class_docstr: Logistic Regression classifier, implemented in PyTorch, for use with
  TPOT.
  
  For examples on standalone use (i.e., non-TPOT) refer to:
  https://github.com/trang1618/tpot-nn/blob/master/tpot_nn/estimator_sandbox.py
class_docstr_tok: ["Logistic","Regression","classifier",",","implemented","in","PyTorch",",","for","use","with","TPOT",".","For","examples","on","standalone","use","(","i.e.",",","non-TPOT",")","refer","to",":","https",":","\/\/github.com\/trang1618\/tpot-nn\/blob\/master\/tpot_nn\/estimator_sandbox.py"]
code: def _more_tags(self):
      return {"non_deterministic": True, "binary_only": True}
  
imports: from abc import abstractmethod
  import numpy
  from sklearn.base import BaseEstimator, ClassifierMixin
  from sklearn.utils.validation import check_X_y, assert_all_finite, check_array, check_is_fitted
  from sklearn.utils.multiclass import type_of_target
label_desc: Use image node_id 3 for calling the PytorchLRClassifier obj's underlying member method code with example usage: obj._more_tags() and returns: dict