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| author | Holden Karau <holden@us.ibm.com> | 2016-05-09 09:11:17 +0100 |
|---|---|---|
| committer | Sean Owen <sowen@cloudera.com> | 2016-05-09 09:11:17 +0100 |
| commit | 12fe2ecd1998a8b01667aa1ab910a604b2aec4c8 (patch) | |
| tree | 39813ff79a12b15e95541e6b68077704eadbbd8f /python/pyspark/ml/feature.py | |
| parent | 68abc1b4e9afbb6c2a87689221a46b835dded102 (diff) | |
| download | spark-12fe2ecd1998a8b01667aa1ab910a604b2aec4c8.tar.gz spark-12fe2ecd1998a8b01667aa1ab910a604b2aec4c8.tar.bz2 spark-12fe2ecd1998a8b01667aa1ab910a604b2aec4c8.zip | |
[SPARK-15136][PYSPARK][DOC] Fix links to sphinx style and add a default param doc note
## What changes were proposed in this pull request?
PyDoc links in ml are in non-standard format. Switch to standard sphinx link format for better formatted documentation. Also add a note about default value in one place. Copy some extended docs from scala for GBT
## How was this patch tested?
Built docs locally.
Author: Holden Karau <holden@us.ibm.com>
Closes #12918 from holdenk/SPARK-15137-linkify-pyspark-ml-classification.
Diffstat (limited to 'python/pyspark/ml/feature.py')
| -rwxr-xr-x | python/pyspark/ml/feature.py | 13 |
1 files changed, 6 insertions, 7 deletions
diff --git a/python/pyspark/ml/feature.py b/python/pyspark/ml/feature.py index d2989fa4cd..606a6e7c22 100755 --- a/python/pyspark/ml/feature.py +++ b/python/pyspark/ml/feature.py @@ -377,8 +377,8 @@ class DCT(JavaTransformer, HasInputCol, HasOutputCol, JavaMLReadable, JavaMLWrit The return vector is scaled such that the transform matrix is unitary (aka scaled DCT-II). - More information on - `https://en.wikipedia.org/wiki/Discrete_cosine_transform#DCT-II Wikipedia`. + .. seealso:: `More information on Wikipedia \ + <https://en.wikipedia.org/wiki/Discrete_cosine_transform#DCT-II Wikipedia>`_. >>> from pyspark.mllib.linalg import Vectors >>> df1 = sqlContext.createDataFrame([(Vectors.dense([5.0, 8.0, 6.0]),)], ["vec"]) @@ -1108,8 +1108,8 @@ class PolynomialExpansion(JavaTransformer, HasInputCol, HasOutputCol, JavaMLRead """ .. note:: Experimental - Perform feature expansion in a polynomial space. As said in wikipedia of Polynomial Expansion, - which is available at `http://en.wikipedia.org/wiki/Polynomial_expansion`, "In mathematics, an + Perform feature expansion in a polynomial space. As said in `wikipedia of Polynomial Expansion + <http://en.wikipedia.org/wiki/Polynomial_expansion>`_, "In mathematics, an expansion of a product of sums expresses it as a sum of products by using the fact that multiplication distributes over addition". Take a 2-variable feature vector as an example: `(x, y)`, if we want to expand it with degree 2, then we get `(x, x * x, y, x * y, y * y)`. @@ -2432,9 +2432,8 @@ class RFormula(JavaEstimator, HasFeaturesCol, HasLabelCol, JavaMLReadable, JavaM Implements the transforms required for fitting a dataset against an R model formula. Currently we support a limited subset of the R - operators, including '~', '.', ':', '+', and '-'. Also see the R formula - docs: - http://stat.ethz.ch/R-manual/R-patched/library/stats/html/formula.html + operators, including '~', '.', ':', '+', and '-'. Also see the `R formula docs + <http://stat.ethz.ch/R-manual/R-patched/library/stats/html/formula.html>`_. >>> df = sqlContext.createDataFrame([ ... (1.0, 1.0, "a"), |