[jira] [Updated] (SPARK-4047) Generate runtime warning for naive implementation examples for algorithms implemented in MLlib/graphx
[ https://issues.apache.org/jira/browse/SPARK-4047?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Xiangrui Meng updated SPARK-4047: - Assignee: Varadharajan Generate runtime warning for naive implementation examples for algorithms implemented in MLlib/graphx - Key: SPARK-4047 URL: https://issues.apache.org/jira/browse/SPARK-4047 Project: Spark Issue Type: Improvement Components: Examples Affects Versions: 1.1.0 Reporter: Varadharajan Assignee: Varadharajan Priority: Minor Labels: easyfix, newbie Fix For: 1.2.0 Original Estimate: 1h Remaining Estimate: 1h Based on SPARK-2434, we're generating runtime warnings to denote that the example implementation of algorithms were naive and a well implemented version is available in MLlib. Here are list of examples that are related to algorithms implemented in MLlib and graphx. 1. LocalALS 2. LocalFileLR 3. LocalKMeans 4. LocalLR 5. SparkALS 6. SparkHdfsLR 7. SparkKMeans 8. SparkLR 9. SparkPageRank (*) 10. SparkTachyonHdfsLR (*) Python examples: 1. ALS 2. kmeans 3. logistic_regression 4. pagerank (*) Java examples: 1. JavaHdfsLR (*) 2. JavaPageRank (*) (*) - Examples with missing runtime warnings. Also in few examples implementing LR, its currently pointing to org.apache.spark.mllib.classification.LogisticRegression instead of org.apache.spark.mllib.classification.LogisticRegressionModel -- 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-4047) Generate runtime warning for naive implementation examples for algorithms implemented in MLlib/graphx
[ https://issues.apache.org/jira/browse/SPARK-4047?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Varadharajan updated SPARK-4047: Description: Based on SPARK-2434, we're generating runtime warnings to denote that the example implementation of algorithms were naive and a well implemented version is available in MLlib. Here are list of examples that are related to algorithms implemented in MLlib and graphx. 1. LocalALS 2. LocalFileLR 3. LocalKMeans 4. LocalLR 5. SparkALS 6. SparkHdfsLR 7. SparkKMeans 8. SparkLR 9. SparkPageRank (*) 10. SparkTachyonHdfsLR (*) Python examples: 1. ALS 2. kmeans 3. logistic_regression 4. pagerank (*) Java examples: 1. JavaHdfsLR (*) 2. JavaPageRank (*) * - Examples with missing runtime warnings. Also in few examples implementing LR, its currently pointing to org.apache.spark.mllib.classification.LogisticRegression instead of org.apache.spark.mllib.classification.LogisticRegressionModel was:Based on SPARK-2434, we're generating runtime warnings to denote that the example implementation of algorithms were naive and a well implemented version is available in MLlib. PageRank implementation is not generating the runtime warning. Summary: Generate runtime warning for naive implementation examples for algorithms implemented in MLlib/graphx (was: Generate runtime warning for naive implementation of PageRank example) Generate runtime warning for naive implementation examples for algorithms implemented in MLlib/graphx - Key: SPARK-4047 URL: https://issues.apache.org/jira/browse/SPARK-4047 Project: Spark Issue Type: Improvement Components: Examples Affects Versions: 1.1.0 Reporter: Varadharajan Priority: Minor Labels: easyfix, newbie Original Estimate: 1h Remaining Estimate: 1h Based on SPARK-2434, we're generating runtime warnings to denote that the example implementation of algorithms were naive and a well implemented version is available in MLlib. Here are list of examples that are related to algorithms implemented in MLlib and graphx. 1. LocalALS 2. LocalFileLR 3. LocalKMeans 4. LocalLR 5. SparkALS 6. SparkHdfsLR 7. SparkKMeans 8. SparkLR 9. SparkPageRank (*) 10. SparkTachyonHdfsLR (*) Python examples: 1. ALS 2. kmeans 3. logistic_regression 4. pagerank (*) Java examples: 1. JavaHdfsLR (*) 2. JavaPageRank (*) * - Examples with missing runtime warnings. Also in few examples implementing LR, its currently pointing to org.apache.spark.mllib.classification.LogisticRegression instead of org.apache.spark.mllib.classification.LogisticRegressionModel -- 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-4047) Generate runtime warning for naive implementation examples for algorithms implemented in MLlib/graphx
[ https://issues.apache.org/jira/browse/SPARK-4047?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Varadharajan updated SPARK-4047: Description: Based on SPARK-2434, we're generating runtime warnings to denote that the example implementation of algorithms were naive and a well implemented version is available in MLlib. Here are list of examples that are related to algorithms implemented in MLlib and graphx. 1. LocalALS 2. LocalFileLR 3. LocalKMeans 4. LocalLR 5. SparkALS 6. SparkHdfsLR 7. SparkKMeans 8. SparkLR 9. SparkPageRank (*) 10. SparkTachyonHdfsLR (*) Python examples: 1. ALS 2. kmeans 3. logistic_regression 4. pagerank (*) Java examples: 1. JavaHdfsLR (*) 2. JavaPageRank (*) (*) - Examples with missing runtime warnings. Also in few examples implementing LR, its currently pointing to org.apache.spark.mllib.classification.LogisticRegression instead of org.apache.spark.mllib.classification.LogisticRegressionModel was: Based on SPARK-2434, we're generating runtime warnings to denote that the example implementation of algorithms were naive and a well implemented version is available in MLlib. Here are list of examples that are related to algorithms implemented in MLlib and graphx. 1. LocalALS 2. LocalFileLR 3. LocalKMeans 4. LocalLR 5. SparkALS 6. SparkHdfsLR 7. SparkKMeans 8. SparkLR 9. SparkPageRank (*) 10. SparkTachyonHdfsLR (*) Python examples: 1. ALS 2. kmeans 3. logistic_regression 4. pagerank (*) Java examples: 1. JavaHdfsLR (*) 2. JavaPageRank (*) * - Examples with missing runtime warnings. Also in few examples implementing LR, its currently pointing to org.apache.spark.mllib.classification.LogisticRegression instead of org.apache.spark.mllib.classification.LogisticRegressionModel Generate runtime warning for naive implementation examples for algorithms implemented in MLlib/graphx - Key: SPARK-4047 URL: https://issues.apache.org/jira/browse/SPARK-4047 Project: Spark Issue Type: Improvement Components: Examples Affects Versions: 1.1.0 Reporter: Varadharajan Priority: Minor Labels: easyfix, newbie Original Estimate: 1h Remaining Estimate: 1h Based on SPARK-2434, we're generating runtime warnings to denote that the example implementation of algorithms were naive and a well implemented version is available in MLlib. Here are list of examples that are related to algorithms implemented in MLlib and graphx. 1. LocalALS 2. LocalFileLR 3. LocalKMeans 4. LocalLR 5. SparkALS 6. SparkHdfsLR 7. SparkKMeans 8. SparkLR 9. SparkPageRank (*) 10. SparkTachyonHdfsLR (*) Python examples: 1. ALS 2. kmeans 3. logistic_regression 4. pagerank (*) Java examples: 1. JavaHdfsLR (*) 2. JavaPageRank (*) (*) - Examples with missing runtime warnings. Also in few examples implementing LR, its currently pointing to org.apache.spark.mllib.classification.LogisticRegression instead of org.apache.spark.mllib.classification.LogisticRegressionModel -- 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
