examples/src/main/r/ml/decisionTree.R - master - githubmirror/spark

examples/src/main/r/ml/decisionTree.R

65 строк2 KB

Zheng RuiFeng

[SPARK-20849][DOC][SPARKR] Document R DecisionTree

26 май 2017, 09:00

26 май 2017, 09:00a97c497

#
# 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/decisionTree.R

# Load SparkR library into your R session
library(SparkR)

# Initialize SparkSession
sparkR.session(appName = "SparkR-ML-decisionTree-example")

# DecisionTree classification model

# $example on:classification$
# Load training data
df <- read.df("data/mllib/sample_libsvm_data.txt", source = "libsvm")
training <- df
test <- df

# Fit a DecisionTree classification model with spark.decisionTree
model <- spark.decisionTree(training, label ~ features, "classification")

# Model summary
summary(model)

# Prediction
predictions <- predict(model, test)
head(predictions)
# $example off:classification$

# DecisionTree regression model

# $example on:regression$
# Load training data
df <- read.df("data/mllib/sample_linear_regression_data.txt", source = "libsvm")
training <- df
test <- df

# Fit a DecisionTree regression model with spark.decisionTree
model <- spark.decisionTree(training, label ~ features, "regression")

# Model summary
summary(model)

# Prediction
predictions <- predict(model, test)
head(predictions)
# $example off:regression$

sparkR.session.stop()