Details
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New Feature
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Status: Resolved
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Major
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Resolution: Incomplete
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None
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None
Description
MLlib's local linear algebra package doesn't have any support for any type of matrix operations. With 1.5, we wish to add support to a complete package of optimized linear algebra operations for Scala/Java users.
The main goal is to support lazy operations so that element-wise can be implemented in a single for-loop, and complex operations can be interfaced through BLAS.
The design doc: http://goo.gl/sf5LCE
Attachments
Issue Links
- incorporates
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SPARK-9003 Add map/update function to MLlib/Vector
- Resolved
- is duplicated by
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SPARK-10989 Add the dot and hadamard products to the Vectors object
- Resolved
- is related to
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SPARK-10989 Add the dot and hadamard products to the Vectors object
- Resolved
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SPARK-20221 Port pyspark.mllib.linalg tests in pyspark/mllib/tests.py to pyspark.ml.linalg
- Resolved
- relates to
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SPARK-15575 Remove breeze from dependencies?
- Resolved
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SPARK-15882 Discuss distributed linear algebra in spark.ml package
- Resolved