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.gitattributes CHANGED
@@ -34,3 +34,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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  custom_nlp_model/ner/model filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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  custom_nlp_model/ner/model filter=lfs diff=lfs merge=lfs -text
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+ text_categorizer_model/textcat/model filter=lfs diff=lfs merge=lfs -text
text_categorizer_model/config.cfg ADDED
@@ -0,0 +1,144 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ [paths]
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+ train = null
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+ dev = null
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+ vectors = null
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+ init_tok2vec = null
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+
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+ [system]
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+ seed = 0
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+ gpu_allocator = null
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+
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+ [nlp]
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+ lang = "en"
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+ pipeline = ["textcat"]
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+ disabled = []
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+ before_creation = null
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+ after_creation = null
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+ after_pipeline_creation = null
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+ batch_size = 1000
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+ tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
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+ vectors = {"@vectors":"spacy.Vectors.v1"}
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+
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+ [components]
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+
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+ [components.textcat]
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+ factory = "textcat"
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+ scorer = {"@scorers":"spacy.textcat_scorer.v2"}
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+ threshold = 0.0
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+
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+ [components.textcat.model]
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+ @architectures = "spacy.TextCatEnsemble.v2"
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+ nO = null
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+
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+ [components.textcat.model.linear_model]
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+ @architectures = "spacy.TextCatBOW.v3"
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+ exclusive_classes = true
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+ length = 262144
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+ ngram_size = 1
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+ no_output_layer = false
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+ nO = null
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+
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+ [components.textcat.model.tok2vec]
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+ @architectures = "spacy.Tok2Vec.v2"
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+
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+ [components.textcat.model.tok2vec.embed]
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+ @architectures = "spacy.MultiHashEmbed.v2"
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+ width = 64
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+ rows = [2000,2000,500,1000,500]
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+ attrs = ["NORM","LOWER","PREFIX","SUFFIX","SHAPE"]
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+ include_static_vectors = false
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+
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+ [components.textcat.model.tok2vec.encode]
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+ @architectures = "spacy.MaxoutWindowEncoder.v2"
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+ width = 64
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+ window_size = 1
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+ maxout_pieces = 3
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+ depth = 2
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+
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+ [corpora]
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+
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+ [corpora.dev]
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+ @readers = "spacy.Corpus.v1"
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+ path = ${paths.dev}
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+ gold_preproc = false
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+ max_length = 0
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+ limit = 0
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+ augmenter = null
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+
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+ [corpora.train]
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+ @readers = "spacy.Corpus.v1"
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+ path = ${paths.train}
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+ gold_preproc = false
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+ max_length = 0
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+ limit = 0
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+ augmenter = null
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+
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+ [training]
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+ seed = ${system.seed}
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+ gpu_allocator = ${system.gpu_allocator}
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+ dropout = 0.1
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+ accumulate_gradient = 1
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+ patience = 1600
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+ max_epochs = 0
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+ max_steps = 20000
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+ eval_frequency = 200
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+ frozen_components = []
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+ annotating_components = []
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+ dev_corpus = "corpora.dev"
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+ train_corpus = "corpora.train"
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+ before_to_disk = null
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+ before_update = null
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+
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+ [training.batcher]
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+ @batchers = "spacy.batch_by_words.v1"
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+ discard_oversize = false
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+ tolerance = 0.2
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+ get_length = null
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+
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+ [training.batcher.size]
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+ @schedules = "compounding.v1"
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+ start = 100
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+ stop = 1000
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+ compound = 1.001
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+ t = 0.0
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+
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+ [training.logger]
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+ @loggers = "spacy.ConsoleLogger.v1"
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+ progress_bar = false
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+
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+ [training.optimizer]
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+ @optimizers = "Adam.v1"
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+ beta1 = 0.9
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+ beta2 = 0.999
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+ L2_is_weight_decay = true
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+ L2 = 0.01
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+ grad_clip = 1.0
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+ use_averages = false
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+ eps = 0.00000001
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+ learn_rate = 0.001
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+
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+ [training.score_weights]
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+ cats_score = 1.0
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+ cats_score_desc = null
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+ cats_micro_p = null
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+ cats_micro_r = null
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+ cats_micro_f = null
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+ cats_macro_p = null
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+ cats_macro_r = null
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+ cats_macro_f = null
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+ cats_macro_auc = null
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+ cats_f_per_type = null
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+
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+ [pretraining]
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+
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+ [initialize]
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+ vectors = ${paths.vectors}
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+ init_tok2vec = ${paths.init_tok2vec}
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+ vocab_data = null
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+ lookups = null
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+ before_init = null
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+ after_init = null
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+
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+ [initialize.components]
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+
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+ [initialize.tokenizer]
text_categorizer_model/meta.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "lang":"en",
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+ "name":"pipeline",
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+ "version":"0.0.0",
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+ "spacy_version":">=3.7.5,<3.8.0",
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+ "description":"",
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+ "author":"",
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+ "email":"",
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+ "url":"",
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+ "license":"",
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+ "spacy_git_version":"a6d0fc360",
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+ "vectors":{
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+ "width":0,
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+ "vectors":0,
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+ "keys":0,
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+ "name":null,
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+ "mode":"default"
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+ },
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+ "labels":{
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+ "textcat":[
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+ "on",
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+ "off"
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+ ]
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+ },
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+ "pipeline":[
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+ "textcat"
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+ ],
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+ "components":[
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+ "textcat"
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+ ],
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+ "disabled":[
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+
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+ ]
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+ }
text_categorizer_model/textcat/cfg ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
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+ {
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+ "labels":[
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+ "on",
