`sparknlp_jsl.eval`#

Module Contents#

Classes#

`NerCrfEvaluation`	Wrapper class for a Java companion object
`NerDLEvaluation`	Wrapper class for a Java companion object
`NerDLMetrics`	Wrapper class for a Java companion object
`NorvigSpellEvaluation`	Wrapper class for a Java companion object
`POSEvaluation`	Wrapper class for a Java companion object
`SymSpellEvaluation`	Wrapper class for a Java companion object

class NerCrfEvaluation(spark, test_file, tag_level='')#

Bases: sparknlp.internal.ExtendedJavaWrapper

Wrapper class for a Java companion object

java_obj#

sc = None#

apply()#

computeAccuracyAnnotator(train_file, ner, embeddings)#

computeAccuracyModel(ner)#

getDataFrame(spark, jdf)#

new_java_array(pylist, java_class)#: ToDo: Inspired from spark 2.0. Review if spark changes

new_java_array_integer(pylist)#

new_java_array_string(pylist)#

new_java_obj(java_class, *args)#

spark_version()#

class NerDLEvaluation(spark, test_file, tag_level='')#

Bases: sparknlp.internal.ExtendedJavaWrapper

Wrapper class for a Java companion object

java_obj#

sc = None#

apply()#

computeAccuracyAnnotator(train_file, ner, embeddings)#

computeAccuracyModel(ner)#

getDataFrame(spark, jdf)#

new_java_array(pylist, java_class)#: ToDo: Inspired from spark 2.0. Review if spark changes

new_java_array_integer(pylist)#

new_java_array_string(pylist)#

new_java_obj(java_class, *args)#

spark_version()#

class NerDLMetrics(mode='full_chunk')#

Bases: sparknlp.internal.ExtendedJavaWrapper

Wrapper class for a Java companion object

java_obj#

sc = None#

apply()#

computeMetricsFromDF(df, prediction_col='ner', label_col='label', drop_o=True, case_sensitive=True)#

getDataFrame(spark, jdf)#

new_java_array(pylist, java_class)#: ToDo: Inspired from spark 2.0. Review if spark changes

new_java_array_integer(pylist)#

new_java_array_string(pylist)#

new_java_obj(java_class, *args)#

spark_version()#

class NorvigSpellEvaluation(spark, test_file, ground_truth_file)#

Bases: sparknlp.internal.ExtendedJavaWrapper

Wrapper class for a Java companion object

java_obj#

sc = None#

apply()#

computeAccuracyAnnotator(train_file, spell)#

computeAccuracyModel(spell)#

getDataFrame(spark, jdf)#

new_java_array(pylist, java_class)#: ToDo: Inspired from spark 2.0. Review if spark changes

new_java_array_integer(pylist)#

new_java_array_string(pylist)#

new_java_obj(java_class, *args)#

spark_version()#

class POSEvaluation(spark, test_file)#

Bases: sparknlp.internal.ExtendedJavaWrapper

Wrapper class for a Java companion object

java_obj#

sc = None#

apply()#

computeAccuracyAnnotator(train_file, pos)#

computeAccuracyModel(pos)#

getDataFrame(spark, jdf)#

new_java_array(pylist, java_class)#: ToDo: Inspired from spark 2.0. Review if spark changes

new_java_array_integer(pylist)#

new_java_array_string(pylist)#

new_java_obj(java_class, *args)#

spark_version()#

class SymSpellEvaluation(spark, test_file, ground_truth_file)#

Bases: sparknlp.internal.ExtendedJavaWrapper

Wrapper class for a Java companion object

java_obj#

sc = None#

apply()#

computeAccuracyAnnotator(train_file, spell)#

computeAccuracyModel(spell)#

getDataFrame(spark, jdf)#

new_java_array(pylist, java_class)#: ToDo: Inspired from spark 2.0. Review if spark changes

new_java_array_integer(pylist)#

new_java_array_string(pylist)#

new_java_obj(java_class, *args)#

spark_version()#

sparknlp_jsl.eval#

Module Contents#

Classes#

`sparknlp_jsl.eval`#