sparkit-learn | PySpark + Scikit-learn = Sparkit-learn

 by   lensacom Python Version: Current License: Apache-2.0

kandi X-RAY | sparkit-learn Summary

kandi X-RAY | sparkit-learn Summary

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PySpark + Scikit-learn = Sparkit-learn
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            sparkit-learn Key Features

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            sparkit-learn Examples and Code Snippets

            How to convert spark sql dataframe to numpy array?
            Pythondot img1Lines of Code : 13dot img1License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            sqlContext.range(0, 10).toPandas().values  # .reshape(-1) for 1d array
            
            array([[0],
                   [1],
                   [2],
                   [3],
                   [4],
                   [5],
                   [6],
                   [7],
                   [8],
                   [9]])
            
            type error when using Sparkit-Learn's SparkCountVectorizer()
            Pythondot img2Lines of Code : 16dot img2License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            my_rdd_of_rows = sc.parallelize([("some text ", )]).toDF(["columnoftexts"]).rdd
            
            ArrayRDD(my_rdd_of_rows).first().shape
            
            (1, 1)
            
            ArrayRDD(sc.parallelize(["some text "]

            Community Discussions

            QUESTION

            weird transpose behavior with Sparkit-Learn
            Asked 2017-Jan-27 at 13:00

            I'm using Sparkit-Learn's SparkCountVectorizer and SparkTfidfVectorizer to convert a bunch of documents into a TFIDF matrix.

            I get to create the TFIDF matrix and it has the correct dimensions (496,861 documents by 189,398 distinct tokens):

            ...

            ANSWER

            Answered 2017-Jan-27 at 13:00

            You transpose a wrong thing. splearn.rdd.SparseRDD stores blocks of data, so you transpose blocks not individual vectors. If block has 7764 row and 18938 columns, then transposed one has 18938 rows and 7764 columns which will be iterated row by row when flattened.

            What you need is:

            Source https://stackoverflow.com/questions/41884144

            QUESTION

            type error when using Sparkit-Learn's SparkCountVectorizer()
            Asked 2017-Jan-09 at 18:52

            I want to use Sparkit-Learn to vectorize a collection of texts. I read the texts from SQL Server. What I get back is a DataFrame, which I convert to an RDD (as Sparkit-Learn doesn't handle DataFrames) and then to an ArrayRDD. Problem is, I get a type error when I try to vectorize the ArrayRDD:

            ...

            ANSWER

            Answered 2017-Jan-09 at 18:52

            Then source of the problem is in front of your eyes. Let's simplify this a bit.

            Source https://stackoverflow.com/questions/41553652

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

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            Install sparkit-learn

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