JIRAs will cover PMML. -- 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] [Updated] (SPARK-4587) Model export/import
[ https://issues.apache.org/jira/browse/SPARK-4587?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Xiangrui Meng updated SPARK-4587: - Target Version/s: (was: 1.3.0) Model export/import --- Key: SPARK-4587 URL: https://issues.apache.org/jira/browse/SPARK-4587 Project: Spark Issue Type: New Feature Components: ML, MLlib Reporter: Xiangrui Meng Assignee: Joseph K. Bradley Priority: Critical This is an umbrella JIRA for one of the most requested features on the user mailing list. Model export/import can be done via Java serialization. But it doesn't work for models stored distributively, e.g., ALS and LDA. Ideally, we should provide save/load methods to every model. PMML is an option but it has its limitations. There are couple things we need to discuss: 1) data format, 2) how to preserve partitioning, 3) data compatibility between versions and language APIs, etc. UPDATE: [Design doc for model import/export | https://docs.google.com/document/d/1kABFz1ssKJxLGMkboreSl3-I2CdLAOjNh5IQCrnDN3g/edit?usp=sharing] This document sketches machine learning model import/export plans, including goals, an API, and development plans. UPDATE: As in the design doc, we plan to support: * Our own Spark-specific format. ** This is needed to (a) support distributed models and (b) get model import/export support into Spark quickly (while avoiding the complexity of PMML). * PMML ** This is needed since it is the most commonly used format in industry. This JIRA will be for the internal Spark-specific format described in the design doc. Parallel JIRAs will cover PMML. -- 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] [Updated] (SPARK-4587) Model export/import
[ https://issues.apache.org/jira/browse/SPARK-4587?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Joseph K. Bradley updated SPARK-4587: - Description: This is an umbrella JIRA for one of the most requested features on the user mailing list. Model export/import can be done via Java serialization. But it doesn't work for models stored distributively, e.g., ALS and LDA. Ideally, we should provide save/load methods to every model. PMML is an option but it has its limitations. There are couple things we need to discuss: 1) data format, 2) how to preserve partitioning, 3) data compatibility between versions and language APIs, etc. UPDATE: [Design doc for model import/export | https://docs.google.com/document/d/1kABFz1ssKJxLGMkboreSl3-I2CdLAOjNh5IQCrnDN3g/edit?usp=sharing] This document sketches machine learning model import/export plans, including goals, an API, and development plans. UPDATE: As in the design doc, we plan to support: * Our own Spark-specific format. ** This is needed to (a) support distributed models and (b) get model import/export support into Spark quickly (while avoiding the complexity of PMML). * PMML ** This is needed since it is the most commonly used format in industry. This JIRA will be for the internal Spark-specific format described in the design doc. Parallel JIRAs will cover PMML. was: This is an umbrella JIRA for one of the most requested features on the user mailing list. Model export/import can be done via Java serialization. But it doesn't work for models stored distributively, e.g., ALS and LDA. Ideally, we should provide save/load methods to every model. PMML is an option but it has its limitations. There are couple things we need to discuss: 1) data format, 2) how to preserve partitioning, 3) data compatibility between versions and language APIs, etc. UPDATE: [Design doc for model import/export | https://docs.google.com/document/d/1kABFz1ssKJxLGMkboreSl3-I2CdLAOjNh5IQCrnDN3g/edit?usp=sharing] This document sketches machine learning model import/export plans, including goals, an API, and development plans. The design doc proposes: * Support our own Spark-specific format. ** This is needed to (a) support distributed models and (b) get model import/export support into Spark quickly (while avoiding new dependencies). * Also support PMML ** This is needed since it is the only thing approaching an industry standard. Model export/import --- Key: SPARK-4587 URL: https://issues.apache.org/jira/browse/SPARK-4587 Project: Spark Issue Type: New Feature Components: ML, MLlib Reporter: Xiangrui Meng Assignee: Joseph K. Bradley Priority: Critical This is an umbrella JIRA for one of the most requested features on the user mailing list. Model export/import can be done via Java serialization. But it doesn't work for models stored distributively, e.g., ALS and LDA. Ideally, we should provide save/load methods to every model. PMML is an option but it has its limitations. There are couple things we need to discuss: 1) data format, 2) how to preserve partitioning, 3) data compatibility between versions and language APIs, etc. UPDATE: [Design doc for model import/export | https://docs.google.com/document/d/1kABFz1ssKJxLGMkboreSl3-I2CdLAOjNh5IQCrnDN3g/edit?usp=sharing] This document sketches machine learning model import/export plans, including goals, an API, and development plans. UPDATE: As in the design doc, we plan to support: * Our own Spark-specific format. ** This is needed to (a) support distributed models and (b) get model import/export support into Spark quickly (while avoiding the complexity of PMML). * PMML ** This is needed since it is the most commonly used format in industry. This JIRA will be for the internal Spark-specific format described in the design doc. Parallel JIRAs will cover PMML. -- 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] [Updated] (SPARK-4587) Model export/import
