object SparkNLP

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  4. val MavenGpuSpark23: String
  5. val MavenGpuSpark24: String
  6. val MavenGpuSpark30: String
  7. val MavenGpuSpark32: String
  8. val MavenSpark23: String
  9. val MavenSpark24: String
  10. val MavenSpark30: String
  11. val MavenSpark32: String
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  24. def start(gpu: Boolean = false, spark23: Boolean = false, spark24: Boolean = false, spark32: Boolean = false, memory: String = "16G", cache_folder: String = "", log_folder: String = "", cluster_tmp_dir: String = ""): SparkSession

    Start SparkSession with Spark NLP

    Start SparkSession with Spark NLP

    gpu

    start Spark NLP with GPU

    spark23

    start Spark NLP on Apache Spark 2.3.x

    spark24

    start Spark NLP on Apache Spark 2.4.x

    spark32

    start Spark NLP on Apache Spark 3.2.x

    memory

    set driver memory for SparkSession

    cache_folder

    The location to download and exctract pretrained Models and Pipelines

    log_folder

    The location to save logs from annotators during training such as NerDLApproach, ClassifierDLApproach, SentimentDLApproach, MultiClassifierDLApproach, etc.

    cluster_tmp_dir

    The location to use on a cluster for temporarily files such as unpacking indexes for WordEmbeddings

    returns

    SparkSession

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