Methods for creating and querying a nearest neighbors model.
"""
import graphlab.connect as _mt
import graphlab as _graphlab
from graphlab.toolkits._model import Model as _Model
from graphlab.data_structures.sframe import SFrame as _SFrame
import graphlab.toolkits._internal_utils as _tkutl
from graphlab.toolkits._model import _get_default_options_wrapper as \
__get_default_options_wrapper
import array
import copy
get_default_options = __get_default_options_wrapper('nearest_neighbors_ball_tree',
'nearest_neighbors',
'NearestNeighborsModel')
def choose_auto_distance(feature_names, column_names, column_types):
"""
Construct composite distance parameters based on selected features and their
types.
"""
## Make a dictionary from the column_names and column_types
col_type_dict = {k: v for k, v in zip(column_names, column_types)}
## Loop through feature names, appending a distance component if the
# feature's type is *not* numeric. If the type *is* numeric, append it to
# the numeric_cols list, then at the end make a numeric columns distance
__get_default_options_wrapper
from graphlab.toolkits._main import ToolkitError as _ToolkitError
from graphlab.toolkits._private_utils import _validate_lists
from graphlab.toolkits.distances._util import _convert_distance_names_to_functions
from graphlab.toolkits.distances._util import _validate_composite_distance
from graphlab.toolkits.distances._util import _scrub_composite_distance_features
from graphlab.toolkits.distances._util import _get_composite_distance_features
import array
import copy as _copy
import six as _six
get_default_options = __get_default_options_wrapper(
'nearest_neighbors_ball_tree', 'nearest_neighbors',
'NearestNeighborsModel')
def _construct_auto_distance(feature_names, column_names, column_types,
sample):
"""
Construct composite distance parameters based on selected features and their
types.
"""
## Make a dictionary from the column_names and column_types
col_type_dict = {k: v for k, v in zip(column_names, column_types)}
## Loop through feature names, appending a distance component if the
# feature's type is *not* numeric. If the type *is* numeric, append it to
"""
import graphlab as _graphlab
import graphlab.connect as _mt
from graphlab.toolkits._model import Model as _Model
from graphlab.data_structures.sframe import SFrame as _SFrame
from graphlab.data_structures.sarray import SArray as _SArray
from graphlab.deps import pandas as _pandas, HAS_PANDAS as _HAS_PANDAS
import time as _time
from graphlab.toolkits._main import ToolkitError as _ToolkitError
from graphlab.toolkits._model import _get_default_options_wrapper as \
__get_default_options_wrapper
get_default_options = __get_default_options_wrapper(
'vowpal_wabbit',
'vowpal_wabbit',
'VowpalWabbitModel')
def create(dataset, target,
loss_function='squared',
quadratic=[],
l1_penalty=0.0, l2_penalty=0.0,
bigram=False,
step_size=0.5, num_bits=18, verbose=False,
max_iterations=1,
command_line_args=''):
"""
create(dataset, target, loss_function='squared', quadratic=list(),
l1_penalty=0.0, l2_penalty=0.0, bigram=False, step_size=0.5, num_bits=18,
verbose=False, max_iterations=1, command_line_args='')
