remove unused remnants

freqtrade/commands/__init__.py

@@ -19,7 +19,6 @@ from freqtrade.commands.list_commands import (start_list_exchanges, start_list_m
                                               start_show_trades)
 from freqtrade.commands.optimize_commands import (start_backtesting, start_backtesting_show,
                                                   start_edge, start_hyperopt)
-from freqtrade.commands.freqai_commands import (start_training)
 from freqtrade.commands.pairlist_commands import start_test_pairlist
 from freqtrade.commands.plot_commands import start_plot_dataframe, start_plot_profit
 from freqtrade.commands.trade_commands import start_trading

freqtrade/commands/arguments.py

@@ -190,8 +190,7 @@ class Arguments:
                                         start_list_markets, start_list_strategies,
                                         start_list_timeframes, start_new_config, start_new_strategy,
                                         start_plot_dataframe, start_plot_profit, start_show_trades,
-                                        start_test_pairlist, start_trading, start_webserver,
-                                        start_training)
+                                        start_test_pairlist, start_trading, start_webserver)
 
         subparsers = self.parser.add_subparsers(dest='command',
                                                 # Use custom message when no subhandler is added

freqtrade/commands/freqai_commands.py

@@ -1,24 +0,0 @@
-import logging
-from typing import Any, Dict
-
-from freqtrade import constants
-from freqtrade.configuration import setup_utils_configuration
-from freqtrade.enums import RunMode
-from freqtrade.exceptions import OperationalException
-from freqtrade.misc import round_coin_value
-
-
-logger = logging.getLogger(__name__)
-
-def start_training(args: Dict[str, Any]) -> None:
-    """
-    Train a model for predicting signals
-    :param args: Cli args from Arguments()
-    :return: None
-    """
-    from freqtrade.freqai.training import Training
-
-    config = setup_utils_configuration(args, RunMode.FREQAI)
-
-    training = Training(config)
-    training.start()