Update README to clarify that partial matching is not implemented in the code.

PiperOrigin-RevId: 635816253

Author: raj-sinha

README.md

@@ -15,6 +15,8 @@
 
 [Semi-supervised Pseudo Labeler Anomaly Detection with Ensembling (SPADE)](https://openreview.net/forum?id=JwDpZSv3yz)  is a semi-supervised anomaly detection method that uses an ensemble of one class classifiers as the pseudo-labelers and supervised classifiers to achieve state of the art results especially on datasets with distribution mismatch between labeled and unlabeled samples. Provided with a min-max scaled dataset, and label values denoting unlabeled, positive, and negative data points located in BigQuery, this custom model trains and uploads TensorFlow saved model assets to a specified GCS location.
 
+==Partial matching as described in the paper is not implemented in the open-source version of SPADE==
+
 ## Assumptions
 
 - You have a Google Cloud account and are familiar with the console