Spark ML is a high-level API for building machine learning pipelines in Apache Spark.
I trained a LogisticRegression model in PySpark (ML package) and the result of the prediction is a PySpark DataFrame (cv_…
python apache-spark pyspark spark-dataframe apache-spark-mlI was applying some Machine Learning algorithms like Linear Regression, Logistic Regression, and Naive Bayes to some data, but I …
apache-spark pyspark apache-spark-mllib apache-spark-mlI have a DataFrame with the schema root |-- label: string (nullable = true) |-- features: struct (nullable = true) | |-- feat1: …
scala apache-spark dataframe apache-spark-sql apache-spark-mlI want to update my code of pyspark. In the pyspark, it must put the base model in a pipeline, …
apache-spark pyspark apache-spark-mllib xgboost apache-spark-mlI want to evaluate a random forest being trained on some data. Is there any utility in Apache Spark to …
apache-spark random-forest cross-validation apache-spark-ml apache-spark-mllibI am new to Spark SQL DataFrames and ML on them (PySpark). How can I create a custom tokenizer, which …
python apache-spark nltk pyspark apache-spark-mlI'm wondering if there is a concise way to run ML (e.g KMeans) on a DataFrame in pyspark if …
python apache-spark pyspark apache-spark-mlLooking at http://spark.apache.org/docs/latest/mllib-dimensionality-reduction.html. The examples seem to only contain Java and Scala. Does …
python apache-spark apache-spark-mllib pca apache-spark-mlI noticed there are two LinearRegressionModel classes in SparkML, one in ML and another one in MLLib package. These two …
apache-spark apache-spark-mllib apache-spark-mlI have a bizarre issue with PySpark when indexing column of strings in features. Here is my tmp.csv file: …
python apache-spark apache-spark-sql pyspark apache-spark-ml