class_docstr: Base class for estimators that use libsvm as backing library
  
  This implements support vector machine classification and regression.
  
  Parameter documentation is in the derived `SVC` class.
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docstr: Perform regression on samples in X.
  
  For an one-class model, +1 or -1 is returned.
  
  Parameters
  ----------
  X : {array-like, sparse matrix}, shape (n_samples, n_features)
      For kernel="precomputed", the expected shape of X is
      (n_samples_test, n_samples_train).
  
  Returns
  -------
  y_pred : array, shape (n_samples,)
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code: def predict(self, X):
      """Perform regression on samples in X.
  
      For an one-class model, +1 or -1 is returned.
  
      Parameters
      ----------
      X : {array-like, sparse matrix}, shape (n_samples, n_features)
          For kernel="precomputed", the expected shape of X is
          (n_samples_test, n_samples_train).
  
      Returns
      -------
      y_pred : array, shape (n_samples,)
      """
      X = self._validate_for_predict(X)
      predict = (
          self._sparse_predict if self._sparse else self._dense_predict
      )
      return predict(X)
  
imports: from __future__ import print_function
  import numpy
  import scipy.sparse
  import warnings
  from abc import ABCMeta, abstractmethod
  from .None import libsvm, liblinear
  from .None import libsvm_sparse
  from ..base import BaseEstimator, ClassifierMixin
  from ..preprocessing import LabelEncoder
  from ..utils.multiclass import _ovr_decision_function
  from ..utils import check_array, check_consistent_length, check_random_state
  from ..utils import column_or_1d, check_X_y
  from ..utils import compute_class_weight, deprecated
  from ..utils.extmath import safe_sparse_dot
  from ..utils.validation import check_is_fitted
  from ..utils.multiclass import check_classification_targets
  from ..externals import six
  from ..exceptions import ChangedBehaviorWarning
  from ..exceptions import ConvergenceWarning
  from ..exceptions import NotFittedError
label_desc: Use image node_id 8 for calling the BaseLibSVM obj's underlying member method code with example usage: obj.predict(X) and returns: predict