0
映射詞
我開始我的旅程PySpark和我都停留在一個點,例: 我有這樣的代碼:(我把它從https://spark.apache.org/docs/2.1.0/ml-features.html)PySpark:使用標記生成器
from pyspark.ml.feature import Tokenizer, RegexTokenizer
from pyspark.sql.functions import col, udf
from pyspark.sql.types import IntegerType
sentenceDataFrame = spark.createDataFrame([
(0, "Hi I heard about Spark"),
(1, "I wish Java could use case classes"),
(2, "Logistic,regression,models,are,neat")
], ["id", "sentence"])
tokenizer = Tokenizer(inputCol="sentence", outputCol="words")
regexTokenizer = RegexTokenizer(inputCol="sentence", outputCol="words", pattern="\\W")
# alternatively, pattern="\\w+", gaps(False)
countTokens = udf(lambda words: len(words), IntegerType())
tokenized = tokenizer.transform(sentenceDataFrame)
tokenized.select("sentence", "words")\
.withColumn("tokens", countTokens(col("words"))).show(truncate=False)
regexTokenized = regexTokenizer.transform(sentenceDataFrame)
regexTokenized.select("sentence", "words") \
.withColumn("tokens", countTokens(col("words"))).show(truncate=False)
而且我加入了這樣的事情:
test = sqlContext.createDataFrame([
(0, "spark"),
(1, "java"),
(2, "i")
], ["id", "word"])
輸出是:
id |sentence |words |tokens|
+---+-----------------------------------+------------------------------------------+------+
|0 |Hi I heard about Spark |[hi, i, heard, about, spark] |5 |
|1 |I wish Java could use case classes |[i, wish, java, could, use, case, classes]|7 |
|2 |Logistic,regression,models,are,neat|[logistic, regression, models, are, neat] |5 |
上午I p ossible實現這樣的事情: [ID從「測試」,編號從「regexTokenized」]
2, 0
2, 1
1, 1
0, 1
從從那裏符號化「字」可以映射「測試」我可以「regexTokenized」虎視眈眈的ID列表在這兩個數據集? 或者應該採取另一種解決方案?
在預先感謝您的任何幫助:)