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Shuo Xiang updated SPARK-13029:
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Description:
This is a bug that appears while fitting a Logistic Regression model with
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Shuo Xiang updated SPARK-13029:
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Description:
This is a bug that appears while fitting a Logistic Regression model with
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Shuo Xiang updated SPARK-13029:
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Description:
This is a bug that appears while fitting a Logistic Regression model with
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Shuo Xiang updated SPARK-13029:
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Description:
This is a bug that appears while fitting a Logistic Regression model with
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Shuo Xiang updated SPARK-13029:
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Description:
This is a bug that appears while fitting a Logistic Regression model with
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Shuo Xiang updated SPARK-13029:
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Description:
This is a bug that appears while fitting a Logistic Regression model with
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Shuo Xiang updated SPARK-13029:
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Description:
This is a bug that appears while fitting a Logistic Regression model with
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Shuo Xiang updated SPARK-13029:
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Description:
This is a bug that appears while fitting a Logistic Regression model with
Shuo Xiang created SPARK-13029:
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Summary: Logistic regression returns inaccurate results when there
is a column with identical value, and fit_intercept=false
Key: SPARK-13029
URL:
Shuo Xiang created SPARK-10336:
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Summary: Setting intercept in the example code of logistic
regression is not working
Key: SPARK-10336
URL: https://issues.apache.org/jira/browse/SPARK-10336
Project:
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Shuo Xiang updated SPARK-10336:
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Summary: fitIntercept is a command line option but not set in the LR
example program. (was: Setting
Shuo Xiang created SPARK-8551:
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Summary: Python example code for elastic net
Key: SPARK-8551
URL: https://issues.apache.org/jira/browse/SPARK-8551
Project: Spark
Issue Type: New Feature
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Shuo Xiang commented on SPARK-7555:
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[~josephkb] WIP, should be fine.
User guide
Shuo Xiang created SPARK-7793:
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Summary: Use getOrElse for getting the threshold of SVM model
Key: SPARK-7793
URL: https://issues.apache.org/jira/browse/SPARK-7793
Project: Spark
Issue Type: Bug
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Shuo Xiang commented on SPARK-7540:
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Schema and required field verification done using
Shuo Xiang created SPARK-7694:
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Summary: Use getOrElse for getting the threshold of LR model
Key: SPARK-7694
URL: https://issues.apache.org/jira/browse/SPARK-7694
Project: Spark
Issue Type: Bug
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Shuo Xiang updated SPARK-7694:
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Description:
The toString method of LogisticRegressionModel calls get method on an Option
(threshold)
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Shuo Xiang updated SPARK-7694:
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Description:
The toString method of LogisticRegressionModel calls get method on an Option
(threshold)
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Shuo Xiang updated SPARK-7694:
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Description:
The toString method of LogisticRegressionModel calls get method on an Option
(threshold)
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Shuo Xiang updated SPARK-7694:
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Description:
The toString method of LogisticRegressionModel calls get method on an Option
(threshold)
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Shuo Xiang commented on SPARK-3987:
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[~mengxr] I think it is done.
NNLS generates
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Shuo Xiang updated SPARK-5116:
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Description:
Add extractor for SparseVector and DenseVector in MLlib to save some code while
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Shuo Xiang updated SPARK-5116:
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Description:
Add extractor for SparseVector and DenseVector in MLlib to save some code while
Shuo Xiang created SPARK-5116:
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Summary: Add extractor for SparseVector and DenseVector in MLlib
Key: SPARK-5116
URL: https://issues.apache.org/jira/browse/SPARK-5116
Project: Spark
Issue Type:
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Shuo Xiang commented on SPARK-3987:
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[~debasish83][~mengxr] The condition number for the
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Shuo Xiang commented on SPARK-3987:
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[~debasish83] Thanks for the follow up. Wondering
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Shuo Xiang commented on SPARK-3987:
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[~debasish83] IMHO, the current implementation of
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Shuo Xiang commented on SPARK-3987:
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[~debasish83] Just wondering did you use q2 or -q2
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Shuo Xiang edited comment on SPARK-3987 at 10/22/14 4:32 AM:
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Shuo Xiang updated SPARK-3987:
