https://docs.microsoft.com/en-us/azure/databricks/_static/notebooks/deep-learning/tfrecords-save-loa...
I could not run the Cell # 2
java.lang.ClassNotFoundException:
---------------------------------------------------------------------------
Py4JJavaError Traceback (most recent call last)
<command-4336535992800220> in <module>
3 path = '/ml/flowersData/df-{}.tfrecord'.format(name_uuid)
4 print(path)
----> 5 df.limit(100).write.format("tfrecords").mode("overwrite").save(path)
/databricks/spark/python/pyspark/sql/readwriter.py in save(self, path, format, mode, partitionBy, **options)
738 self._jwrite.save()
739 else:
--> 740 self._jwrite.save(path)
741
742 @since(1.4)
/databricks/spark/python/lib/py4j-0.10.9.1-src.zip/py4j/java_gateway.py in __call__(self, *args)
1302
1303 answer = self.gateway_client.send_command(command)
-> 1304 return_value = get_return_value(
1305 answer, self.gateway_client, self.target_id, self.name)
1306
Can anyone help?
