/
githubmirror
/
spark
Обзор
Документация
Войти
/
githubmirror
/
spark
Код
Запросы
0
Пакеты
0
Релизы
0
Аналитика
Безопасность
master
examples/src/main/r/ml/fmRegressor.R
45 строк
1 KB
zero323
[SPARK-30819][SPARKR][ML] Add FMRegressor wrapper to SparkR
10 апр 2020, 03:38
10 апр 2020, 03:38
697fe91
Код
Авторство
О чём код?
# # 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/fmRegressor.R # Load SparkR library into your R session library(SparkR) # Initialize SparkSession sparkR.session(appName = "SparkR-ML-fmRegressor-example") # $example on$ # Load training data df <- read.df("data/mllib/sample_linear_regression_data.txt", source = "libsvm") training_test <- randomSplit(df, c(0.7, 0.3)) training <- training_test[[1]] test <- training_test[[2]] # Fit a FM regression model model <- spark.fmRegressor(training, label ~ features) # Model summary summary(model) # Prediction predictions <- predict(model, test) head(predictions) # $example off$ sparkR.session.stop()