def __init__(self, data_path, node_impl, cutoff_rating, max_core_nodes,
store_dataset, use_artists):
NetworkDataPreparser.__init__(self, node_impl, data_path,
max_core_nodes=max_core_nodes,
store_dataset=store_dataset)
self.datadir = data_path
self.nodes_db_list = []
self.edges_db_list = []
self.interaction_types = sorted(LastfmDataPreparserCSV.interact_types_dict.values())
self.node_index = 0
self.item_index = 1
self.items.insert(0, None)
self.itemid_dict = {}
self.cutoff_rating = None
self.nodes_files = []
self.edges_files = []
self.interacts_files = {}
for interact_name in self.interact_types_dict.keys():
self.interacts_files[interact_name] = []
self.uid_dict = {}
self.friend_uid_dict = {}
self.use_artists = use_artists
self.min_fr_fraction = 0.75
def __init__(self, data_path, node_impl, cutoff_rating, max_core_nodes,
store_dataset, use_artists, interact_type_val,
min_interactions_per_user):
NetworkDataPreparser.__init__(
self,
node_impl,
data_path,
max_core_nodes=max_core_nodes,
store_dataset=store_dataset,
min_interactions_per_user=min_interactions_per_user)
self.datadir = data_path
self.nodes_db_list = []
self.edges_db_list = []
self.interaction_types = sorted(
LastfmDataPreparserSimple.interact_types_dict.values())
self.node_index = 0
self.item_index = 1
self.items.insert(0, None)
self.cutoff_rating = None
self.nodes_files = []
self.edges_files = []
self.interacts_files = {}
for interact_name in self.interact_types_dict.keys():
self.interacts_files[interact_name] = []
self.use_artists = use_artists
self.interact_type_val = interact_type_val
def __init__(self, data_path, node_impl, cutoff_rating, max_core_nodes,
store_dataset, min_interactions_per_user):
NetworkDataPreparser.__init__(
self,
node_impl,
data_path,
max_core_nodes=max_core_nodes,
store_dataset=store_dataset,
min_interactions_per_user=min_interactions_per_user)
self.datadir = data_path
self.nodes_filename = data_path + "sorted-links.txt"
self.items_filename = data_path + "all_items.txt"
self.edges_filename = data_path + "sorted-links.txt"
self.interactions_filename = data_path + "sorted-ratings.timed.txt"
#self.interaction_types = range(1)
#rate = range(1)
#self.nodes = [None]*300000 # so that we can index it for smaller datasetsa
self.node_counter = 0
self.node_id_map = {}
self.cutoff_rating = cutoff_rating
if cutoff_rating is None:
cutoff_rating = 0
self.copy_timestamps = []
self.interact_type_val = 0
globals().update(self.named_tuple_dict)
def __init__(self, data_path, node_impl, cutoff_rating, max_core_nodes,
store_dataset):
NetworkDataPreparser.__init__(self,
node_impl,
data_path,
max_core_nodes=max_core_nodes,
store_dataset=store_dataset)
self.datadir = data_path
#nodes_store_path = data_path + "lastfm_nodes.db"
#edges_store_path = data_path + "lastfm_edges.db"
self.nodes_db_list = []
self.edges_db_list = []
self.interaction_types = sorted(
LastfmDataPreparser.interact_types_dict.values())
self.node_index = 0
self.item_index = 1
self.items.insert(0, None)
self.itemid_dict = {}
self.MAX_NODES_TO_READ = 100000
self.cutoff_rating = None
self.nodes_files = []
self.edges_files = []
self.uid_dict = {}
self.friend_uid_dict = {}
def __init__(self, data_path, node_impl, cutoff_rating, max_core_nodes,
store_dataset, use_artists):
NetworkDataPreparser.__init__(self,
node_impl,
data_path,
max_core_nodes=max_core_nodes,
store_dataset=store_dataset)
self.datadir = data_path
self.nodes_db_list = []
self.edges_db_list = []
self.interaction_types = sorted(
LastfmDataPreparserCSV.interact_types_dict.values())
self.node_index = 0
self.item_index = 1
self.items.insert(0, None)
self.itemid_dict = {}
self.cutoff_rating = None
self.nodes_files = []
self.edges_files = []
self.interacts_files = {}
for interact_name in self.interact_types_dict.keys():
self.interacts_files[interact_name] = []
self.uid_dict = {}
self.friend_uid_dict = {}
self.use_artists = use_artists
self.min_fr_fraction = 0.75
def __init__(self, datadir, node_impl):
NetworkDataPreparser.__init__(self, node_impl)
self.datadir = datadir
self.item_counter = 1
self.node_index = 1
self.item_index = 1
self.nodes.insert(0, None)
self.items.insert(0, None)
self.items_dict = {}
def __init__(self, datadir, node_impl):
NetworkDataPreparser.__init__(self, node_impl)
