def forecast(time_series, args, session_file=None):
"""Computes a time-series forecast
"""
local_time_series = TimeSeries(time_series, api=args.retrieve_api_)
output = args.predictions
# Local forecasts: Forecasts are computed locally
message = u.dated("Creating local forecasts.\n")
u.log_message(message, log_file=session_file, console=args.verbosity)
input_data = []
if args.test_set is not None:
input_data = [u.read_json(args.test_set)]
elif args.horizon is not None:
input_data = [{local_time_series.objective_id: { \
"horizon": args.horizon}}]
write_forecasts(local_time_series.forecast(*input_data), output)
def forecast(time_series, args, session_file=None):
"""Computes a time-series forecast
"""
local_time_series = TimeSeries(time_series,
api=args.retrieve_api_)
output = args.predictions
# Local forecasts: Forecasts are computed locally
message = u.dated("Creating local forecasts.\n")
u.log_message(message, log_file=session_file, console=args.verbosity)
input_data = []
if args.test_set is not None:
input_data = [u.read_json(args.test_set)]
elif args.horizon is not None:
input_data = [{local_time_series.objective_id: { \
"horizon": args.horizon}}]
write_forecasts(local_time_series.forecast(*input_data),
output)
def remote_forecast(time_series,
forecast_args,
args,
api,
resume,
prediction_file=None,
session_file=None,
path=None,
log=None):
"""Computes a remote forecast.
"""
time_series_id = bigml.api.get_time_series_id( \
time_series)
# if resuming, try to extract dataset form log files
if resume:
message = u.dated("Forecast not found. Resuming.\n")
resume, forecast = c.checkpoint(c.is_forecast_created,
path,
debug=args.debug,
message=message,
log_file=session_file,
console=args.verbosity)
if not resume:
local_time_series = TimeSeries(time_series, api=args.retrieve_api_)
output = args.predictions
if args.test_set is not None:
input_data = u.read_json(args.test_set)
elif args.horizon is not None:
input_data = {local_time_series.objective_id: { \
"horizon": args.horizon}}
forecast = create_forecast(time_series_id,
input_data,
forecast_args,
args,
api,
session_file=session_file,
path=path,
log=log)
write_forecasts(forecast["object"]["forecast"]["result"], output)
def create_local_time_series(step):
world.local_time_series = TimeSeries(world.time_series["resource"],
world.api)
def i_create_local_time_series_from_file(step, export_file):
world.local_time_series = TimeSeries(res_filename(export_file))