class_docstr: Base class for random projections.
  
  Warning: This class should not be used directly.
  Use derived classes instead.
docstr: Compute the pseudo-inverse of the (densified) components.
code: def _compute_inverse_components(self):
      """Compute the pseudo-inverse of the (densified) components."""
      components = self.components_
      if sp.issparse(components):
          components = components.toarray()
      return linalg.pinv(components, check_finite=False)
  
imports: import warnings
  from abc import ABCMeta, abstractmethod
  from numbers import Integral, Real
  import numpy
  import scipy.sparse
  from scipy import linalg
  from .base import BaseEstimator, ClassNamePrefixFeaturesOutMixin, TransformerMixin, _fit_context
  from .exceptions import DataDimensionalityWarning
  from .utils import check_random_state
  from .utils._param_validation import Interval, StrOptions, validate_params
  from .utils.extmath import safe_sparse_dot
  from .utils.random import sample_without_replacement
  from .utils.validation import check_array, check_is_fitted
label_desc: Use image node_id 3 for calling the BaseRandomProjection obj's underlying member method code with example usage: obj._compute_inverse_components() and returns: linalg