def points(self):
if self._X is None:
self._X = ravdb.get_ops_by_name(op_name="X_train",
graph_id=self.id)[0]
if self._X.status == "computed":
return self._X.output
else:
raise Exception("Need to complete the prediction first")
def coefficients(self):
if self._coefficients is None:
self._coefficients = ravdb.get_ops_by_name(op_name="coefficients",
graph_id=self.id)[0]
print(self._coefficients.id)
if self._coefficients.status == "computed":
return self._coefficients.output
else:
raise Exception("Need to train the model first")
def labels(self):
if self._labels is None:
self._labels = ravdb.get_ops_by_name(op_name="label",
graph_id=self.id)[0]
print(self._labels.id)
if self._labels.status == "computed":
return self._labels.output
else:
raise Exception("Need to complete the prediction first")
def get_ops_by_name(op_name, graph_id=None):
ops = ravdb.get_ops_by_name(op_name=op_name, graph_id=graph_id)
return [Op(id=op.id) for op in ops]