feat: enable feature transforms

Signed-off-by: Avik Basu <[email protected]>

numalogic/backtest/_prom.py

@@ -137,9 +137,14 @@ def train_models(
  x_train = df_train.to_numpy(dtype=np.float32)
  LOGGER.info("Training data shape: %s", x_train.shape)
 
+ if self.nlconf.trainer.transforms:
+ train_txs = PreprocessFactory().get_pipeline_instance(self.nlconf.trainer.transforms)
+ else:
+ train_txs = None
  artifacts = UDFFactory.get_udf_cls("promtrainer").compute(
  model=ModelFactory().get_instance(self.nlconf.model),
  input_=x_train,
+ trainer_transform=train_txs,
  preproc_clf=PreprocessFactory().get_pipeline_instance(self.nlconf.preprocess),
  threshold_clf=ThresholdFactory().get_instance(self.nlconf.threshold),
  numalogic_cfg=self.nlconf,