def tpminerWeatherSetup(logger):
job = Job(logger=logger, label='TPMiner weather-crash')
job.algorithm = tpminer
job.minSupport = 0.15
job.maxGap = pa.to_timedelta('24:00:00')
job.dataset = 'datasets/Weather-Crash.csv'
preprocessor = WeatherCrashPreprocessor(
'datasets/weather.csv',
'datasets/Motor_Vehicle_Collisions_-_Crashes.csv',
logger)
job.preprocessor = preprocessor
return job
def tpminerLoadSetup(logger):
job = Job(logger=logger, label='TPMiner load')
job.algorithm = tpminer
job.seperator = ','
job.dataset = 'datasets/Load-minute-12.csv'
job.columns = col.load_columns
job.getState = load_getState
job.minSupport = 0.5
job.maxGap = pa.to_timedelta('24:00:00')
job.useGenericPreprocessor()
return job
def tpminerVentSetup(logger):
job = Job(logger=logger, label='TPMiner main vent')
job.algorithm = tpminer
job.seperator = ','
job.dataset = 'datasets/Vent-minute-12.csv'
job.columns = col.vent_columns
job.getState = vent_getState
job.minSupport = 0.1
job.maxGap = pa.to_timedelta('24:00:00')
job.useGenericPreprocessor()
return job
def test(logger):
job = Job(logger=logger)
job.algorithm = methods.armada
job.seperator = ','
job.dataset = 'datasets/Vent-minute-3.csv'
job.columns = columns.vent_columns
job.getState = methods.vent_getState
job.minSupport = 0.7
job.maxGap = pa.to_timedelta('24:00:00')
job.useGenericPreprocessor()
return job
import pandas as pa from logging2 import FileLogger, Severity from methods import * from models.job import Job from preprocessors.columns import vent_columns min_5_seq_6 = Job(label='min_5_seq_6') min_5_seq_6.minSupport = 0.05 min_5_seq_6.dataset = 'datasets/Vent-minute-6.csv' min_4_seq_6 = Job(label='min_4_seq_6') min_4_seq_6.minSupport = 0.04 min_4_seq_6.dataset = 'datasets/Vent-minute-6.csv' min_3_seq_6 = Job(label='min_3_seq_6') min_3_seq_6.minSupport = 0.03 min_3_seq_6.dataset = 'datasets/Vent-minute-6.csv' min_2_seq_6 = Job(label='min_2_seq_6') min_2_seq_6.minSupport = 0.02 min_2_seq_6.dataset = 'datasets/Vent-minute-6.csv' min_1_seq_6 = Job(label='min_1_seq_6') min_1_seq_6.minSupport = 0.01 min_1_seq_6.dataset = 'datasets/Vent-minute-6.csv' min_5_seq_12 = Job(label='min_5_seq_12') min_5_seq_12.dataset = 'datasets/Vent-minute-12.csv' min_5_seq_12.minSupport = 0.05 min_5_seq_9 = Job(label='min_5_seq_9')
