sudhakar07
/
gender_classification_ml_dvc


  
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            model:
  cv: CountVectorizer()
  cv__analyzer: word
  cv__binary: false
  cv__decode_error: strict
  cv__dtype: <class 'numpy.int64'>
  cv__encoding: utf-8
  cv__input: content
  cv__lowercase: true
  cv__max_df: 1.0
  cv__max_features: null
  cv__min_df: 1
  cv__ngram_range: (1, 1)
  cv__preprocessor: null
  cv__stop_words: null
  cv__strip_accents: null
  cv__token_pattern: (?u)\b\w\w+\b
  cv__tokenizer: null
  cv__vocabulary: null
  lr: LogisticRegression()
  lr__C: 1.0
  lr__class_weight: null
  lr__dual: false
  lr__fit_intercept: true
  lr__intercept_scaling: 1
  lr__l1_ratio: null
  lr__max_iter: 100
  lr__multi_class: auto
  lr__n_jobs: null
  lr__penalty: l2
  lr__random_state: null
  lr__solver: lbfgs
  lr__tol: 0.0001
  lr__verbose: 0
  lr__warm_start: false
  memory: null
  steps: '[(''cv'', CountVectorizer()), (''lr'', LogisticRegression())]'
  verbose: false
model_class: logisticregression