2022-10-27 14:00:19,301 : WARN  : main :  : Node : Keras Network Writer : 3:193 : Output file 'C:\Users\Andre\knime-workspace\Multivariate_Time_Series_RNN_Keras_Training_with_Conda_Env\data\bike-prediction-75-epochs-new.h5' exists and will be overwritten
2022-10-27 14:00:19,302 : WARN  : main :  : Node : Denormalizer : 3:188:154 : Some column(s) as specified by the model is not present in the data: [t1, t2, hum, wind_speed, weather_code, is_holiday, is_weekend, season, Month (number), Day of month, Day of week (number), Hour]
2022-10-27 14:00:52,568 : WARN  : KNIME-Worker-51-Loop End (Column Append) 3:187:183 :  : Node : Denormalizer : 3:156 : Some column(s) as specified by the model is not present in the data: [t1, t2, hum, wind_speed, weather_code, is_holiday, is_weekend, season, Month (number), Day of month, Day of week (number), Hour]
2022-10-27 14:00:52,612 : WARN  : KNIME-Worker-49-Partitioning 3:150 :  : Node : Denormalizer : 3:156 : Some column(s) as specified by the model is not present in the data: [t1, t2, hum, wind_speed, weather_code, is_holiday, is_weekend, season, Month (number), Day of month, Day of week (number), Hour]
2022-10-27 14:00:52,620 : WARN  : KNIME-Worker-45-Denormalizer 3:156 :  : Node : Denormalizer : 3:156 : Normalization was not applied to 12 column(s) as they do not exist in the table: [hum, is_holiday, Hour, Month (number), Day of month, Day of week (number), season, wind_speed, t1, t2, weather_code, is_weekend]
2022-10-27 14:00:55,113 : WARN  : KNIME-Worker-46-Loop End (Column Append) 3:186:137 :  : Node : Keras Network Writer : 3:193 : Output file 'C:\Users\Andre\knime-workspace\Multivariate_Time_Series_RNN_Keras_Training_with_Conda_Env\data\bike-prediction-75-epochs-new.h5' exists and will be overwritten
2022-10-27 14:00:55,113 : WARN  : KNIME-Worker-46-Loop End (Column Append) 3:186:137 :  : Node : Denormalizer : 3:188:154 : Some column(s) as specified by the model is not present in the data: [t1, t2, hum, wind_speed, weather_code, is_holiday, is_weekend, season, Month (number), Day of month, Day of week (number), Hour]
2022-10-27 14:00:56,787 : WARN  : KNIME-Worker-48-Conda Environment Propagation 3:197 :  : Node : Keras Network Writer : 3:193 : Output file 'C:\Users\Andre\knime-workspace\Multivariate_Time_Series_RNN_Keras_Training_with_Conda_Env\data\bike-prediction-75-epochs-new.h5' exists and will be overwritten
2022-10-27 14:00:56,787 : WARN  : KNIME-Worker-48-Conda Environment Propagation 3:197 :  : Node : Denormalizer : 3:188:154 : Some column(s) as specified by the model is not present in the data: [t1, t2, hum, wind_speed, weather_code, is_holiday, is_weekend, season, Month (number), Day of month, Day of week (number), Hour]
2022-10-27 14:01:09,044 : WARN  : KNIME-Worker-59-Keras Network Learner 3:148 :  : DLKnimeNetworkTrainingInputPreparer : Keras Network Learner : 3:148 : The number of rows of the input training data table (13921) is not a multiple of the selected training batch size (32). Thus, the last batch of each epoch will continue at the beginning of the training data table after reaching its end. You can avoid that by adjusting the number of rows of the table or the batch size if desired.
2022-10-27 14:01:09,044 : WARN  : KNIME-Worker-59-Keras Network Learner 3:148 :  : DLKnimeNetworkValidationInputPreparer : Keras Network Learner : 3:148 : The number of rows of the input validation data table (1736) is not a multiple of the selected validation batch size (32). Thus, the last batch of each validation phase will continue at the beginning of the validation data table after reaching its end. You can avoid that by adjusting the number of rows of the table or the batch size if desired.
2022-10-27 14:01:09,427 : WARN  : Thread-100 :  : PythonKernel : Keras Network Learner : 3:148 : C:\Users\Andre\anaconda3\envs\py3_knime_dl_1\lib\site-packages\keras\engine\saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually.
