def test(): from mindsdb.libs.controllers.mindsdb_controller import MindsDBController as MindsDB mdb = MindsDB() mdb.learn(from_query='select * from position_tgt', predict='position', model_name='mdsb_model', test_query=None, breakpoint=PHASE_DATA_STATS)
def test(): from mindsdb.libs.controllers.mindsdb_controller import MindsDBController as MindsDB import logging mdb = MindsDB() ret = mdb.predict(predict='position', when={'max_time_rec': 700}, model_name='mdsb_model') logging.info(ret)
def test(): from mindsdb.libs.controllers.mindsdb_controller import MindsDBController as MindsDB mdb = MindsDB() mdb.learn(from_query='select * from position_target_table', group_by='id', order_by=['max_time_rec'], predict='position', model_name='mdsb_model', breakpoint=PHASE_DATA_VECTORIZATION)
def test(): from mindsdb.libs.controllers.mindsdb_controller import MindsDBController as MindsDB mdb = MindsDB() mdb.learn(from_query=''' select id, max_time_rec, min_time_rec, position from position_target_table ''', from_file=CONFIG.MINDSDB_STORAGE_PATH + '/position_target_table.csv', group_by='id', order_by=['max_time_rec'], predict='position', model_name='mdsb_model', breakpoint=PHASE_MODEL_TRAINER)