[jira] [Assigned] (SPARK-21729) Generic test for ProbabilisticClassifier to ensure consistent output columns
[ https://issues.apache.org/jira/browse/SPARK-21729?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Joseph K. Bradley reassigned SPARK-21729: - Assignee: Weichen Xu > Generic test for ProbabilisticClassifier to ensure consistent output columns > > > Key: SPARK-21729 > URL: https://issues.apache.org/jira/browse/SPARK-21729 > Project: Spark > Issue Type: Test > Components: ML >Affects Versions: 2.2.0 >Reporter: Joseph K. Bradley >Assignee: Weichen Xu > > One challenge with the ProbabilisticClassifier abstraction is that it > introduces different code paths for predictions depending on which output > columns are turned on or off: probability, rawPrediction, prediction. We ran > into a bug in MLOR with this. > This task is for adding a generic test usable in all test suites for > ProbabilisticClassifier types which does the following: > * Take a dataset + Estimator > * Fit the Estimator > * Test prediction using the model with all combinations of output columns > turned on/off. > * Make sure the output column values match, presumably by comparing vs. the > case with all 3 output columns turned on > CC [~WeichenXu123] since this came up in > https://github.com/apache/spark/pull/17373 -- This message was sent by Atlassian JIRA (v6.4.14#64029) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-21729) Generic test for ProbabilisticClassifier to ensure consistent output columns
[ https://issues.apache.org/jira/browse/SPARK-21729?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-21729: Assignee: (was: Apache Spark) > Generic test for ProbabilisticClassifier to ensure consistent output columns > > > Key: SPARK-21729 > URL: https://issues.apache.org/jira/browse/SPARK-21729 > Project: Spark > Issue Type: Test > Components: ML >Affects Versions: 2.2.0 >Reporter: Joseph K. Bradley > > One challenge with the ProbabilisticClassifier abstraction is that it > introduces different code paths for predictions depending on which output > columns are turned on or off: probability, rawPrediction, prediction. We ran > into a bug in MLOR with this. > This task is for adding a generic test usable in all test suites for > ProbabilisticClassifier types which does the following: > * Take a dataset + Estimator > * Fit the Estimator > * Test prediction using the model with all combinations of output columns > turned on/off. > * Make sure the output column values match, presumably by comparing vs. the > case with all 3 output columns turned on > CC [~WeichenXu123] since this came up in > https://github.com/apache/spark/pull/17373 -- This message was sent by Atlassian JIRA (v6.4.14#64029) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-21729) Generic test for ProbabilisticClassifier to ensure consistent output columns
[ https://issues.apache.org/jira/browse/SPARK-21729?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-21729: Assignee: Apache Spark > Generic test for ProbabilisticClassifier to ensure consistent output columns > > > Key: SPARK-21729 > URL: https://issues.apache.org/jira/browse/SPARK-21729 > Project: Spark > Issue Type: Test > Components: ML >Affects Versions: 2.2.0 >Reporter: Joseph K. Bradley >Assignee: Apache Spark > > One challenge with the ProbabilisticClassifier abstraction is that it > introduces different code paths for predictions depending on which output > columns are turned on or off: probability, rawPrediction, prediction. We ran > into a bug in MLOR with this. > This task is for adding a generic test usable in all test suites for > ProbabilisticClassifier types which does the following: > * Take a dataset + Estimator > * Fit the Estimator > * Test prediction using the model with all combinations of output columns > turned on/off. > * Make sure the output column values match, presumably by comparing vs. the > case with all 3 output columns turned on > CC [~WeichenXu123] since this came up in > https://github.com/apache/spark/pull/17373 -- This message was sent by Atlassian JIRA (v6.4.14#64029) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-21729) Generic test for ProbabilisticClassifier to ensure consistent output columns
