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author | Yanbo Liang <ybliang8@gmail.com> | 2016-12-08 06:19:38 -0800 |
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committer | Yanbo Liang <ybliang8@gmail.com> | 2016-12-08 06:19:38 -0800 |
commit | 9bf8f3cd4f62f921c32fb50b8abf49576a80874f (patch) | |
tree | 37a11c334001a981d5a87c5d0fefec67d2ef4889 /examples/src/main/r/ml/als.R | |
parent | b47b892e4579b7b06b4b2837ee4b614e517789f9 (diff) | |
download | spark-9bf8f3cd4f62f921c32fb50b8abf49576a80874f.tar.gz spark-9bf8f3cd4f62f921c32fb50b8abf49576a80874f.tar.bz2 spark-9bf8f3cd4f62f921c32fb50b8abf49576a80874f.zip |
[SPARK-18325][SPARKR][ML] SparkR ML wrappers example code and user guide
## What changes were proposed in this pull request?
* Add all R examples for ML wrappers which were added during 2.1 release cycle.
* Split the whole ```ml.R``` example file into individual example for each algorithm, which will be convenient for users to rerun them.
* Add corresponding examples to ML user guide.
* Update ML section of SparkR user guide.
Note: MLlib Scala/Java/Python examples will be consistent, however, SparkR examples may different from them, since R users may use the algorithms in a different way, for example, using R ```formula``` to specify ```featuresCol``` and ```labelCol```.
## How was this patch tested?
Run all examples manually.
Author: Yanbo Liang <ybliang8@gmail.com>
Closes #16148 from yanboliang/spark-18325.
Diffstat (limited to 'examples/src/main/r/ml/als.R')
-rw-r--r-- | examples/src/main/r/ml/als.R | 45 |
1 files changed, 45 insertions, 0 deletions
diff --git a/examples/src/main/r/ml/als.R b/examples/src/main/r/ml/als.R new file mode 100644 index 0000000000..383bbba190 --- /dev/null +++ b/examples/src/main/r/ml/als.R @@ -0,0 +1,45 @@ +# +# Licensed to the Apache Software Foundation (ASF) under one or more +# contributor license agreements. See the NOTICE file distributed with +# this work for additional information regarding copyright ownership. +# The ASF licenses this file to You under the Apache License, Version 2.0 +# (the "License"); you may not use this file except in compliance with +# the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +# To run this example use +# ./bin/spark-submit examples/src/main/r/ml/als.R + +# Load SparkR library into your R session +library(SparkR) + +# Initialize SparkSession +sparkR.session(appName = "SparkR-ML-als-example") + +# $example on$ +# Load training data +data <- list(list(0, 0, 4.0), list(0, 1, 2.0), list(1, 1, 3.0), + list(1, 2, 4.0), list(2, 1, 1.0), list(2, 2, 5.0)) +df <- createDataFrame(data, c("userId", "movieId", "rating")) +training <- df +test <- df + +# Fit a recommendation model using ALS with spark.als +model <- spark.als(training, maxIter = 5, regParam = 0.01, userCol = "userId", + itemCol = "movieId", ratingCol = "rating") + +# Model summary +summary(model) + +# Prediction +predictions <- predict(model, test) +showDF(predictions) +# $example off$ |