class_docstr: Automated Machine Learning for supervised tasks (binary classification, multiclass classification, regression).
class_docstr_tok: ["Automated","Machine","Learning","for","supervised","tasks","(","binary","classification",",","multiclass","classification",",","regression",")","."]
docstr: Computes both class probabilities and class labels for classification tasks.
  Computes predictions for regression tasks.
  
  Arguments:
      X (list or numpy.ndarray or pandas.DataFrame):
          Input values to make predictions on.
  
  Returns:
      pandas.Dataframe:
          Dataframe (n_samples, n_classes + 1) containing both class probabilities and class
          labels of the input samples for classification tasks.
          Dataframe with predictions for regression tasks.
  
  Raises:
      AutoMLException: Model has not yet been fitted.
docstr_tok: ["Computes","both","class","probabilities","and","class","labels","for","classification","tasks",".","Computes","predictions","for","regression","tasks",".","Arguments",":","X","(","list","or","numpy.ndarray","or","pandas.DataFrame",")",":","Input","values","to","make","predictions","on",".","Returns",":","pandas.Dataframe",":","Dataframe","(","n_samples",",","n_classes","+","1",")","containing","both","class","probabilities","and","class","labels","of","the","input","samples","for","classification","tasks",".","Dataframe","with","predictions","for","regression","tasks",".","Raises",":","AutoMLException",":","Model","has","not","yet","been","fitted","."]
code: def predict_all(
      self, X: Union[List, numpy.ndarray, pandas.DataFrame]
  ) -> pandas.DataFrame:
      """
      Computes both class probabilities and class labels for classification tasks.
      Computes predictions for regression tasks.
  
      Arguments:
          X (list or numpy.ndarray or pandas.DataFrame):
              Input values to make predictions on.
  
      Returns:
          pandas.Dataframe:
              Dataframe (n_samples, n_classes + 1) containing both class probabilities and class
              labels of the input samples for classification tasks.
              Dataframe with predictions for regression tasks.
  
      Raises:
          AutoMLException: Model has not yet been fitted.
  
      """
      return self._predict_all(X)
  
imports: import logging
  import matplotlib
  import warnings
  from collections.abc import Iterable
  from re import U
  from typing import List, Optional, Union
  import numpy
  import pandas
  from typing_extensions import Literal
  from supervised.base_automl import BaseAutoML
  from supervised.utils.config import LOG_LEVEL
label_desc: Use image node_id 5 for calling the AutoML obj's underlying member method code with example usage: obj.predict_all(X) and returns: self