Spark ML is a high-level API for building machine learning pipelines in Apache Spark.
I am copying the pyspark.ml example from the official document website: http://spark.apache.org/docs/latest/api/python/…
apache-spark machine-learning pyspark distributed-computing apache-spark-mlHow do I handle categorical data with spark-ml and not spark-mllib ? Thought the documentation is not very clear, it seems …
apache-spark categorical-data apache-spark-ml apache-spark-mllibConsider the code given here, https://spark.apache.org/docs/1.2.0/ml-guide.html import org.apache.spark.ml.classification.LogisticRegression val …
scala apache-spark pyspark apache-spark-sql apache-spark-mlContext: I have a DataFrame with 2 columns: word and vector. Where the column type of "vector" is VectorUDT. An Example: …
python apache-spark pyspark apache-spark-sql apache-spark-mlShort version of the question! Consider the following snippet (assuming spark is already set to some SparkSession): from pyspark.sql …
python apache-spark pyspark apache-spark-sql apache-spark-mlI have a spark dataframe 'mydataframe' with many columns. I am trying to run kmeans on only two columns: lat …
machine-learning pyspark k-means apache-spark-mllib apache-spark-mlI have a Python class that I'm using to load and process some data in Spark. Among various things I …
python apache-spark apache-spark-sql apache-spark-mllib apache-spark-mlI'm tinkering with some cross-validation code from the PySpark documentation, and trying to get PySpark to tell me what model …
pyspark modeling cross-validation apache-spark-mllib apache-spark-mlMy goal is to build a multicalss classifier. I have built a pipeline for feature extraction and it includes as …
apache-spark apache-spark-mlI want to make libsvm format, so I made dataframe to the desired format, but I do not know how …
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