35 lines
968 B
Python
Executable File
35 lines
968 B
Python
Executable File
from pyspark.sql import SparkSession
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from pyspark.sql.functions import concat, lit, col
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from pyspark.sql.types import StructType,StructField, StringType, IntegerType
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if __name__ == '__main__':
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spark = SparkSession\
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.builder\
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.appName('He Said She Said')\
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.getOrCreate()
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X_schema = StructType([StructField('X', StringType(), True)])
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X_train = spark.read.csv('train/in.tsv', schema=X_schema)
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Y_train = spark.read.csv('train/expected.tsv', schema=StructType([StructField('Y', IntegerType(), True)]))
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X_train.show()
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train = X_train.join(Y_train, how='full_outer')
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train.show()
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# # $example on$
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# # Load training data
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# data = spark.read.format("libsvm") \
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# .load("sample_libsvm_data.txt")
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# print('data = ', data)
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# # Split the data into train and test
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# splits = data.randomSplit([0.6, 0.4], 1234)
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# train = splits[0]
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# test = splits[1]
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# print('train = ', train) |