[ https://issues.apache.org/jira/browse/SPARK-21729?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-21729: Assignee: Apache Spark > Generic test for ProbabilisticClassifier to ensure consistent output columns > > > Key: SPARK-21729 > URL: https://issues.apache.org/jira/browse/SPARK-21729 > Project: Spark > Issue Type: Test > Components: ML >Affects Versions: 2.2.0 >Reporter: Joseph K. Bradley >Assignee: Apache Spark > > One challenge with the ProbabilisticClassifier abstraction is that it > introduces different code paths for predictions depending on which output > columns are turned on or off: probability, rawPrediction, prediction. We ran > into a bug in MLOR with this. > This task is for adding a generic test usable in all test suites for > ProbabilisticClassifier types which does the following: > * Take a dataset + Estimator > * Fit the Estimator > * Test prediction using the model with all combinations of output columns > turned on/off. > * Make sure the output column values match, presumably by comparing vs. the > case with all 3 output columns turned on > CC [~WeichenXu123] since this came up in > https://github.com/apache/spark/pull/17373 -- This message was sent by Atlassian JIRA (v6.4.14#64029) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-21729) Generic test for ProbabilisticClassifier to ensure consistent output columns
[ https://issues.apache.org/jira/browse/SPARK-21729?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-21729: Assignee: (was: Apache Spark) > Generic test for ProbabilisticClassifier to ensure consistent output columns > > > Key: SPARK-21729 > URL: https://issues.apache.org/jira/browse/SPARK-21729 > Project: Spark > Issue Type: Test > Components: ML >Affects Versions: 2.2.0 >Reporter: Joseph K. Bradley > > One challenge with the ProbabilisticClassifier abstraction is that it > introduces different code paths for predictions depending on which output > columns are turned on or off: probability, rawPrediction, prediction. We ran > into a bug in MLOR with this. > This task is for adding a generic test usable in all test suites for > ProbabilisticClassifier types which does the following: > * Take a dataset + Estimator > * Fit the Estimator > * Test prediction using the model with all combinations of output columns > turned on/off. > * Make sure the output column values match, presumably by comparing vs. the > case with all 3 output columns turned on > CC [~WeichenXu123] since this came up in > https://github.com/apache/spark/pull/17373 -- This message was sent by Atlassian JIRA (v6.4.14#64029) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-21729) Generic test for ProbabilisticClassifier to ensure consistent output columns
[ https://issues.apache.org/jira/browse/SPARK-21729?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-21729: Assignee: (was: Apache Spark) > Generic test for ProbabilisticClassifier to ensure consistent output columns > > > Key: SPARK-21729 > URL: https://issues.apache.org/jira/browse/SPARK-21729 > Project: Spark > Issue Type: Test > Components: ML >Affects Versions: 2.2.0 >Reporter: Joseph K. Bradley > > One challenge with the ProbabilisticClassifier abstraction is that it > introduces different code paths for predictions depending on which output > columns are turned on or off: probability, rawPrediction, prediction. We ran > into a bug in MLOR with this. > This task is for adding a generic test usable in all test suites for > ProbabilisticClassifier types which does the following: > * Take a dataset + Estimator > * Fit the Estimator > * Test prediction using the model with all combinations of output columns > turned on/off. > * Make sure the output column values match, presumably by comparing vs. the > case with all 3 output columns turned on > CC [~WeichenXu123] since this came up in > https://github.com/apache/spark/pull/17373 -- This message was sent by Atlassian JIRA (v6.4.14#64029) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-21729) Generic test for ProbabilisticClassifier to ensure consistent output columns
[ https://issues.apache.org/jira/browse/SPARK-21729?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-21729: Assignee: Apache Spark > Generic test for ProbabilisticClassifier to ensure consistent output columns > > > Key: SPARK-21729 > URL: https://issues.apache.org/jira/browse/SPARK-21729 > Project: Spark > Issue Type: Test > Components: ML >Affects Versions: 2.2.0 >Reporter: Joseph K. Bradley >Assignee: Apache Spark > > One challenge with the ProbabilisticClassifier abstraction is that it > introduces different code paths for predictions depending on which output > columns are turned on or off: probability, rawPrediction, prediction. We ran > into a bug in MLOR with this. > This task is for adding a generic test usable in all test suites for > ProbabilisticClassifier types which does the following: > * Take a dataset + Estimator > * Fit the Estimator > * Test prediction using the model with all combinations of output columns > turned on/off. > * Make sure the output column values match, presumably by comparing vs. the > case with all 3 output columns turned on > CC [~WeichenXu123] since this came up in > https://github.com/apache/spark/pull/17373 -- This message was sent by Atlassian JIRA (v6.4.14#64029) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-21729) Generic test for ProbabilisticClassifier to ensure consistent output columns
