class_docstr: Represents a method that is ran for a given trial. I.e. support vector machine for a binary classification task.
docstr: Produces Method object from name.
  
  Args:
      name (str): Name of method to be created.
  
  Returns:
      Method: Created method.
docstr_tok: ["Produces","Method","object","from","name",".","Args",":","name","(","str",")",":","Name","of","method","to","be","created",".","Returns",":","Method",":","Created","method","."]
code: def from_name(cls: Type[T], name: str) -> T:
      """Produces Method object from name.
  
      Args:
          name (str): Name of method to be created.
  
      Returns:
          Method: Created method.
      """
      return cls(None, name, f"Method: {name}", "0.0.1", {}, {})
  
imports: import random
  from types import FunctionType
  import pandas
  from typing import Dict, Iterable
  from typing import Type, TypeVar
  from powerlift.bench.store import Store
  from typing import Union, Optional, List
  from dataclasses import dataclass
  from numbers import Number
  from powerlift.executors.base import Executor
  from powerlift.executors import LocalMachine
label_desc: Use image node_id 1 for calling the Method obj's underlying member method code with example usage: obj.from_name(cls, name) and returns: cls