class_docstr: Metric for Corrected F1-Score
  Based on 'Estimating classification accuracy in positive-unlabeled learning: characterization and correction strategies' 
docstr: Return Corrected estimate of F1 Score
docstr_tok: ["Return","Corrected","estimate","of","F1","Score"]
code: def _calculate_f1_corrected(
      gamma_cr: Tensor, theta: Tensor, c_cr: Tensor
  ):
      """Return Corrected estimate of F1 Score"""
      return (2 * c_cr * gamma_cr) / (c_cr + theta)
  
imports: from turtle import pos
  from torchmetrics import StatScores, Metric
  from torchmetrics.utilities.enums import AverageMethod
  from typing import Any, Dict, Optional, List
  import torch
  from torch import Tensor
  import pandas
  import numpy
  import os
  from itertools import product
  from torchmetrics.utilities.data import dim_zero_cat
  import itertools
label_desc: Use image node_id 7 for calling the CorrectedF1 obj's underlying member method code with example usage: obj._calculate_f1_corrected(gamma_cr, theta, c_cr) and returns: unknown