[ https://issues.apache.org/jira/browse/SPARK-21729?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-21729: Assignee: Apache Spark > Generic test for ProbabilisticClassifier to ensure consistent output columns > > > Key: SPARK-21729 > URL: https://issues.apache.org/jira/browse/SPARK-21729 > Project: Spark > Issue Type: Test > Components: ML >Affects Versions: 2.2.0 >Reporter: Joseph K. Bradley >Assignee: Apache Spark > > One challenge with the ProbabilisticClassifier abstraction is that it > introduces different code paths for predictions depending on which output > columns are turned on or off: probability, rawPrediction, prediction. We ran > into a bug in MLOR with this. > This task is for adding a generic test usable in all test suites for > ProbabilisticClassifier types which does the following: > * Take a dataset + Estimator > * Fit the Estimator > * Test prediction using the model with all combinations of output columns > turned on/off. > * Make sure the output column values match, presumably by comparing vs. the > case with all 3 output columns turned on > CC [~WeichenXu123] since this came up in > https://github.com/apache/spark/pull/17373 -- This message was sent by Atlassian JIRA (v6.4.14#64029) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-21729) Generic test for ProbabilisticClassifier to ensure consistent output columns
[ https://issues.apache.org/jira/browse/SPARK-21729?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-21729: Assignee: (was: Apache Spark) > Generic test for ProbabilisticClassifier to ensure consistent output columns > > > Key: SPARK-21729 > URL: https://issues.apache.org/jira/browse/SPARK-21729 > Project: Spark > Issue Type: Test > Components: ML >Affects Versions: 2.2.0 >Reporter: Joseph K. Bradley > > One challenge with the ProbabilisticClassifier abstraction is that it > introduces different code paths for predictions depending on which output > columns are turned on or off: probability, rawPrediction, prediction. We ran > into a bug in MLOR with this. > This task is for adding a generic test usable in all test suites for > ProbabilisticClassifier types which does the following: > * Take a dataset + Estimator > * Fit the Estimator > * Test prediction using the model with all combinations of output columns > turned on/off. > * Make sure the output column values match, presumably by comparing vs. the > case with all 3 output columns turned on > CC [~WeichenXu123] since this came up in > https://github.com/apache/spark/pull/17373 -- This message was sent by Atlassian JIRA (v6.4.14#64029) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-21729) Generic test for ProbabilisticClassifier to ensure consistent output columns
[ https://issues.apache.org/jira/browse/SPARK-21729?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-21729: Assignee: (was: Apache Spark) > Generic test for ProbabilisticClassifier to ensure consistent output columns > > > Key: SPARK-21729 > URL: https://issues.apache.org/jira/browse/SPARK-21729 > Project: Spark > Issue Type: Test > Components: ML >Affects Versions: 2.2.0 >Reporter: Joseph K. Bradley > > One challenge with the ProbabilisticClassifier abstraction is that it > introduces different code paths for predictions depending on which output > columns are turned on or off: probability, rawPrediction, prediction. We ran > into a bug in MLOR with this. > This task is for adding a generic test usable in all test suites for > ProbabilisticClassifier types which does the following: > * Take a dataset + Estimator > * Fit the Estimator > * Test prediction using the model with all combinations of output columns > turned on/off. > * Make sure the output column values match, presumably by comparing vs. the > case with all 3 output columns turned on > CC [~WeichenXu123] since this came up in > https://github.com/apache/spark/pull/17373 -- This message was sent by Atlassian JIRA (v6.4.14#64029) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-21729) Generic test for ProbabilisticClassifier to ensure consistent output columns
