def __init__(self,
target_entity_id,
entityset,
agg_primitives=None,
trans_primitives=None,
where_primitives=None,
max_depth=2,
max_hlevel=2,
max_features=-1,
allowed_paths=None,
ignore_entities=None,
ignore_variables=None,
seed_features=None,
drop_contains=None,
drop_exact=None,
where_stacking_limit=1):
# need to change max_depth and max_hlevel to None because DFs terminates when <0
if max_depth == -1:
max_depth = None
self.max_depth = max_depth
if max_hlevel == -1:
max_hlevel = None
self.max_hlevel = max_hlevel
self.max_features = max_features
self.allowed_paths = allowed_paths
if self.allowed_paths:
self.allowed_paths = set()
for path in allowed_paths:
self.allowed_paths.add(tuple(path))
if ignore_entities is None:
self.ignore_entities = set()
else:
if not isinstance(ignore_entities, list):
raise TypeError('ignore_entities must be a list')
assert target_entity_id not in ignore_entities,\
"Can't ignore target_entity!"
self.ignore_entities = set(ignore_entities)
self.ignore_variables = defaultdict(set)
if ignore_variables is not None:
for eid, vars in ignore_variables.items():
self.ignore_variables[eid] = set(vars)
self.target_entity_id = target_entity_id
self.es = entityset
if agg_primitives is None:
agg_primitives = [
ftypes.Sum, ftypes.Std, ftypes.Max, ftypes.Skew, ftypes.Min,
ftypes.Mean, ftypes.Count, ftypes.PercentTrue, ftypes.NUnique,
ftypes.Mode
]
self.agg_primitives = []
agg_prim_dict = ftypes.get_aggregation_primitives()
for a in agg_primitives:
if is_string(a):
if a.lower() not in agg_prim_dict:
raise ValueError(
"Unknown aggregation primitive {}. ".format(a),
"Call ft.primitives.list_primitives() to get",
" a list of available primitives")
a = agg_prim_dict[a.lower()]
a = handle_primitive(a)
self.agg_primitives.append(a)
if trans_primitives is None:
trans_primitives = [
ftypes.Day, ftypes.Year, ftypes.Month, ftypes.Weekday,
ftypes.Haversine, ftypes.NumWords, ftypes.NumCharacters
] # ftypes.TimeSince
self.trans_primitives = []
trans_prim_dict = ftypes.get_transform_primitives()
for t in trans_primitives:
if is_string(t):
if t.lower() not in trans_prim_dict:
raise ValueError(
"Unknown transform primitive {}. ".format(t),
"Call ft.primitives.list_primitives() to get",
" a list of available primitives")
t = trans_prim_dict[t.lower()]
t = handle_primitive(t)
self.trans_primitives.append(t)
if where_primitives is None:
where_primitives = [ftypes.Count]
self.where_primitives = []
for p in where_primitives:
if is_string(p):
prim_obj = agg_prim_dict.get(p.lower(), None)
if prim_obj is None:
raise ValueError(
"Unknown where primitive {}. ".format(p),
"Call ft.primitives.list_primitives() to get",
" a list of available primitives")
p = prim_obj
p = handle_primitive(p)
self.where_primitives.append(p)
self.seed_features = seed_features or []
self.drop_exact = drop_exact or []
self.drop_contains = drop_contains or []
self.where_stacking_limit = where_stacking_limit
def __init__(self,
target_entity_id,
entityset,
filters=None,
agg_primitives=None,
trans_primitives=None,
where_primitives=None,
max_depth=None,
max_hlevel=None,
max_features=None,
allowed_paths=None,
ignore_entities=None,
ignore_variables=None,
seed_features=None,
drop_contains=None,
drop_exact=None,
where_stacking_limit=1):
if max_depth is None:
max_depth = 2
elif max_depth == -1:
max_depth = None
self.max_depth = max_depth
if max_hlevel is None:
max_hlevel = 2
elif max_hlevel == -1:
max_hlevel = None
self.max_hlevel = max_hlevel
if max_features is None:
max_features = -1
self.max_features = max_features
self.allowed_paths = allowed_paths
if self.allowed_paths:
self.allowed_paths = set()
for path in allowed_paths:
self.allowed_paths.add(tuple(path))
if ignore_entities is None:
self.ignore_entities = set()
else:
assert target_entity_id not in ignore_entities,\
"Can't ignore target_entity!"
