com.johnsnowlabs.nlp.annotators
internal types to show Rows as a relevant StructType Should be deleted once Spark releases UserDefinedTypes to @developerAPI
internal types to show Rows as a relevant StructType Should be deleted once Spark releases UserDefinedTypes to @developerAPI
Searches entities and stores them in the annotation.
Searches entities and stores them in the annotation. Defines annotator phrase matching depending on whether we are using SBD or not
Annotations that correspond to inputAnnotationCols generated by previous annotators if any
Extracted Entities
Whether the TextMatcher should take the CHUNK from TOKEN or not
requirement for annotators copies
requirement for annotators copies
Wraps annotate to happen inside SparkSQL user defined functions in order to act with org.apache.spark.sql.Column
Wraps annotate to happen inside SparkSQL user defined functions in order to act with org.apache.spark.sql.Column
udf function to be applied to inputCols using this annotator's annotate function as part of ML transformation
Value for the entity metadata field
Override for additional custom schema checks
Override for additional custom schema checks
Getter for buildFromTokens param
Getter for Value for the entity metadata field
input annotations columns currently used
Whether to merge overlapping matched chunks.
Whether to merge overlapping matched chunks. Defaults false
Gets annotation column name going to generate
Gets annotation column name going to generate
input annotator type : DOCUMENT, TOKEN
input annotator type : DOCUMENT, TOKEN
columns that contain annotations necessary to run this annotator AnnotatorType is used both as input and output columns if not specified
columns that contain annotations necessary to run this annotator AnnotatorType is used both as input and output columns if not specified
whether to merge overlapping matched chunks.
whether to merge overlapping matched chunks. Defaults false
Output annotator type : CHUNK
Output annotator type : CHUNK
searchTrie for Searching words
Setter for buildFromTokens param
Setter for Value for the entity metadata field
Overrides required annotators column if different than default
Overrides required annotators column if different than default
Whether to merge overlapping matched chunks.
Whether to merge overlapping matched chunks. Defaults false
Overrides annotation column name when transforming
Overrides annotation column name when transforming
SearchTrie of Tokens
Given requirements are met, this applies ML transformation within a Pipeline or stand-alone Output annotation will be generated as a new column, previous annotations are still available separately metadata is built at schema level to record annotations structural information outside its content
Given requirements are met, this applies ML transformation within a Pipeline or stand-alone Output annotation will be generated as a new column, previous annotations are still available separately metadata is built at schema level to record annotations structural information outside its content
Dataset[Row]
requirement for pipeline transformation validation.
requirement for pipeline transformation validation. It is called on fit()
internally renquired UID to make it writable
internally renquired UID to make it writable
takes a Dataset and checks to see if all the required annotation types are present.
takes a Dataset and checks to see if all the required annotation types are present.
to be validated
True if all the required types are present, else false
Required input and expected output annotator types
Extracts entities out of provided phrases