[ https://issues.apache.org/jira/browse/SPARK-21729?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-21729: Assignee: Apache Spark > Generic test for ProbabilisticClassifier to ensure consistent output columns > > > Key: SPARK-21729 > URL: https://issues.apache.org/jira/browse/SPARK-21729 > Project: Spark > Issue Type: Test > Components: ML >Affects Versions: 2.2.0 >Reporter: Joseph K. Bradley >Assignee: Apache Spark > > One challenge with the ProbabilisticClassifier abstraction is that it > introduces different code paths for predictions depending on which output > columns are turned on or off: probability, rawPrediction, prediction. We ran > into a bug in MLOR with this. > This task is for adding a generic test usable in all test suites for > ProbabilisticClassifier types which does the following: > * Take a dataset + Estimator > * Fit the Estimator > * Test prediction using the model with all combinations of output columns > turned on/off. > * Make sure the output column values match, presumably by comparing vs. the > case with all 3 output columns turned on > CC [~WeichenXu123] since this came up in > https://github.com/apache/spark/pull/17373 -- This message was sent by Atlassian JIRA (v6.4.14#64029) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-21729) Generic test for ProbabilisticClassifier to ensure consistent output columns
[ https://issues.apache.org/jira/browse/SPARK-21729?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-21729: Assignee: Apache Spark > Generic test for ProbabilisticClassifier to ensure consistent output columns > > > Key: SPARK-21729 > URL: https://issues.apache.org/jira/browse/SPARK-21729 > Project: Spark > Issue Type: Test > Components: ML >Affects Versions: 2.2.0 >Reporter: Joseph K. Bradley >Assignee: Apache Spark > > One challenge with the ProbabilisticClassifier abstraction is that it > introduces different code paths for predictions depending on which output > columns are turned on or off: probability, rawPrediction, prediction. We ran > into a bug in MLOR with this. > This task is for adding a generic test usable in all test suites for > ProbabilisticClassifier types which does the following: > * Take a dataset + Estimator > * Fit the Estimator > * Test prediction using the model with all combinations of output columns > turned on/off. > * Make sure the output column values match, presumably by comparing vs. the > case with all 3 output columns turned on > CC [~WeichenXu123] since this came up in > https://github.com/apache/spark/pull/17373 -- This message was sent by Atlassian JIRA (v6.4.14#64029) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-21729) Generic test for ProbabilisticClassifier to ensure consistent output columns
[ https://issues.apache.org/jira/browse/SPARK-21729?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-21729: Assignee: (was: Apache Spark) > Generic test for ProbabilisticClassifier to ensure consistent output columns > > > Key: SPARK-21729 > URL: https://issues.apache.org/jira/browse/SPARK-21729 > Project: Spark > Issue Type: Test > Components: ML >Affects Versions: 2.2.0 >Reporter: Joseph K. Bradley > > One challenge with the ProbabilisticClassifier abstraction is that it > introduces different code paths for predictions depending on which output > columns are turned on or off: probability, rawPrediction, prediction. We ran > into a bug in MLOR with this. > This task is for adding a generic test usable in all test suites for > ProbabilisticClassifier types which does the following: > * Take a dataset + Estimator > * Fit the Estimator > * Test prediction using the model with all combinations of output columns > turned on/off. > * Make sure the output column values match, presumably by comparing vs. the > case with all 3 output columns turned on > CC [~WeichenXu123] since this came up in > https://github.com/apache/spark/pull/17373 -- This message was sent by Atlassian JIRA (v6.4.14#64029) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-21729) Generic test for ProbabilisticClassifier to ensure consistent output columns
[ https://issues.apache.org/jira/browse/SPARK-21729?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-21729: Assignee: (was: Apache Spark) > Generic test for ProbabilisticClassifier to ensure consistent output columns > > > Key: SPARK-21729 > URL: https://issues.apache.org/jira/browse/SPARK-21729 > Project: Spark > Issue Type: Test > Components: ML >Affects Versions: 2.2.0 >Reporter: Joseph K. Bradley > > One challenge with the ProbabilisticClassifier abstraction is that it > introduces different code paths for predictions depending on which output > columns are turned on or off: probability, rawPrediction, prediction. We ran > into a bug in MLOR with this. > This task is for adding a generic test usable in all test suites for > ProbabilisticClassifier types which does the following: > * Take a dataset + Estimator > * Fit the Estimator > * Test prediction using the model with all combinations of output columns > turned on/off. > * Make sure the output column values match, presumably by comparing vs. the > case with all 3 output columns turned on > CC [~WeichenXu123] since this came up in > https://github.com/apache/spark/pull/17373 -- This message was sent by Atlassian JIRA (v6.4.14#64029) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-21729) Generic test for ProbabilisticClassifier to ensure consistent output columns
