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converts the input array of strings into an array of n-grams
“converts the input array of strings into an array of n-grams” Code Answer
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converts the input array of strings into an array of n-grams
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on Mar 15 2020
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# converts the input array of strings into an array of n-grams df = spark.createDataFrame([Row(inputTokens=[ "a", "b", "c", "d", "e"])]) ngram = NGram(n=2, inputCol="inputTokens", outputCol="nGrams") ngram.transform(df).head() # Row(inputTokens=[u'a', u'b', u'c', u'd', u'e'], nGrams=[u'ab', u'b c', u'c d', u'd e']) # Change n-gram Length ngram.setParams(n=4).transform(df).head() # Row(inputTokens=[u'a', u'b', u'c', u'd', u'd', u'e'], nGrams=[u'a b c d', u'b c d e']) # Temporarily modify output column. ngram.transform(df, {ngram.outputCol: "output"}).head() # Row(inputTokens=[u'a', u'b', u'c', u'd', u'e'], output=[u'a b c d', u'b c d e']) ngram.transform(df).head() # Row(inputTokens=[u'a', u'b', u'c', u'd', u'e'], nGrams=[u'a b c d', u'b c d e']) # Must use keyword arguments to specify params. ngram.setParams("text") # Traceback (most recent call last): # ... # TypeError: Method setParams forces keyword arguments. ngramPath = temp_path + "/ngram" ngram.save(ngramPath) loadedNGram = NGram.load(ngramPath) loadedNGram.getN() == ngram.getN() # True
Source:
spark.apache.org
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