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libSVM formatDE/spark 2022. 10. 31. 13:54
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##for observation 1 to n, feature 1 to i {target column_1} {feature index 1} : {feature value 1} ... {feature index k} : {feature value k} ... {target column_n} {feature index 2} : {feature value 2} ... {feature index i} : {feature value i}
How to understand the format type of libsvm of Spark MLlib?
I am new for learning Spark MLlib. When I was reading about the example of Binomial logistic regression, I don't understand the format type of "libsvm". (Binomial logistic regression) The text looks
stackoverflow.com
공식 docum : https://spark.apache.org/docs/2.0.2/mllib-data-types.html
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