feature_analytics

class virtualitics_sdk.nlp.feature_analytics.FeatureExploration(pipeline_config_step, task_cls, feature_name, allow_download=True, **kwargs)

Bases: Step

static counting_occurrences_plot(feature_df, feature_name)
static create_distrib_num_doc_f_appears(feature_df, feature_name, task_cls)
static create_distrib_unique_feature_in_doc(feature_df, feature_name)
static produce_download_btn(store_interface, current_page, feature_df, feature_name, idx, section_title)
static produce_frequencies(feature_df, groupby)
run(flow_metadata)
class virtualitics_sdk.nlp.feature_analytics.SimplifiedRelevantEntities

Bases: Step

main_section = 'Relevant Entities'
run(flow_metadata, pyvip_client=None)
step_title = 'Relevant Entities Per Segment'
virtualitics_sdk.nlp.feature_analytics.dropdown_updater(store_interface, pyvip_client=None)