Save predictions from tf.data and tf.keras.model.predict to HDFS2019 Community Moderator ElectionWhat is the quickest way to HTTP GET in Python?Python progression path - From apprentice to guruPeak detection in a 2D array“Large data” work flows using pandasKeras, how do I predict after I trained a model?Load saved checkpoint and predict not producing same results as in trainingReplacing tf.placeholder and feed_dict with tf.data APITensorflow: Low GPU Load when using tf.DataSave the prediction output of Tensorflow model into hdfs fileWhy should I use tf.data?
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Save predictions from tf.data and tf.keras.model.predict to HDFS
2019 Community Moderator ElectionWhat is the quickest way to HTTP GET in Python?Python progression path - From apprentice to guruPeak detection in a 2D array“Large data” work flows using pandasKeras, how do I predict after I trained a model?Load saved checkpoint and predict not producing same results as in trainingReplacing tf.placeholder and feed_dict with tf.data APITensorflow: Low GPU Load when using tf.DataSave the prediction output of Tensorflow model into hdfs fileWhy should I use tf.data?
I have a tf.data and have a trained tf.keras.model. I would like to save the results of tf.keras.model.predict( tf.data ) back to HDFS. I'm trying to find a way to do this for a large dataset to be run in a cluster. Hence I'm not preferring storing the predictions as an in-memory array.
python tensorflow keras tensorflow-datasets
asked Mar 7 at 5:24
NitinNitin
2,81211620
add a comment |
I have a tf.data and have a trained tf.keras.model. I would like to save the results of tf.keras.model.predict( tf.data ) back to HDFS. I'm trying to find a way to do this for a large dataset to be run in a cluster. Hence I'm not preferring storing the predictions as an in-memory array.
python tensorflow keras tensorflow-datasets
asked Mar 7 at 5:24
NitinNitin
2,81211620
add a comment |
I have a tf.data and have a trained tf.keras.model. I would like to save the results of tf.keras.model.predict( tf.data ) back to HDFS. I'm trying to find a way to do this for a large dataset to be run in a cluster. Hence I'm not preferring storing the predictions as an in-memory array.
python tensorflow keras tensorflow-datasets
asked Mar 7 at 5:24
NitinNitin
2,81211620
I have a tf.data and have a trained tf.keras.model. I would like to save the results of tf.keras.model.predict( tf.data ) back to HDFS. I'm trying to find a way to do this for a large dataset to be run in a cluster. Hence I'm not preferring storing the predictions as an in-memory array.
python tensorflow keras tensorflow-datasets
python tensorflow keras tensorflow-datasets
asked Mar 7 at 5:24
NitinNitin
2,81211620
asked Mar 7 at 5:24
NitinNitin
2,81211620
asked Mar 7 at 5:24
NitinNitin
2,81211620
asked Mar 7 at 5:24
NitinNitin
2,81211620
asked Mar 7 at 5:24
NitinNitin
2,81211620
2,81211620
add a comment |
add a comment |
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