docstr: Flag whether the model has been fitted or not.
docstr_tok: ["Flag","whether","the","model","has","been","fitted","or","not","."]
code: def is_fit(self):
      """Flag whether the model has been fitted or not."""
      return self.model.is_fit()
  
imports: import numpy
  import tensorflow
  from ampligraph.latent_features.loss_functions import get
  from ampligraph.latent_features.models import ScoringBasedEmbeddingModel
  from ampligraph.latent_features.optimizers import get
  from ampligraph.latent_features.regularizers import get
label_desc: Use image node_id 3 for calling the ScoringModelBase obj's underlying member method code with example usage: obj.is_fit() and returns: self