sparkocr#

Functions#

Attributes#

info()#

load_license_validator()#

retry(fun, max_tries=10)#

start(secret=None, jar_path=None, extra_conf=None, master_url='local[*]', nlp_version='6.4.0', nlp_internal=False, nlp_jsl=False, nlp_secret=None, m1=False, keys_file='keys.json', logLevel='WARN', use_gpu=False, apple_silicon=False)#

Create SparkSession with Spark OCR @param secret: Secret for get jar file from John Snow Labs server. @param jar_path: Local path to the jar file. @param extra_conf: Instance of SparkConf or dict with extra configuration. @param master_url: Master URL. @param nlp_version: Spark NLP version. If None run without Spark NLP. @param nlp_internal: Run with Spark NLP Internal. @param nlp_jsl: Run with Spark NLP JSL/Healthcare. Value may be version of NLP JSL or simply boolean @param nlp_secret: Secret for get Spark NLP Internal jar @param m1: Whether to enable M1 support for macOS @param keys_file: the path to a JSON file containing your keys and secret. Defaults to ‘keys.json’ @param logLevel: the log level for the Spark session. @param use_gpu: whether to use GPU or not. Applies to Spark NLP. Defaults to ‘False’. @apple_silicon: whether to use Apple Silicon binaries or not. Defaults to ‘False’. @return: SparkSession

version()#

johnsnowlabs_module#

spark32 = False#

spark_version = ''#

with_spark_nlp = False#

with_spark_nlp_jsl = False#

with_spark_nlp_jsl = True#