class_docstr: Custom series annotator.
  
  todo: write docstring, describing your custom forecaster
  
  Parameters
  ----------
  fmt : str {"dense", "sparse"}, optional (default="dense")
      Annotation output format:
      * If "sparse", a sub-series of labels for only the outliers in X is returned,
      * If "dense", a series of labels for all values in X is returned.
  labels : str {"indicator", "score"}, optional (default="indicator")
      Annotation output labels:
      * If "indicator", returned values are boolean, indicating whether a value is an
      outlier,
      * If "score", returned values are floats, giving the outlier score.
  
  parama : int
      descriptive explanation of parama
  paramb : string, optional (default='default')
      descriptive explanation of paramb
  paramc : boolean, optional (default= whether paramb is not the default)
      descriptive explanation of paramc
  and so on
  
  Components
  ----------
  est : sktime.estimator, BaseEstimator descendant
      descriptive explanation of est
  est2: another estimator
      descriptive explanation of est2
  and so on
docstr: Create annotations on test/deployment data.
  
  core logic
  
  Parameters
  ----------
  X : pd.DataFrame - data to annotate, time series
  
  Returns
  -------
  Y : pd.Series - annotations for sequence X
      exact format depends on annotation type
docstr_tok: ["Create","annotations","on","test\/deployment","data",".","core","logic","Parameters","--","--","--","--","--","X",":","pd.DataFrame","-","data","to","annotate",",","time","series","Returns","--","--","--","-","Y",":","pd.Series","-","annotations","for","sequence","X","exact","format","depends","on","annotation","type"]
code: def _predict(self, X):
      """Create annotations on test/deployment data.
  
      core logic
  
      Parameters
      ----------
      X : pd.DataFrame - data to annotate, time series
  
      Returns
      -------
      Y : pd.Series - annotations for sequence X
          exact format depends on annotation type
      """
  
file_path: sktime/extension_templates/annotation.py
imports: from sktime.annotation.base import BaseSeriesAnnotator
label_desc: Use image node_id 3 for calling the MySeriesAnnotator obj's underlying member method code with example usage: obj._predict(X) without return types