[ https://issues.apache.org/jira/browse/SPARK-21729?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-21729: Assignee: Apache Spark > Generic test for ProbabilisticClassifier to ensure consistent output columns > > > Key: SPARK-21729 > URL: https://issues.apache.org/jira/browse/SPARK-21729 > Project: Spark > Issue Type: Test > Components: ML >Affects Versions: 2.2.0 >Reporter: Joseph K. Bradley >Assignee: Apache Spark > > One challenge with the ProbabilisticClassifier abstraction is that it > introduces different code paths for predictions depending on which output > columns are turned on or off: probability, rawPrediction, prediction. We ran > into a bug in MLOR with this. > This task is for adding a generic test usable in all test suites for > ProbabilisticClassifier types which does the following: > * Take a dataset + Estimator > * Fit the Estimator > * Test prediction using the model with all combinations of output columns > turned on/off. > * Make sure the output column values match, presumably by comparing vs. the > case with all 3 output columns turned on > CC [~WeichenXu123] since this came up in > https://github.com/apache/spark/pull/17373 -- This message was sent by Atlassian JIRA (v6.4.14#64029) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-21729) Generic test for ProbabilisticClassifier to ensure consistent output columns
[ https://issues.apache.org/jira/browse/SPARK-21729?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-21729: Assignee: Apache Spark > Generic test for ProbabilisticClassifier to ensure consistent output columns > > > Key: SPARK-21729 > URL: https://issues.apache.org/jira/browse/SPARK-21729 > Project: Spark > Issue Type: Test > Components: ML >Affects Versions: 2.2.0 >Reporter: Joseph K. Bradley >Assignee: Apache Spark > > One challenge with the ProbabilisticClassifier abstraction is that it > introduces different code paths for predictions depending on which output > columns are turned on or off: probability, rawPrediction, prediction. We ran > into a bug in MLOR with this. > This task is for adding a generic test usable in all test suites for > ProbabilisticClassifier types which does the following: > * Take a dataset + Estimator > * Fit the Estimator > * Test prediction using the model with all combinations of output columns > turned on/off. > * Make sure the output column values match, presumably by comparing vs. the > case with all 3 output columns turned on > CC [~WeichenXu123] since this came up in > https://github.com/apache/spark/pull/17373 -- This message was sent by Atlassian JIRA (v6.4.14#64029) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-21729) Generic test for ProbabilisticClassifier to ensure consistent output columns
[ https://issues.apache.org/jira/browse/SPARK-21729?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-21729: Assignee: (was: Apache Spark) > Generic test for ProbabilisticClassifier to ensure consistent output columns > > > Key: SPARK-21729 > URL: https://issues.apache.org/jira/browse/SPARK-21729 > Project: Spark > Issue Type: Test > Components: ML >Affects Versions: 2.2.0 >Reporter: Joseph K. Bradley > > One challenge with the ProbabilisticClassifier abstraction is that it > introduces different code paths for predictions depending on which output > columns are turned on or off: probability, rawPrediction, prediction. We ran > into a bug in MLOR with this. > This task is for adding a generic test usable in all test suites for > ProbabilisticClassifier types which does the following: > * Take a dataset + Estimator > * Fit the Estimator > * Test prediction using the model with all combinations of output columns > turned on/off. > * Make sure the output column values match, presumably by comparing vs. the > case with all 3 output columns turned on > CC [~WeichenXu123] since this came up in > https://github.com/apache/spark/pull/17373 -- This message was sent by Atlassian JIRA (v6.4.14#64029) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-21729) Generic test for ProbabilisticClassifier to ensure consistent output columns
