Big Data Statistical Software for Confidence Intervals/Hypothesis Testing
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What are some current approaches for doing statistical analysis (glm, hypothesis testing, confidence intervals, ...) on Big Data (that cannot fit on one machine). I know there are Machine Learning packages (ex: Spark ML, tensorflow, ect...) to fit models on big data in distributed framework, but they do not do the p-value computation. I am excluding the possibility of running analysis on a sample subset of the data. Some of the options I am comparing are as follows:
1) Writing the CI code myself in Apache Mahout. But I noticed that Apache Mahout is going to be deprecated soon.
2) Writing the CI code in Apache Spark. Possible, but expressing linear algebra in map reduce / sparkSQL not easy.
3) Another big data package?
statistics apache-hadoop
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Paul BendevisPaul Bendevis
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What are some current approaches for doing statistical analysis (glm, hypothesis testing, confidence intervals, ...) on Big Data (that cannot fit on one machine). I know there are Machine Learning packages (ex: Spark ML, tensorflow, ect...) to fit models on big data in distributed framework, but they do not do the p-value computation. I am excluding the possibility of running analysis on a sample subset of the data. Some of the options I am comparing are as follows:
1) Writing the CI code myself in Apache Mahout. But I noticed that Apache Mahout is going to be deprecated soon.
2) Writing the CI code in Apache Spark. Possible, but expressing linear algebra in map reduce / sparkSQL not easy.
3) Another big data package?
statistics apache-hadoop
asked yesterday
Paul BendevisPaul Bendevis
1011
New contributor
Paul Bendevis is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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add a comment |
$begingroup$
What are some current approaches for doing statistical analysis (glm, hypothesis testing, confidence intervals, ...) on Big Data (that cannot fit on one machine). I know there are Machine Learning packages (ex: Spark ML, tensorflow, ect...) to fit models on big data in distributed framework, but they do not do the p-value computation. I am excluding the possibility of running analysis on a sample subset of the data. Some of the options I am comparing are as follows:
1) Writing the CI code myself in Apache Mahout. But I noticed that Apache Mahout is going to be deprecated soon.
2) Writing the CI code in Apache Spark. Possible, but expressing linear algebra in map reduce / sparkSQL not easy.
3) Another big data package?
statistics apache-hadoop
asked yesterday
Paul BendevisPaul Bendevis
1011
New contributor
Paul Bendevis is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
What are some current approaches for doing statistical analysis (glm, hypothesis testing, confidence intervals, ...) on Big Data (that cannot fit on one machine). I know there are Machine Learning packages (ex: Spark ML, tensorflow, ect...) to fit models on big data in distributed framework, but they do not do the p-value computation. I am excluding the possibility of running analysis on a sample subset of the data. Some of the options I am comparing are as follows:
1) Writing the CI code myself in Apache Mahout. But I noticed that Apache Mahout is going to be deprecated soon.
2) Writing the CI code in Apache Spark. Possible, but expressing linear algebra in map reduce / sparkSQL not easy.
3) Another big data package?
statistics apache-hadoop
statistics apache-hadoop
asked yesterday
Paul BendevisPaul Bendevis
1011
New contributor
Paul Bendevis is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked yesterday
Paul BendevisPaul Bendevis
1011
New contributor
Paul Bendevis is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked yesterday
Paul BendevisPaul Bendevis
1011
New contributor
Paul Bendevis is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked yesterday
Paul BendevisPaul Bendevis
1011
asked yesterday
Paul BendevisPaul Bendevis
1011
1011
New contributor
Paul Bendevis is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Paul Bendevis is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Paul Bendevis is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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