[ https://issues.apache.org/jira/browse/SPARK-4587?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Xiangrui Meng updated SPARK-4587: - Assignee: Joseph K. Bradley Model export/import --- Key: SPARK-4587 URL: https://issues.apache.org/jira/browse/SPARK-4587 Project: Spark Issue Type: New Feature Components: ML, MLlib Reporter: Xiangrui Meng Assignee: Joseph K. Bradley Priority: Critical This is an umbrella JIRA for one of the most requested features on the user mailing list. Model export/import can be done via Java serialization. But it doesn't work for models stored distributively, e.g., ALS and LDA. Ideally, we should provide save/load methods to every model. PMML is an option but it has its limitations. There are couple things we need to discuss: 1) data format, 2) how to preserve partitioning, 3) data compatibility between versions and language APIs, etc. UPDATE: [Design doc for model import/export | https://docs.google.com/document/d/1kABFz1ssKJxLGMkboreSl3-I2CdLAOjNh5IQCrnDN3g/edit?usp=sharing] This document sketches machine learning model import/export plans, including goals, an API, and development plans. The design doc proposes: * Support our own Spark-specific format. ** This is needed to (a) support distributed models and (b) get model import/export support into Spark quickly (while avoiding new dependencies). * Also support PMML ** This is needed since it is the only thing approaching an industry standard. -- 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] [Updated] (SPARK-4587) Model export/import
[ https://issues.apache.org/jira/browse/SPARK-4587?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Joseph K. Bradley updated SPARK-4587: - Description: This is an umbrella JIRA for one of the most requested features on the user mailing list. Model export/import can be done via Java serialization. But it doesn't work for models stored distributively, e.g., ALS and LDA. Ideally, we should provide save/load methods to every model. PMML is an option but it has its limitations. There are couple things we need to discuss: 1) data format, 2) how to preserve partitioning, 3) data compatibility between versions and language APIs, etc. UPDATE: [Design doc for model import/export | https://docs.google.com/document/d/1kABFz1ssKJxLGMkboreSl3-I2CdLAOjNh5IQCrnDN3g/edit?usp=sharing] This document sketches machine learning model import/export plans, including goals, an API, and development plans. The design doc proposes: * Support our own Spark-specific format. ** This is needed to (a) support distributed models and (b) get model import/export support into Spark quickly (while avoiding new dependencies). * Also support PMML ** This is needed since it is the only thing approaching an industry standard. was:This is an umbrella JIRA for one of the most requested features on the user mailing list. Model export/import can be done via Java serialization. But it doesn't work for models stored distributively, e.g., ALS and LDA. Ideally, we should provide save/load methods to every model. PMML is an option but it has its limitations. There are couple things we need to discuss: 1) data format, 2) how to preserve partitioning, 3) data compatibility between versions and language APIs, etc. Model export/import --- Key: SPARK-4587 URL: https://issues.apache.org/jira/browse/SPARK-4587 Project: Spark Issue Type: New Feature Components: ML, MLlib Reporter: Xiangrui Meng Priority: Critical This is an umbrella JIRA for one of the most requested features on the user mailing list. Model export/import can be done via Java serialization. But it doesn't work for models stored distributively, e.g., ALS and LDA. Ideally, we should provide save/load methods to every model. PMML is an option but it has its limitations. There are couple things we need to discuss: 1) data format, 2) how to preserve partitioning, 3) data compatibility between versions and language APIs, etc. UPDATE: [Design doc for model import/export | https://docs.google.com/document/d/1kABFz1ssKJxLGMkboreSl3-I2CdLAOjNh5IQCrnDN3g/edit?usp=sharing] This document sketches machine learning model import/export plans, including goals, an API, and development plans. The design doc proposes: * Support our own Spark-specific format. ** This is needed to (a) support distributed models and (b) get model import/export support into Spark quickly (while avoiding new dependencies). * Also support PMML ** This is needed since it is the only thing approaching an industry standard. -- 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
