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)