Anteckning
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Åtkomst till den här sidan kräver auktorisering. Du kan prova att ändra kataloger.
Usage
revoscalepy.rx_wait_for_job(job_info: revoscalepy.computecontext.RxRemoteJob.RxRemoteJob)
Description
Causes Python to block on an existing distributed job until completion. This effectively turns a non-blocking job into a blocking job.
Arguments
job_info
A jobInfo object.
See also
Example
from revoscalepy import RxInSqlServer
from revoscalepy import RxSqlServerData
from revoscalepy import rx_logit
from revoscalepy import rx_wait_for_job
from revoscalepy import rx_get_job_results
connection_string = 'Driver=SQL Server;Server=.;Database=RevoTestDb;Trusted_Connection=True;'
airline_data_source = RxSqlServerData(sql_query='select top 1000 * from airlinedemosmall',
connection_string=connection_string,
column_info={
'ArrDelay': {'type': 'integer'},
'CRSDepTime': {'type': 'float'},
'DayOfWeek': {
'type': 'factor',
'levels': ['Monday', 'Tuesday', 'Wednesday', 'Thursday',
'Friday',
'Saturday', 'Sunday']
}
})
# Setting wait to False allows the job to be run asynchronously
compute_context = RxInSqlServer(connection_string=connection_string, num_tasks=1, wait=False)
def transform_late(dataset, context):
dataset['Late'] = dataset['ArrDelay'] > 15
return dataset
# Since wait is set to False on the compute_context rx_logit will return a job rather than the model
job = rx_logit(formula='Late ~ DayOfWeek',
data=airline_data_source,
compute_context=compute_context,
transform_function=transform_late,
transform_variables=['ArrDelay'])
# Wait for the job to finish
rx_wait_for_job(job)
model = rx_get_job_results(job)
print(model)