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| author | Sandeep <sandeep@techaddict.me> | 2014-04-15 00:19:43 -0700 |
|---|---|---|
| committer | Matei Zaharia <matei@databricks.com> | 2014-04-15 00:19:43 -0700 |
| commit | df360917990ad95dde3c8e016ec42507d1566355 (patch) | |
| tree | 621930a449382e043e58628a08db6e00d0843261 /docs/mllib-guide.md | |
| parent | c99bcb7feaa761c5826f2e1d844d0502a3b79538 (diff) | |
| download | spark-df360917990ad95dde3c8e016ec42507d1566355.tar.gz spark-df360917990ad95dde3c8e016ec42507d1566355.tar.bz2 spark-df360917990ad95dde3c8e016ec42507d1566355.zip | |
SPARK-1426: Make MLlib work with NumPy versions older than 1.7
Currently it requires NumPy 1.7 due to using the copyto method (http://docs.scipy.org/doc/numpy/reference/generated/numpy.copyto.html) for extracting data out of an array.
Replace it with a fallback
Author: Sandeep <sandeep@techaddict.me>
Closes #391 from techaddict/1426 and squashes the following commits:
d365962 [Sandeep] SPARK-1426: Make MLlib work with NumPy versions older than 1.7 Currently it requires NumPy 1.7 due to using the copyto method (http://docs.scipy.org/doc/numpy/reference/generated/numpy.copyto.html) for extracting data out of an array. Replace it with a fallback
Diffstat (limited to 'docs/mllib-guide.md')
| -rw-r--r-- | docs/mllib-guide.md | 9 |
1 files changed, 4 insertions, 5 deletions
diff --git a/docs/mllib-guide.md b/docs/mllib-guide.md index a5e0cc5080..eff856104c 100644 --- a/docs/mllib-guide.md +++ b/docs/mllib-guide.md @@ -11,7 +11,7 @@ namely, binary classification, regression, clustering and collaborative filtering, as well as an underlying gradient descent optimization primitive. # Available Methods -The following links provide a detailed explanation of the methods and usage examples for each of them: +The following links provide a detailed explanation of the methods and usage examples for each of them: * <a href="mllib-classification-regression.html">Classification and Regression</a> * Binary Classification @@ -33,10 +33,9 @@ The following links provide a detailed explanation of the methods and usage exam # Dependencies MLlib uses the [jblas](https://github.com/mikiobraun/jblas) linear algebra library, which itself -depends on native Fortran routines. You may need to install the +depends on native Fortran routines. You may need to install the [gfortran runtime library](https://github.com/mikiobraun/jblas/wiki/Missing-Libraries) -if it is not already present on your nodes. MLlib will throw a linking error if it cannot +if it is not already present on your nodes. MLlib will throw a linking error if it cannot detect these libraries automatically. -To use MLlib in Python, you will need [NumPy](http://www.numpy.org) version 1.7 or newer. - +To use MLlib in Python, you will need [NumPy](http://www.numpy.org) version 1.4 or newer. |