diff options
-rw-r--r-- | data.py | 100 |
1 files changed, 100 insertions, 0 deletions
@@ -0,0 +1,100 @@ +import ast, csv +import fuel +from enum import Enum +from fuel.datasets import Dataset +from fuel.streams import DataStream +from fuel.iterator import DataIterator + +PREFIX="/data/lisatmp3/auvolat/taxikaggle" + +class CallType(Enum): + CENTRAL = 0 + STAND = 1 + STREET = 2 + + @classmethod + def from_data(cls, val): + if val=='A': + return cls.CENTRAL + elif val=='B': + return cls.STAND + elif val=='C': + return cls.STREET + + @classmethod + def to_data(cls, val): + if val==cls.CENTRAL: + return 'A' + elif val==cls.STAND: + return 'B' + elif val==cls.STREET: + return 'C' + +class DayType(Enum): + NORMAL = 0 + HOLIDAY = 1 + HOLIDAY_EVE = 2 + + @classmethod + def from_data(cls, val): + if val=='A': + return cls.NORMAL + elif val=='B': + return cls.HOLIDAY + elif val=='C': + return cls.HOLIDAY_EVE + + @classmethod + def to_data(cls, val): + if val==cls.NORMAL: + return 'A' + elif val==cls.HOLIDAY: + return 'B' + elif val==cls.HOLIDAY_EVE: + return 'C' + +class TaxiData(Dataset): + provides_sources= ("trip_id","call_type","origin_call","origin_stand","taxi_id","timestamp","day_type","missing_data","polyline") + + example_iteration_scheme=None + + def __init__(self, path): + self.path=path + super(TaxiData, self).__init__() + + def open(self): + file=open(self.path) + reader=csv.reader(file) + reader.next() # Skip header + return (file, reader) + + def close(self, state): + state[0].close() + + def reset(self, state): + state[0].seek(0) + state[1]=csv.reader(state[0]) + return state + + def get_data(self, state, request=None): + if request is not None: + raise ValueError + line=state[1].next() + line[1]=CallType.from_data(line[1]) # call_type + line[2]=0 if line[2]=='' or line[2]=='NA' else int(line[2]) # origin_call + line[3]=0 if line[3]=='' or line[3]=='NA' else int(line[3]) # origin_stand + line[4]=int(line[4]) # taxi_id + line[5]=int(line[5]) # timestamp + line[6]=DayType.from_data(line[6]) # day_type + line[7]=line[7][0]=='T' # missing_data + line[8]=map(tuple, ast.literal_eval(line[8])) # polyline + return tuple(line) + +train_data=TaxiData(PREFIX+'/train.csv') +test_data=TaxiData(PREFIX+'/test.csv') + +def train_it(): + return DataIterator(DataStream(train_data)) + +def test_it(): + return DataIterator(DataStream(test_data)) |