johnsnowlabs-spark-nlp

问题 I saved a pre-trained model from spark-nlp, then I'm trying to run a Python script in Pycharm with anaconda env: Model_path = "./xxx" model = PipelineModel.load(Model_path) But I got the following error: (I tried with pyspark 2.4.4 & spark-nlp2.4.4, and pyspark 2.4.4 & spark-nlp2.5.4) Got the same error: 21/02/05 13:31:21 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable Using Spark's default log4j profile: org/apache

问题 I am using jupyter lab to run spark-nlp text analysis. At the moment I am just running the sample code: import sparknlp from pyspark.sql import SparkSession from sparknlp.pretrained import PretrainedPipeline #create or get Spark Session #spark = sparknlp.start() spark = SparkSession.builder \ .appName("ner")\ .master("local[4]")\ .config("spark.driver.memory","8G")\ .config("spark.driver.maxResultSize", "2G") \ .config("spark.jars.packages", "com.johnsnowlabs.nlp:spark-nlp_2.11:2.6.5")\

问题 I am using jupyter lab to run spark-nlp text analysis. At the moment I am just running the sample code: import sparknlp from pyspark.sql import SparkSession from sparknlp.pretrained import PretrainedPipeline #create or get Spark Session #spark = sparknlp.start() spark = SparkSession.builder \ .appName("ner")\ .master("local[4]")\ .config("spark.driver.memory","8G")\ .config("spark.driver.maxResultSize", "2G") \ .config("spark.jars.packages", "com.johnsnowlabs.nlp:spark-nlp_2.11:2.6.5")\

问题 I am trying to set up a simple code where I pass a dataframe and test it with the pretrained explain pipeline provided by johnSnowLabs Spark-NLP library. I am using jupyter notebooks from anaconda and have a spark scala kernet setup using apache toree. Everytime I run the step where it should load the pretrained pipeline, it throws a tensorflow error. Is there a way we can run this on windows locally? I was trying this in a maven project earlier and the same error had happened. Another