class_docstr: Transformer for multivariate time series.
  
  It provides a convenient class to transform multivariate time series with
  transformers that can only deal with univariate time series.
  
  Parameters
  ----------
  estimator : estimator object or list thereof
      Transformer. If one estimator is provided, it is cloned and each clone
      transforms one feature. If a list of estimators is provided, each
      estimator transforms one feature.
  
  flatten : bool (default = True)
      Affect shape of transform output. If True, ``transform``
      returns an array with shape (n_samples, \*). If False, the output of
      ``transform`` from each estimator must have the same shape and
      ``transform`` returns an array with shape (n_samples, n_features, \*).
      Ignored if the transformers return sparse matrices.
  
  Attributes
  ----------
  estimators_ : list of estimator objects
      The collection of fitted transformers.
  
  Examples
  --------
  >>> from pyts.datasets import load_basic_motions
  >>> from pyts.multivariate.transformation import MultivariateTransformer
  >>> from pyts.image import GramianAngularField
  >>> X, _, _, _ = load_basic_motions(return_X_y=True)
  >>> transformer = MultivariateTransformer(GramianAngularField(),
  ...                                       flatten=False)
  >>> X_new = transformer.fit_transform(X)
  >>> X_new.shape
  (40, 6, 100, 100)
code: def __init__(self, estimator, flatten=True):
      self.estimator = estimator
      self.flatten = flatten
  
file_path: pyts/pyts/multivariate/transformation/multivariate.py
imports: import numpy
  from scipy.sparse import csr_matrix, hstack
  from sklearn.base import BaseEstimator, clone
  from sklearn.utils.validation import check_is_fitted
  from ...base import MultivariateTransformerMixin
  from ..utils import check_3d_array
label_desc: Use image node_id 1 to create a new MultivariateTransformer object from inherited base classes: BaseEstimator, MultivariateTransformerMixin with example: obj = MultivariateTransformer(estimator, flatten)