WARN 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] WARN 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] WARN 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] WARN 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 WARN 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] WARN 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 WARN 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] WARN 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. WARN 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. WARN 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. WARN 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 ERROR 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. ERROR Keras Network Executor 3:151 Execute failed: An error occured during execution of the deep learning network. See log for details. WARN 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]