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Comment: was deleted
(was: [~debasish83] I'm wondering if P2 and q2 are the **ata** and **atb**
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Shuo Xiang commented on SPARK-3987:
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[~debasish83] By using a finer config (change 1e-6
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Shuo Xiang edited comment on SPARK-3987 at 10/22/14 5:08 AM:
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Shuo Xiang edited comment on SPARK-3987 at 10/22/14 5:09 AM:
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Shuo Xiang updated SPARK-3568:
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Description:
Include common metrics for ranking algorithms
(http://www-nlp.stanford.edu/IR-book/),
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Shuo Xiang updated SPARK-3568:
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Description:
Include widely-used metrics for ranking algorithms, including:
- Mean Average Precision
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Shuo Xiang updated SPARK-3568:
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Description:
Include common metrics for ranking algorithms
(http://www-nlp.stanford.edu/IR-book/),
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Shuo Xiang updated SPARK-3568:
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Description:
Include common metrics for ranking
algorithms(http://www-nlp.stanford.edu/IR-book/),
Shuo Xiang created SPARK-3568:
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Summary: Add metrics for ranking algorithms
Key: SPARK-3568
URL: https://issues.apache.org/jira/browse/SPARK-3568
Project: Spark
Issue Type: New Feature
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Shuo Xiang updated SPARK-3568:
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Description:
Include widely-used metrics for ranking algorithms, including:
- Mean Average Precision
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Shuo Xiang updated SPARK-3568:
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Description:
Include widely-used metrics for ranking algorithms, including:
- Mean Average Precision
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Shuo Xiang updated SPARK-3568:
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Description:
Include widely-used metrics for ranking algorithms, including:
- Mean Average Precision
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Shuo Xiang updated SPARK-3568:
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Description:
Include widely-used metrics for ranking algorithms, including:
- Mean Average Precision
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https://issues.apache.org/jira/browse/SPARK-1543?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shuo Xiang closed SPARK-1543.
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Resolution: Later
close at this time for more design discussion
Add ADMM for solving Lasso (and
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Shuo Xiang commented on SPARK-2181:
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Hi, I've merged the latest version but the column
Shuo Xiang created SPARK-2181:
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Summary: The keys for sorting the columns of Executor page in
SparkUI are incorrect
Key: SPARK-2181
URL: https://issues.apache.org/jira/browse/SPARK-2181
Project: Spark
Shuo Xiang created SPARK-2120:
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Summary: Not fully cached when there is enough memory
Key: SPARK-2120
URL: https://issues.apache.org/jira/browse/SPARK-2120
Project: Spark
Issue Type: Bug
Shuo Xiang created SPARK-2121:
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Summary: Not fully cached when there is enough memory
Key: SPARK-2121
URL: https://issues.apache.org/jira/browse/SPARK-2121
Project: Spark
Issue Type: Bug
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Shuo Xiang closed SPARK-2120.
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Resolution: Duplicate
Not fully cached when there is enough memory
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Shuo Xiang updated SPARK-2085:
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Description:
The current implementation of ALS takes a single regularization parameter and
apply it
Shuo Xiang created SPARK-2085:
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Summary: Apply user-specific regularization instead of uniform
regularization in Alternating Least Squares (ALS)
Key: SPARK-2085
URL: https://issues.apache.org/jira/browse/SPARK-2085
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Shuo Xiang updated SPARK-2085:
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Description:
The current implementation of ALS takes a single regularization parameter and
apply it
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Shuo Xiang commented on SPARK-1977:
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Hi [~neville], I just run the MovieLens example on
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Shuo Xiang updated SPARK-1543:
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Description:
This PR introduces the Alternating Direction Method of Multipliers (ADMM) for
solving
Shuo Xiang created SPARK-1542:
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Summary: Add ADMM for solving Lasso (and elastic net) problem
Key: SPARK-1542
URL: https://issues.apache.org/jira/browse/SPARK-1542
Project: Spark
Issue Type: New
Shuo Xiang created SPARK-1543:
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Summary: Add ADMM for solving Lasso (and elastic net) problem
Key: SPARK-1543
URL: https://issues.apache.org/jira/browse/SPARK-1543
Project: Spark
Issue Type: New
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Shuo Xiang updated SPARK-1543:
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Description:
This PR introduces the Alternating Direction Method of Multipliers (ADMM) for
solving
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https://issues.apache.org/jira/browse/SPARK-1542?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shuo Xiang closed SPARK-1542.
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Resolution: Duplicate
Duplicate with SPARK-1543 by mistake.
Add ADMM for solving Lasso (and elastic
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