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| author | Mike Dusenberry <dusenberrymw@gmail.com> | 2015-06-02 12:38:14 -0700 |
|---|---|---|
| committer | Joseph K. Bradley <joseph@databricks.com> | 2015-06-02 12:38:14 -0700 |
| commit | ad06727fe985ca243ebdaaba55cd7d35a4749d0a (patch) | |
| tree | 5e73c9ac5a493dfd6c1cb6ac07a4b674392e5ed2 /docs/ml-guide.md | |
| parent | 0071bd8d31f13abfe73b9d141a818412d374dce0 (diff) | |
| download | spark-ad06727fe985ca243ebdaaba55cd7d35a4749d0a.tar.gz spark-ad06727fe985ca243ebdaaba55cd7d35a4749d0a.tar.bz2 spark-ad06727fe985ca243ebdaaba55cd7d35a4749d0a.zip | |
[SPARK-7985] [ML] [MLlib] [Docs] Remove "fittingParamMap" references. Updating ML Doc "Estimator, Transformer, and Param" examples.
Updating ML Doc's *"Estimator, Transformer, and Param"* example to use `model.extractParamMap` instead of `model.fittingParamMap`, which no longer exists.
mengxr, I believe this addresses (part of) the *update documentation* TODO list item from [PR 5820](https://github.com/apache/spark/pull/5820).
Author: Mike Dusenberry <dusenberrymw@gmail.com>
Closes #6514 from dusenberrymw/Fix_ML_Doc_Estimator_Transformer_Param_Example and squashes the following commits:
6366e1f [Mike Dusenberry] Updating instances of model.extractParamMap to model.parent.extractParamMap, since the Params of the parent Estimator could possibly differ from thos of the Model.
d850e0e [Mike Dusenberry] Removing all references to "fittingParamMap" throughout Spark, since it has been removed.
0480304 [Mike Dusenberry] Updating the ML Doc "Estimator, Transformer, and Param" Java example to use model.extractParamMap() instead of model.fittingParamMap(), which no longer exists.
7d34939 [Mike Dusenberry] Updating ML Doc "Estimator, Transformer, and Param" example to use model.extractParamMap instead of model.fittingParamMap, which no longer exists.
Diffstat (limited to 'docs/ml-guide.md')
| -rw-r--r-- | docs/ml-guide.md | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/docs/ml-guide.md b/docs/ml-guide.md index c5f50ed799..4eb622d4b9 100644 --- a/docs/ml-guide.md +++ b/docs/ml-guide.md @@ -207,7 +207,7 @@ val model1 = lr.fit(training.toDF) // we can view the parameters it used during fit(). // This prints the parameter (name: value) pairs, where names are unique IDs for this // LogisticRegression instance. -println("Model 1 was fit using parameters: " + model1.fittingParamMap) +println("Model 1 was fit using parameters: " + model1.parent.extractParamMap) // We may alternatively specify parameters using a ParamMap, // which supports several methods for specifying parameters. @@ -222,7 +222,7 @@ val paramMapCombined = paramMap ++ paramMap2 // Now learn a new model using the paramMapCombined parameters. // paramMapCombined overrides all parameters set earlier via lr.set* methods. val model2 = lr.fit(training.toDF, paramMapCombined) -println("Model 2 was fit using parameters: " + model2.fittingParamMap) +println("Model 2 was fit using parameters: " + model2.parent.extractParamMap) // Prepare test data. val test = sc.parallelize(Seq( @@ -289,7 +289,7 @@ LogisticRegressionModel model1 = lr.fit(training); // we can view the parameters it used during fit(). // This prints the parameter (name: value) pairs, where names are unique IDs for this // LogisticRegression instance. -System.out.println("Model 1 was fit using parameters: " + model1.fittingParamMap()); +System.out.println("Model 1 was fit using parameters: " + model1.parent().extractParamMap()); // We may alternatively specify parameters using a ParamMap. ParamMap paramMap = new ParamMap(); @@ -305,7 +305,7 @@ ParamMap paramMapCombined = paramMap.$plus$plus(paramMap2); // Now learn a new model using the paramMapCombined parameters. // paramMapCombined overrides all parameters set earlier via lr.set* methods. LogisticRegressionModel model2 = lr.fit(training, paramMapCombined); -System.out.println("Model 2 was fit using parameters: " + model2.fittingParamMap()); +System.out.println("Model 2 was fit using parameters: " + model2.parent().extractParamMap()); // Prepare test documents. List<LabeledPoint> localTest = Lists.newArrayList( |