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create_data.py
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create_data.py
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import sys
import time
from src.driver import (
main_query,
main_query_dtype,
categorical_features,
numerical_features,
target,
)
from src.data import create_data_model
from quantile_forest import RandomForestQuantileRegressor, ExtraTreesQuantileRegressor
from xgboost import XGBRegressor
from sklearn.svm import SVR
# if there is a command line argument, use it as path, else use './data/'
path = sys.argv[1] if len(sys.argv) > 1 else "./data/"
create_data_model(
path=path,
main_query=main_query,
main_query_dtype=main_query_dtype,
numerical_features=numerical_features,
categorical_features=categorical_features,
model=RandomForestQuantileRegressor,
target=target,
test_size=0.12,
parameters={
# "kernel": 'rbf',
# "C": 1.0,
# "epsilon": 0.1,
# "random_state": 42, #XGBRegressor
"criterion": "absolute_error",
"random_state": 42,
"n_jobs": -1, # Use all cores for training
},
)
print("created_data_model")
# sleep for 10 seconds to make sure the data saved
time.sleep(10)