def output(self):
return S3Target(
s3.path(S3.MODELS +
"{date:%Y/%m/%d/random_forest_T%H%M%S.pkl}".format(
date=self.date)),
client=s3.create_client(),
)
def output(self):
return S3Target(
s3.path(S3.MODELS +
"{date:%Y/%m/%d/gradient_boosting_T%H%M%S.pkl}".format(
date=self.date)),
client=s3.create_client(),
)
def output(self):
return S3Target(
s3.path(S3.MODELS +
"{date:%Y/%m/%d/logistic_regression_T%H%M%S.pkl}".format(
date=self.date)),
client=s3.create_client(),
)
def output(self):
return [
S3Target(s3.path(S3.MODELLING + "train.parquet"),
client=s3.create_client()),
S3Target(s3.path(S3.MODELLING + "test.parquet"),
client=s3.create_client()),
S3Target(
s3.path(S3.MODELS +
"{date:%Y/%m/%d/train_T%H%M%S.parquet}".format(
date=self.date)),
client=s3.create_client(),
),
S3Target(
s3.path(S3.MODELS +
"{date:%Y/%m/%d/test_T%H%M%S.parquet}".format(
date=self.date)),
client=s3.create_client(),
),
]
def output(self):
return S3Target(s3.path(S3.MODELLING + "modelling.parquet"),
client=s3.create_client())
def output(self):
return S3Target(s3.path(S3.MODELLING + "outcomes.parquet"),
client=s3.create_client())
def output(self):
return S3Target(s3.path(S3.TRANSFORM + "intermediate.parquet"),
client=s3.create_client())
def output(self):
return S3Target(
s3.path(S3.TRANSFORM + "interventions_translated.parquet"),
client=s3.create_client(),
)
def output(self):
return S3Target(
s3.path(S3.TRANSFORM + "filtered_journeys.parquet"),
client=s3.create_client(),
)
def output(self):
return S3Target(s3.path(S3.EXTRACT + "interventions.parquet"),
client=s3.create_client())
def output(self):
return S3Target(s3.path(S3.EXTRACT + "pedidos.parquet"),
client=s3.create_client())