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author | Hossein Falaki <falaki@gmail.com> | 2014-01-07 21:28:26 -0800 |
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committer | Hossein Falaki <falaki@gmail.com> | 2014-01-07 21:28:26 -0800 |
commit | 46cb980a5f5ba55f341b8bcce4f0d1e5213989d3 (patch) | |
tree | ff3823085f27c0f4477d25a056d333c429c5d6c9 /docs/mllib-guide.md | |
parent | 150089dae12bbba693db4edbfcea360b443637df (diff) | |
parent | b2e690f839e7ee47f405135d35170173386c5d13 (diff) | |
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Fixed merge conflict
Diffstat (limited to 'docs/mllib-guide.md')
-rw-r--r-- | docs/mllib-guide.md | 6 |
1 files changed, 1 insertions, 5 deletions
diff --git a/docs/mllib-guide.md b/docs/mllib-guide.md index 5f3b676126..45ee166688 100644 --- a/docs/mllib-guide.md +++ b/docs/mllib-guide.md @@ -42,10 +42,6 @@ underlying gradient descent primitive (described parameter (*regParam*) along with various parameters associated with gradient descent (*stepSize*, *numIterations*, *miniBatchFraction*). - - - - Available algorithms for binary classification: * [SVMWithSGD](api/mllib/index.html#org.apache.spark.mllib.classification.SVMWithSGD) @@ -431,4 +427,4 @@ signals), you can use the trainImplicit method to get better results. {% highlight python %} # Build the recommendation model using Alternating Least Squares based on implicit ratings model = ALS.trainImplicit(sc, ratings, 1, 20) -{% endhighlight %}
\ No newline at end of file +{% endhighlight %} |