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spark mllib tutorial

from pyspark import SparkConf, SparkContext
from pyspark.sql import SQLContext
Sc = SparkContext()
sqlContext = SQLContext(sc)
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spark mllib tutorial

# Use the Spark CSV datasource with options specifying:
# - First line of file is a header
# - Automatically infer the schema of the data
data = spark.read.format("csv") 
  .option("header", "true") 
  .option("inferSchema", "true") 
  .load("/databricks-datasets/samples/population-vs-price/data_geo.csv")

data.cache() # Cache data for faster reuse
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