I am trying to implement the quickstart (distributed) on my synapse notebook and when I am trying to fit the lightGBM model I am getting the following error: Py4JJavaError: An error occurred while calling o27957.fit. : java.lang.Exception: Dataset create from samples call failed in LightGBM with error: Feature (Column_) appears more than one time. at com.microsoft.azure.synapse.ml.lightgbm.LightGBMUtils$.validate(LightGBMUtils.scala:18) at com.microsoft.azure.synapse.ml.lightgbm.dataset.ReferenceDatasetUtils$.createReferenceDatasetFromSample(ReferenceDatasetUtils.scala:47) at com.microsoft.azure.synapse.ml.lightgbm.LightGBMBase.calculateRowStatistics(LightGBMBase.scala:545) at com.microsoft.azure.synapse.ml.lightgbm.LightGBMBase.trainOneDataBatch(LightGBMBase.scala:425) at com.microsoft.azure.synapse.ml.lightgbm.LightGBMBase.$anonfun$train$2(LightGBMBase.scala:62) at com.microsoft.azure.synapse.ml.logging.SynapseMLLogging.logVerb(SynapseMLLogging.scala:163) at com.microsoft.azure.synapse.ml.logging.SynapseMLLogging.logVerb$(SynapseMLLogging.scala:160) at com.microsoft.azure.synapse.ml.lightgbm.LightGBMRegressor.logVerb(LightGBMRegressor.scala:39) at com.microsoft.azure.synapse.ml.logging.SynapseMLLogging.logFit(SynapseMLLogging.scala:153) at com.microsoft.azure.synapse.ml.logging.SynapseMLLogging.logFit$(SynapseMLLogging.scala:152) at com.microsoft.azure.synapse.ml.lightgbm.LightGBMRegressor.logFit(LightGBMRegressor.scala:39) at com.microsoft.azure.synapse.ml.lightgbm.LightGBMBase.train(LightGBMBase.scala:64) at com.microsoft.azure.synapse.ml.lightgbm.LightGBMBase.train$(LightGBMBase.scala:36) at com.microsoft.azure.synapse.ml.lightgbm.LightGBMRegressor.train(LightGBMRegressor.scala:39) at com.microsoft.azure.synapse.ml.lightgbm.LightGBMRegressor.train(LightGBMRegressor.scala:39) at org.apache.spark.ml.Predictor.fit(Predictor.scala:114) at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.base/java.lang.reflect.Method.invoke(Method.java:566) at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244) at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374) at py4j.Gateway.invoke(Gateway.java:282) at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132) at py4j.commands.CallCommand.execute(CallCommand.java:79) at py4j.GatewayConnection.run(GatewayConnection.java:238) at java.base/java.lang.Thread.run(Thread.java:829) I tried debugging it by using .preprocess to check if there are any dupilcate columns, but there aren't any. Is there a way to resolve this issue?