[ https://issues.apache.org/jira/browse/SPARK-21729?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-21729: Assignee: (was: Apache Spark) > Generic test for ProbabilisticClassifier to ensure consistent output columns > > > Key: SPARK-21729 > URL: https://issues.apache.org/jira/browse/SPARK-21729 > Project: Spark > Issue Type: Test > Components: ML >Affects Versions: 2.2.0 >Reporter: Joseph K. Bradley > > One challenge with the ProbabilisticClassifier abstraction is that it > introduces different code paths for predictions depending on which output > columns are turned on or off: probability, rawPrediction, prediction. We ran > into a bug in MLOR with this. > This task is for adding a generic test usable in all test suites for > ProbabilisticClassifier types which does the following: > * Take a dataset + Estimator > * Fit the Estimator > * Test prediction using the model with all combinations of output columns > turned on/off. > * Make sure the output column values match, presumably by comparing vs. the > case with all 3 output columns turned on > CC [~WeichenXu123] since this came up in > https://github.com/apache/spark/pull/17373 -- This message was sent by Atlassian JIRA (v6.4.14#64029) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-21729) Generic test for ProbabilisticClassifier to ensure consistent output columns
[ https://issues.apache.org/jira/browse/SPARK-21729?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-21729: Assignee: (was: Apache Spark) > Generic test for ProbabilisticClassifier to ensure consistent output columns > > > Key: SPARK-21729 > URL: https://issues.apache.org/jira/browse/SPARK-21729 > Project: Spark > Issue Type: Test > Components: ML >Affects Versions: 2.2.0 >Reporter: Joseph K. Bradley > > One challenge with the ProbabilisticClassifier abstraction is that it > introduces different code paths for predictions depending on which output > columns are turned on or off: probability, rawPrediction, prediction. We ran > into a bug in MLOR with this. > This task is for adding a generic test usable in all test suites for > ProbabilisticClassifier types which does the following: > * Take a dataset + Estimator > * Fit the Estimator > * Test prediction using the model with all combinations of output columns > turned on/off. > * Make sure the output column values match, presumably by comparing vs. the > case with all 3 output columns turned on > CC [~WeichenXu123] since this came up in > https://github.com/apache/spark/pull/17373 -- This message was sent by Atlassian JIRA (v6.4.14#64029) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-21729) Generic test for ProbabilisticClassifier to ensure consistent output columns
[ https://issues.apache.org/jira/browse/SPARK-21729?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-21729: Assignee: Apache Spark > Generic test for ProbabilisticClassifier to ensure consistent output columns > > > Key: SPARK-21729 > URL: https://issues.apache.org/jira/browse/SPARK-21729 > Project: Spark > Issue Type: Test > Components: ML >Affects Versions: 2.2.0 >Reporter: Joseph K. Bradley >Assignee: Apache Spark > > One challenge with the ProbabilisticClassifier abstraction is that it > introduces different code paths for predictions depending on which output > columns are turned on or off: probability, rawPrediction, prediction. We ran > into a bug in MLOR with this. > This task is for adding a generic test usable in all test suites for > ProbabilisticClassifier types which does the following: > * Take a dataset + Estimator > * Fit the Estimator > * Test prediction using the model with all combinations of output columns > turned on/off. > * Make sure the output column values match, presumably by comparing vs. the > case with all 3 output columns turned on > CC [~WeichenXu123] since this came up in > https://github.com/apache/spark/pull/17373 -- This message was sent by Atlassian JIRA (v6.4.14#64029) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-21729) Generic test for ProbabilisticClassifier to ensure consistent output columns
[ https://issues.apache.org/jira/browse/SPARK-21729?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-21729: Assignee: Apache Spark > Generic test for ProbabilisticClassifier to ensure consistent output columns > > > Key: SPARK-21729 > URL: https://issues.apache.org/jira/browse/SPARK-21729 > Project: Spark > Issue Type: Test > Components: ML >Affects Versions: 2.2.0 >Reporter: Joseph K. Bradley >Assignee: Apache Spark > > One challenge with the ProbabilisticClassifier abstraction is that it > introduces different code paths for predictions depending on which output > columns are turned on or off: probability, rawPrediction, prediction. We ran > into a bug in MLOR with this. > This task is for adding a generic test usable in all test suites for > ProbabilisticClassifier types which does the following: > * Take a dataset + Estimator > * Fit the Estimator > * Test prediction using the model with all combinations of output columns > turned on/off. > * Make sure the output column values match, presumably by comparing vs. the > case with all 3 output columns turned on > CC [~WeichenXu123] since this came up in > https://github.com/apache/spark/pull/17373 -- This message was sent by Atlassian JIRA (v6.4.14#64029) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