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+ "off"
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+ "threshold":0.0,
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+ "positive_label":null
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+ }
text_categorizer_model/textcat/model ADDED
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951
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952
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953
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954
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955
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956
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957
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958
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959
+ "mass.",
960
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961
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962
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963
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964
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965
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966
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967
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968
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969
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970
+ "minn.",
971
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972
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973
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974
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975
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976
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977
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978
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979
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980
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981
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982
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983
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984
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985
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986
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987
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989
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990
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991
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992
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993
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994
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995
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997
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1000
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1001
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1002
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1003
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1005
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1006
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1009
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1010
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1011
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1012
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1013
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1014
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1015
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1016
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1017
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1018
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1019
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1020
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1021
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1022
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1024
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1026
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1027
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1033
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1035
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1036
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1038
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1042
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1043
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1060
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1063
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1065
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1066
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1067
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1068
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1069
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1070
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1071
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1072
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1073
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1075
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1077
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1078
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1079
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1080
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1081
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1082
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1083
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1084
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1085
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1086
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1087
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1088
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1089
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1090
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1091
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1092
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1093
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1094
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1095
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1096
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1098
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1099
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1100
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1101
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1102
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1103
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1104
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1105
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1106
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1107
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1109
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1110
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1111
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1112
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1113
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1125
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1134
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1161
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1162
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1165
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1166
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1167
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1170
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1171
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1172
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1173
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1174
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1175
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1176
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1177
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1178
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1179
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1180
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1181
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1182
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1183
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1184
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1185
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1186
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1187
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1188
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1189
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1190
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1191
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1192
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1193
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1194
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1195
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1196
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1197
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1198
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1199
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1200
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1201
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1202
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1205
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1206
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1207
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1208
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1210
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1211
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1212
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1213
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1214
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1216
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1217
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1218
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1219
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1220
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1221
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1222
+ "x'xxxx",
1223
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1224
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1225
+ "x.d",
1226
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1227
+ "x.x.",
1228
+ "x/x",
1229
+ "xD",
1230
+ "xDD",
1231
+ "xX",
1232
+ "xXX",
1233
+ "x_X",
1234
+ "x_d",
1235
+ "x_x",
1236
+ "xd",
1237
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1238
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1239
+ "xx'",
1240
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1241
+ "xx'xx",
1242
+ "xx.",
1243
+ "xxx",
1244
+ "xxx'x",
1245
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1246
+ "xxxx",
1247
+ "xxxx'",
1248
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1249
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1250
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1251
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1252
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1253
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1254
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1255
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1256
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1257
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1258
+ "x\ufe35x",
1259
+ "y",
1260
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1261
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1262
+ "y.",
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+ "you",
1264
+ "y\u2019",
1265
+ "y\u2019s",
1266
+ "z",
1267
+ "z.",
1268
+ "|",
1269
+ "}",
1270
+ "\u00a0",
1271
+ "\u00ac",
1272
+ "\u00ac_\u00ac",
1273
+ "\u00af",
1274
+ "\u00af\\(x)/\u00af",
1275
+ "\u00af\\(\u30c4)/\u00af",
1276
+ "\u00b0",
1277
+ "\u00b0C.",
1278
+ "\u00b0F.",
1279
+ "\u00b0K.",
1280
+ "\u00b0X.",
1281
+ "\u00b0c.",
1282
+ "\u00b0f.",
1283
+ "\u00b0k.",
1284
+ "\u00b0x.",
1285
+ "\u00e4",
1286
+ "\u00e4.",
1287
+ "\u00f6",
1288
+ "\u00f6.",
1289
+ "\u00fc",
1290
+ "\u00fc.",
1291
+ "\u0ca0",
1292
+ "\u0ca0_\u0ca0",
1293
+ "\u0ca0\ufe35\u0ca0",
1294
+ "\u2014",
1295
+ "\u2018",
1296
+ "\u2018S",
1297
+ "\u2018X",
1298
+ "\u2018s",
1299
+ "\u2018x",
1300
+ "\u2019",
1301
+ "\u2019-(",
1302
+ "\u2019-)",
1303
+ "\u2019Cause",
1304
+ "\u2019Cos",
1305
+ "\u2019Coz",
1306
+ "\u2019Cuz",
1307
+ "\u2019S",
1308
+ "\u2019X",
1309
+ "\u2019Xxx",
1310
+ "\u2019Xxxxx",
1311
+ "\u2019am",
1312
+ "\u2019bout",
1313
+ "\u2019cause",
1314
+ "\u2019cos",
1315
+ "\u2019coz",
1316
+ "\u2019cuz",
1317
+ "\u2019d",
1318
+ "\u2019em",
1319
+ "\u2019ll",
1320
+ "\u2019m",
1321
+ "\u2019nuff",
1322
+ "\u2019re",
1323
+ "\u2019s",
1324
+ "\u2019ve",
1325
+ "\u2019x",
1326
+ "\u2019xx",
1327
+ "\u2019xxx",
1328
+ "\u2019xxxx",
1329
+ "\u2019y",
1330
+ "\u2019\u2019",
1331
+ "\u2501",
1332
+ "\u253b",
1333
+ "\u253b\u2501\u253b",
1334
+ "\u256f",
1335
+ "\u25a1",
1336
+ "\ufe35",
1337
+ "\uff09"
1338
+ ]
text_categorizer_model/vocab/vectors ADDED
Binary file (128 Bytes). View file
 
text_categorizer_model/vocab/vectors.cfg ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
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+ "mode":"default"
3
+ }