# Path: discomll/dataset.py
# class Data:
#     def __init__(self, data_tag, X_indices, **kwargs):
#     def generate_urls(self, first_url, last_url):
# 
# Path: discomll/regression/locally_weighted_linear_regression.py
# def simple_init(interface, params):
# def map_fit(interface, state, label, inp):
# def map_predict(interface, state, label, inp):
# def reduce_fit(interface, state, label, inp):
# def _fit_predict(fit_data, samples, tau, save_results, show):
# def fit_predict(training_data, fitting_data, tau=1, samples_per_job=0, save_results=True, show=False):
#     A = [0 for i in range(len(state["X_indices"]) + 1)]
#             A = [0 for i in range(len(state["X_indices"]) + 1)]


from disco.core import result_iterator
from discomll import dataset
from discomll.regression import locally_weighted_linear_regression


training_data = dataset.Data(data_tag=["test:regression_data1", "test:regression_data2"],
                             data_type="chunk",
                             id_index=0,
                             X_indices=[0],
                             y_index=1)


# Path: discomll/dataset.py
# class Data:
#     def __init__(self, data_tag, X_indices, **kwargs):
#     def generate_urls(self, first_url, last_url):
# 
# Path: discomll/regression/locally_weighted_linear_regression.py
# def simple_init(interface, params):
# def map_fit(interface, state, label, inp):
# def map_predict(interface, state, label, inp):
# def reduce_fit(interface, state, label, inp):
# def _fit_predict(fit_data, samples, tau, save_results, show):
# def fit_predict(training_data, fitting_data, tau=1, samples_per_job=0, save_results=True, show=False):
#     A = [0 for i in range(len(state["X_indices"]) + 1)]
#             A = [0 for i in range(len(state["X_indices"]) + 1)]


# Path: discomll/examples/regression/locally_weighted_linear_regression_ddfs.py
from disco.core import result_iterator
from discomll import dataset
from discomll.regression import locally_weighted_linear_regression



training_data = dataset.Data(data_tag=["test:regression_data1", "test:regression_data2"],
                             data_type="chunk",
                             id_index=0,
                             X_indices=[0],
                             y_index=1)


fitting_data = dataset.Data(data_tag=["test:regression_data_test1", "test:regression_data_test2"],