2022-10-27 14:17:46,077 : WARN  : KNIME-Worker-59-Keras Network Learner 3:148 :  : Node : Keras Network Writer : 3:193 : Output file 'C:\Users\Andre\knime-workspace\Multivariate_Time_Series_RNN_Keras_Training_with_Conda_Env\data\bike-prediction-75-epochs-new.h5' exists and will be overwritten
2022-10-27 14:17:47,619 : ERROR : KNIME-Worker-62-Keras Network Executor 3:151 :  : DLAbstractExecutorNodeModel : Keras Network Executor : 3:151 : Selected back end 'Keras (TensorFlow)' is not available anymore. Please check your local installation.
Details: Deep learning Python back end installation tests failed.
Cause: Python library 'tensorflow' or one of its dependencies is missing.
Python library 'keras' or one of its dependencies is missing.
In case Python packages are missing: you can create a new Python Conda environment that contains all packages required by the KNIME deep learning integrations in the "KNIME Deep Learning" Preferences.
2022-10-27 14:17:49,733 : ERROR : KNIME-Worker-62-Keras Network Executor 3:151 :  : Node : Keras Network Executor : 3:151 : Execute failed: An error occured during execution of the deep learning network. See log for details.
java.lang.RuntimeException: An error occured during execution of the deep learning network. See log for details.
	at org.knime.dl.base.nodes.executor2.DLAbstractExecutorNodeModel.handleGeneralException(DLAbstractExecutorNodeModel.java:680)
	at org.knime.dl.base.nodes.executor2.DLAbstractExecutorNodeModel.executeInternal(DLAbstractExecutorNodeModel.java:562)
	at org.knime.dl.base.nodes.executor2.DLAbstractExecutorNodeModel.execute(DLAbstractExecutorNodeModel.java:294)
	at org.knime.core.node.NodeModel.executeModel(NodeModel.java:549)
	at org.knime.core.node.Node.invokeFullyNodeModelExecute(Node.java:1267)
	at org.knime.core.node.Node.execute(Node.java:1041)
	at org.knime.core.node.workflow.NativeNodeContainer.performExecuteNode(NativeNodeContainer.java:595)
	at org.knime.core.node.exec.LocalNodeExecutionJob.mainExecute(LocalNodeExecutionJob.java:95)
	at org.knime.core.node.workflow.NodeExecutionJob.internalRun(NodeExecutionJob.java:201)
	at org.knime.core.node.workflow.NodeExecutionJob.run(NodeExecutionJob.java:117)
	at org.knime.core.util.ThreadUtils$RunnableWithContextImpl.runWithContext(ThreadUtils.java:367)
	at org.knime.core.util.ThreadUtils$RunnableWithContext.run(ThreadUtils.java:221)
	at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source)
	at java.base/java.util.concurrent.FutureTask.run(Unknown Source)
	at org.knime.core.util.ThreadPool$MyFuture.run(ThreadPool.java:123)
	at org.knime.core.util.ThreadPool$Worker.run(ThreadPool.java:246)
Caused by: org.knime.core.node.InvalidSettingsException: Selected back end 'Keras (TensorFlow)' is not available anymore. Please check your local installation.
Details: Deep learning Python back end installation tests failed.
Cause: Python library 'tensorflow' or one of its dependencies is missing.
Python library 'keras' or one of its dependencies is missing.
In case Python packages are missing: you can create a new Python Conda environment that contains all packages required by the KNIME deep learning integrations in the "KNIME Deep Learning" Preferences.
	at org.knime.dl.base.nodes.executor2.DLAbstractExecutorNodeModel.getExecutionContext(DLAbstractExecutorNodeModel.java:624)
	at org.knime.dl.keras.base.nodes.executor.DLKerasExecutorNodeModel.createExecutionSession(DLKerasExecutorNodeModel.java:104)
	at org.knime.dl.keras.base.nodes.executor.DLKerasExecutorNodeModel.createExecutionSession(DLKerasExecutorNodeModel.java:1)
	at org.knime.dl.base.nodes.executor2.DLAbstractExecutorNodeModel.executeInternal(DLAbstractExecutorNodeModel.java:554)
	... 14 more
2022-10-27 14:17:49,736 : WARN  : KNIME-Worker-62-Keras Network Executor 3:151 :  : Node : Denormalizer : 3:188:154 : Some column(s) as specified by the model is not present in the data: [t1, t2, hum, wind_speed, weather_code, is_holiday, is_weekend, season, Month (number), Day of month, Day of week (number), Hour]