self.ignore_entities = set(ignore_entities)
self.ignore_variables = defaultdict(set)
if ignore_variables is not None:
for eid, vars in ignore_variables.items():
self.ignore_variables[eid] = set(vars)
self.target_entity_id = target_entity_id
self.es = entityset
if filters is None:
filters = [TraverseUp(), LimitModeUniques()]
self.post_instance_filters = []
self.traversal_filters = []
for f in filters:
if f.filter_type == 'post_instance':
self.post_instance_filters.append(f)
elif f.filter_type == 'traversal':
self.traversal_filters.append(f)
else:
raise NotImplementedError("Unknown filter type {}".format(
f.filter_type))
if agg_primitives is None:
agg_primitives = [
ftypes.Sum, ftypes.Std, ftypes.Max, ftypes.Skew, ftypes.Min,
ftypes.Mean, ftypes.Count, ftypes.PercentTrue, ftypes.NUnique,
ftypes.Mode
]
self.agg_primitives = []
agg_prim_dict = ftypes.get_aggregation_primitives()
for a in agg_primitives:
if isinstance(a, basestring):
if a.lower() not in agg_prim_dict:
raise ValueError(
"Unknown aggregation primitive {}. ".format(a),
"Call ft.primitives.list_primitives() to get",
" a list of available primitives")
self.agg_primitives.append(agg_prim_dict[a.lower()])
else:
self.agg_primitives.append(a)
if trans_primitives is None:
trans_primitives = [
ftypes.Day, ftypes.Year, ftypes.Month, ftypes.Weekday,
ftypes.Haversine, ftypes.NumWords, ftypes.NumCharacters
] # ftypes.TimeSince
self.trans_primitives = []
trans_prim_dict = ftypes.get_transform_primitives()
for t in trans_primitives:
if isinstance(t, basestring):
if t.lower() not in trans_prim_dict:
raise ValueError(
"Unknown transform primitive {}. ".format(t),
"Call ft.primitives.list_primitives() to get",
" a list of available primitives")
self.trans_primitives.append(trans_prim_dict[t.lower()])
else:
self.trans_primitives.append(t)
if where_primitives is None:
where_primitives = [ftypes.Count]
self.where_primitives = []
for p in where_primitives:
if isinstance(p, basestring):
prim_obj = agg_prim_dict.get(p.lower(), None)
if prim_obj is None:
raise ValueError(
"Unknown where primitive {}. ".format(p),
"Call ft.primitives.list_primitives() to get",
" a list of available primitives")
self.where_primitives.append(prim_obj)
else:
self.where_primitives.append(p)
self.seed_features = seed_features or []
self.drop_exact = drop_exact or []
self.drop_contains = drop_contains or []
self.where_stacking_limit = where_stacking_limit
def __init__(self,
target_entity_id,
entityset,
agg_primitives=None,
trans_primitives=None,
where_primitives=None,
max_depth=2,
max_hlevel=2,
max_features=-1,
allowed_paths=None,
ignore_entities=None,
ignore_variables=None,
seed_features=None,
drop_contains=None,
drop_exact=None,
where_stacking_limit=1):
# need to change max_depth and max_hlevel to None because DFs terminates when <0
if max_depth == -1:
max_depth = None
self.max_depth = max_depth
if max_hlevel == -1:
max_hlevel = None
self.max_hlevel = max_hlevel
self.max_features = max_features
self.allowed_paths = allowed_paths
if self.allowed_paths:
self.allowed_paths = set()
for path in allowed_paths:
self.allowed_paths.add(tuple(path))
if ignore_entities is None:
self.ignore_entities = set()
else:
if not isinstance(ignore_entities, list):
raise TypeError('ignore_entities must be a list')
assert target_entity_id not in ignore_entities,\
"Can't ignore target_entity!"