self.datadir = datadir
self.item_counter = 1
self.node_index = 1
self.item_index = 1
self.nodes.insert(0, None)
self.items.insert(0, None)
self.items_dict = {}
def __init__(self, data_path, node_impl, cutoff_rating, max_core_nodes,
store_dataset, min_interactions_per_user):
NetworkDataPreparser.__init__(self, node_impl, data_path,
max_core_nodes=max_core_nodes,
store_dataset=store_dataset,
min_interactions_per_user=min_interactions_per_user)
self.datadir = data_path
self.nodes_filename = data_path + "goodreads.300k.users.xml"
self.items_filename = data_path + "goodreads.300k.items.xml"
self.edges_filename = data_path + "goodreads.300k.edges.newxml"
self.interactions_filename = data_path + "goodreads.300k.collections.txt"
#self.interaction_types = range(1)
#rate = range(1)
#self.nodes = [None]*300000 # so that we can index it for smaller datasetsa
self.node_counter = 0
self.node_id_map = {}
self.interact_type_val = 0
self.cutoff_rating = cutoff_rating
self.copy_timestamps = []
def __init__(self, data_path, node_impl, cutoff_rating,
max_core_nodes, store_dataset, min_interactions_per_user):
NetworkDataPreparser.__init__(self, node_impl, data_path,
max_core_nodes=max_core_nodes,
store_dataset=store_dataset,
min_interactions_per_user=min_interactions_per_user)
self.datadir = data_path
self.nodes_filename = data_path + "sorted-flickr-growth.txt"
self.items_filename = data_path + "flickr-all-photos.txt"
self.edges_filename = data_path + "sorted-flickr-growth.txt"
self.interactions_filename = data_path + "sorted-flickr-all-photo-favorite-markings.txt"
#self.interaction_types = range(1)
#rate = range(1)
#self.nodes = [None]*300000 # so that we can index it for smaller datasetsa
self.node_counter = 0
self.node_id_map = {}
self.cutoff_rating = cutoff_rating
self.cutoff_rating = None
#self.copy_timestamps = []
self.interact_type_val = 0
globals().update(self.named_tuple_dict)
def __init__(self, data_path, node_impl, cutoff_rating, max_core_nodes,
store_dataset, min_interactions_per_user):
NetworkDataPreparser.__init__(
self,
node_impl,
data_path,
max_core_nodes=max_core_nodes,
store_dataset=store_dataset,
min_interactions_per_user=min_interactions_per_user)
self.datadir = data_path
self.nodes_filename = data_path + "goodreads.300k.users.xml"
self.items_filename = data_path + "goodreads.300k.items.xml"
self.edges_filename = data_path + "goodreads.300k.edges.newxml"
self.interactions_filename = data_path + "goodreads.300k.collections.txt"
#self.interaction_types = range(1)
#rate = range(1)
#self.nodes = [None]*300000 # so that we can index it for smaller datasetsa
self.node_counter = 0
self.node_id_map = {}
self.interact_type_val = 0
self.cutoff_rating = cutoff_rating
self.copy_timestamps = []
def __init__(self, data_path, node_impl, cutoff_rating, max_core_nodes,
store_dataset, use_artists, interact_type_val, min_interactions_per_user):
NetworkDataPreparser.__init__(self, node_impl, data_path,
max_core_nodes=max_core_nodes,
store_dataset=store_dataset,
min_interactions_per_user=min_interactions_per_user)
self.datadir = data_path
self.nodes_db_list = []
self.edges_db_list = []
self.interaction_types = sorted(LastfmDataPreparserSimple.interact_types_dict.values())
self.node_index = 0
self.item_index = 1
self.items.insert(0, None)
self.cutoff_rating = None
self.nodes_files = []
self.edges_files = []
self.interacts_files = {}
for interact_name in self.interact_types_dict.keys():
self.interacts_files[interact_name] = []
self.use_artists = use_artists
self.interact_type_val = interact_type_val
def __init__(self, data_path, node_impl, cutoff_rating, max_core_nodes,
store_dataset):
NetworkDataPreparser.__init__(self, node_impl, data_path,
max_core_nodes=max_core_nodes,
store_dataset=store_dataset)
self.datadir = data_path
#nodes_store_path = data_path + "lastfm_nodes.db"
#edges_store_path = data_path + "lastfm_edges.db"
self.nodes_db_list = []
self.edges_db_list = []
self.interaction_types = sorted(LastfmDataPreparser.interact_types_dict.values())
self.node_index = 0
self.item_index = 1
self.items.insert(0, None)
self.itemid_dict = {}
self.MAX_NODES_TO_READ = 100000
self.cutoff_rating = None
self.nodes_files = []
self.edges_files = []
self.uid_dict = {}
self.friend_uid_dict = {}