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authorHossein Falaki <falaki@gmail.com>2014-01-07 21:28:26 -0800
committerHossein Falaki <falaki@gmail.com>2014-01-07 21:28:26 -0800
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parentb2e690f839e7ee47f405135d35170173386c5d13 (diff)
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Fixed merge conflict
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@@ -42,10 +42,6 @@ underlying gradient descent primitive (described
parameter (*regParam*) along with various parameters associated with gradient
descent (*stepSize*, *numIterations*, *miniBatchFraction*).
-
-
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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 %}