self.ignore_entities = set(ignore_entities)
self.ignore_variables = defaultdict(set)
if ignore_variables is not None:
for eid, vars in ignore_variables.items():
self.ignore_variables[eid] = set(vars)
self.target_entity_id = target_entity_id
self.es = entityset
if agg_primitives is None:
agg_primitives = [ftypes.Sum, ftypes.Std, ftypes.Max, ftypes.Skew,
ftypes.Min, ftypes.Mean, ftypes.Count,
ftypes.PercentTrue, ftypes.NUnique, ftypes.Mode]
self.agg_primitives = []
agg_prim_dict = ftypes.get_aggregation_primitives()
for a in agg_primitives:
if is_string(a):
if a.lower() not in agg_prim_dict:
raise ValueError("Unknown aggregation primitive {}. ".format(a),
"Call ft.primitives.list_primitives() to get",
" a list of available primitives")
a = agg_prim_dict[a.lower()]
self.agg_primitives.append(a)
if trans_primitives is None:
trans_primitives = [ftypes.Day, ftypes.Year, ftypes.Month,
ftypes.Weekday, ftypes.Haversine,
ftypes.NumWords, ftypes.NumCharacters] # ftypes.TimeSince
self.trans_primitives = []
trans_prim_dict = ftypes.get_transform_primitives()
for t in trans_primitives:
if is_string(t):
if t.lower() not in trans_prim_dict:
raise ValueError("Unknown transform primitive {}. ".format(t),
"Call ft.primitives.list_primitives() to get",
" a list of available primitives")
t = trans_prim_dict[t.lower()]
self.trans_primitives.append(t)
if where_primitives is None:
where_primitives = [ftypes.Count]
self.where_primitives = []
for p in where_primitives:
if is_string(p):
prim_obj = agg_prim_dict.get(p.lower(), None)
if prim_obj is None:
raise ValueError("Unknown where primitive {}. ".format(p),
"Call ft.primitives.list_primitives() to get",
" a list of available primitives")
p = prim_obj
self.where_primitives.append(p)
self.seed_features = seed_features or []
self.drop_exact = drop_exact or []
self.drop_contains = drop_contains or []
self.where_stacking_limit = where_stacking_limit
def __init__(self,
target_entity_id,
entityset,
filters=None,
agg_primitives=None,
trans_primitives=None,
where_primitives=None,
max_depth=None,
max_hlevel=None,
max_features=None,
allowed_paths=None,
ignore_entities=None,
ignore_variables=None,
seed_features=None,
drop_contains=None,
drop_exact=None,
where_stacking_limit=1):
if max_depth is None:
max_depth = 2
elif max_depth == -1:
max_depth = None
self.max_depth = max_depth
if max_hlevel is None:
max_hlevel = 2
elif max_hlevel == -1:
max_hlevel = None
self.max_hlevel = max_hlevel
if max_features is None:
max_features = -1
self.max_features = max_features
self.allowed_paths = allowed_paths
if self.allowed_paths:
self.allowed_paths = set()
for path in allowed_paths:
self.allowed_paths.add(tuple(path))
if ignore_entities is None:
self.ignore_entities = set()
else:
assert target_entity_id not in ignore_entities,\
"Can't ignore target_entity!"
self.ignore_entities = set(ignore_entities)
self.ignore_variables = defaultdict(set)
if ignore_variables is not None:
for eid, vars in ignore_variables.items():
self.ignore_variables[eid] = set(vars)
self.target_entity_id = target_entity_id
self.es = entityset
if filters is None:
filters = [TraverseUp(),
LimitModeUniques()]
self.post_instance_filters = []
self.traversal_filters = []
for f in filters:
if f.filter_type == 'post_instance':
self.post_instance_filters.append(f)
elif f.filter_type == 'traversal':
self.traversal_filters.append(f)
else:
raise NotImplementedError("Unknown filter type {}"
.format(f.filter_type))
if agg_primitives is None:
agg_primitives = [ftypes.Sum, ftypes.Std, ftypes.Max, ftypes.Skew,
ftypes.Min, ftypes.Mean, ftypes.Count,
ftypes.PercentTrue, ftypes.NUnique, ftypes.Mode]
self.agg_primitives = []
agg_prim_dict = ftypes.get_aggregation_primitives()
for a in agg_primitives:
if isinstance(a, basestring):
if a.lower() not in agg_prim_dict:
raise ValueError("Unknown aggregation primitive {}. ".format(a),
"Call ft.primitives.list_primitives() to get",
" a list of available primitives")
self.agg_primitives.append(agg_prim_dict[a.lower()])
else:
self.agg_primitives.append(a)
if trans_primitives is None:
trans_primitives = [ftypes.Day, ftypes.Year, ftypes.Month,
ftypes.Weekday, ftypes.Haversine,
ftypes.NumWords, ftypes.NumCharacters] # ftypes.TimeSince
self.trans_primitives = []
trans_prim_dict = ftypes.get_transform_primitives()
for t in trans_primitives:
if isinstance(t, basestring):
if t.lower() not in trans_prim_dict:
raise ValueError("Unknown transform primitive {}. ".format(t),
"Call ft.primitives.list_primitives() to get",
" a list of available primitives")
self.trans_primitives.append(trans_prim_dict[t.lower()])
else:
self.trans_primitives.append(t)
if where_primitives is None:
where_primitives = [ftypes.Count]
self.where_primitives = []
for p in where_primitives:
if isinstance(p, basestring):
prim_obj = agg_prim_dict.get(p.lower(), None)
if prim_obj is None:
raise ValueError("Unknown where primitive {}. ".format(p),
"Call ft.primitives.list_primitives() to get",
" a list of available primitives")
self.where_primitives.append(prim_obj)
else:
self.where_primitives.append(p)
self.seed_features = seed_features or []
self.drop_exact = drop_exact or []
self.drop_contains = drop_contains or []
self.where_stacking_limit = where_stacking_limit
