[jira] [Updated] (MAHOUT-1179) GSOC 2013: Refactor and improve the classification APIs
[ https://issues.apache.org/jira/browse/MAHOUT-1179?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sebastian Schelter updated MAHOUT-1179: --- Fix Version/s: Backlog > GSOC 2013: Refactor and improve the classification APIs > --- > > Key: MAHOUT-1179 > URL: https://issues.apache.org/jira/browse/MAHOUT-1179 > Project: Mahout > Issue Type: New Feature >Reporter: Dan Filimon > Labels: gsoc2013, mentor > Fix For: Backlog > > > [via Andy Twigg] > Improve and unify the Mahout classification API. Also related to the > refactoring of the clustering APIs MAHOUT-1177. > The two APIs should be roughly the same, at least in > terms of input/output so that pipelining etc is easier. (cf > scikit-learn clustering/classifier/regression API) > Currently Mahout support: > - logistic regression > - Naive Bayes > - Random Forests -- This message is automatically generated by JIRA. If you think it was sent incorrectly, please contact your JIRA administrators For more information on JIRA, see: http://www.atlassian.com/software/jira
[jira] [Updated] (MAHOUT-1179) GSOC 2013: Refactor and improve the classification APIs
[ https://issues.apache.org/jira/browse/MAHOUT-1179?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Dan Filimon updated MAHOUT-1179: Description: [via Andy Twigg] Improve and unify the Mahout classification API. Also related to the refactoring of the clustering APIs MAHOUT-1177. The two APIs should be roughly the same, at least in terms of input/output so that pipelining etc is easier. (cf scikit-learn clustering/classifier/regression API) Currently Mahout support: - logistic regression - Naive Bayes - Random Forests was: [via Andy Twigg] Improve and unify the Mahout classification API. Also related to the refactoring of the clustering APIs MAHOUT-1177. The two APIs should be roughly the same, at least in terms of input/output so that pipelining etc is easier. (cf scikit-learn clustering/classifier/regression API) Currently Mahout support: - logistic regression - Naive Bayes - Random Forests [not yet complete?] > GSOC 2013: Refactor and improve the classification APIs > --- > > Key: MAHOUT-1179 > URL: https://issues.apache.org/jira/browse/MAHOUT-1179 > Project: Mahout > Issue Type: New Feature >Reporter: Dan Filimon > Labels: gsoc2013, mentor > > [via Andy Twigg] > Improve and unify the Mahout classification API. Also related to the > refactoring of the clustering APIs MAHOUT-1177. > The two APIs should be roughly the same, at least in > terms of input/output so that pipelining etc is easier. (cf > scikit-learn clustering/classifier/regression API) > Currently Mahout support: > - logistic regression > - Naive Bayes > - Random Forests -- This message is automatically generated by JIRA. If you think it was sent incorrectly, please contact your JIRA administrators For more information on JIRA, see: http://www.atlassian.com/software/jira
[jira] [Updated] (MAHOUT-1179) GSOC 2013: Refactor and improve the classification APIs
[ https://issues.apache.org/jira/browse/MAHOUT-1179?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Dan Filimon updated MAHOUT-1179: Description: [via Andy Twigg] Improve and unify the Mahout classification API. Also related to the refactoring of the clustering APIs MAHOUT-1177. The two APIs should be roughly the same, at least in terms of input/output so that pipelining etc is easier. (cf scikit-learn clustering/classifier/regression API) Currently Mahout support: - logistic regression - Naive Bayes - Random Forests was: [via Andy Twigg] Improve and unify the Mahout classification API. Also related to the refactoring of the clustering APIs MAHOUT-1177. The two APIs should be roughly the same, at least in terms of input/output so that pipelining etc is easier. (cf scikit-learn clustering/classifier/regression API) Currently Mahout support: - logistic regression - Naive Bayes - Random Forests [not yet complete?] > GSOC 2013: Refactor and improve the classification APIs > --- > > Key: MAHOUT-1179 > URL: https://issues.apache.org/jira/browse/MAHOUT-1179 > Project: Mahout > Issue Type: New Feature >Reporter: Dan Filimon > Labels: gsoc2013, mentor > > [via Andy Twigg] > Improve and unify the Mahout classification API. Also related to the > refactoring of the clustering APIs MAHOUT-1177. > The two APIs should be roughly the same, at least in > terms of input/output so that pipelining etc is easier. (cf > scikit-learn clustering/classifier/regression API) > Currently Mahout support: > - logistic regression > - Naive Bayes > - Random Forests -- This message is automatically generated by JIRA. If you think it was sent incorrectly, please contact your JIRA administrators For more information on JIRA, see: http://www.atlassian.com/software/jira
