Package Documentation

• sciwing.api
  • sciwing.api.routers
    • citation_intent_clf
    • i2b2
    • parscit
    • pdf_pipeline
    • sectlabel
• sciwing.cli
  • sciwing_interact
  • s3_mv_cli
• sciwing.commands
  • validators
• sciwing.datasets
  • sciwing.datasets.classification
    • base_text_classification
    • text_classification_dataset
  • sciwing.datasets.seq_labeling
    • base_seq_labeling
    • seq_labelling_dataset
• sciwing.engine
  • engine
• sciwing.infer
  • sciwing.infer.classification
    • BaseClassificationInference
    • Classification Inference
  • sciwing.infer.seq_label_inference
    • BaseSeqLabelInference
    • CONLL Inference
    • SeqLabel Inference
• sciwing.meters
  • loss_meter
• sciwing.metrics
  • BaseMetric
  • classification_metrics_utils
  • precision_recall_measure
  • token_cls_accuracy
• sciwing.models
  • Simple Classifier
  • Simple Tagger
  • Neural Parscit
  • Citation Intent Classification
  • Generic Section Header Classification
  • I2B2 NER
  • SectLabel
• sciwing.modules
  • sciwing.modules.embedders
    • bert_embedder
    • bow_elmo_embedder
    • char_embedder
    • concat_embedders
    • elmo_embedder
    • flair_embedder
    • trainable_word_embedder
    • word_embedder
  • bow_encoder
  • charlstm_encoder
  • lstm2seqencoder
  • lstm2vecencoder
• sciwing.numericalizer
  • numericalizer
  • transformer_numericalizer
• sciwing.preprocessing
  • instance_preprocessing
• sciwing.tokenizers
  • BaseTokenizer
  • bert_tokenizer
  • character_tokenizer
  • word_tokenizer
• sciwing.utils
  • Amazon S3 Utils
  • Class Nursery
  • Common Utils
  • Custom Spacy Tokenizers
  • Custom Exceptions
  • Science IE Data Utils
  • Sciwing TOML Runner
  • Tensor Utils
  • NER Terminal Visualizer