TensorFlow Estimator BestExporter event_file_pattern doesn't do anything
I have a colab with a very simple demo Estimator for the sole purpose of learning / understanding the Estimator api with the goal of making a convention for a plug-and-play model with common bells and whistles of the trade in tack (e.g. early stopping if the validation set stops improving, exporting the model, etc).
In the cell where I define the BestExporter I have:
exporter = tf.estimator.BestExporter(
name="best_exporter",
serving_input_receiver_fn=serving_input_receiver_fn,
# event_file_pattern="model_*", # <--- doesn't do anything?
exports_to_keep=5
) # this will keep the 5 best checkpoints
which currently exports my best models under
<MODEL_DIR>/export/best_exporter/<some_number>
where MODEL_DIR=./test (under the cell setup > constants and specified in the RunConfig set in estimator functions > run config)
If I uncomment event_file_pattern="model_*", I expected to see my model be exported to <MODEL_DIR>/export/best_exporter/model_<number>, but it doesn't.
So how do I specify what my models should be called?
For example, in the colab I track the metrics mse and mae.
How would I get the 5 best exports_to_keep be saved as:
MODEL_DIR/export/best_exporter/<model_name>_mae_<mae-rounded-to-3-decimals>
?
python tensorflow tensorflow-serving tensorflow-estimator
asked Nov 21 '18 at 10:03
SumNeuronSumNeuron
1,231826
add a comment |
I have a colab with a very simple demo Estimator for the sole purpose of learning / understanding the Estimator api with the goal of making a convention for a plug-and-play model with common bells and whistles of the trade in tack (e.g. early stopping if the validation set stops improving, exporting the model, etc).
In the cell where I define the BestExporter I have:
exporter = tf.estimator.BestExporter(
name="best_exporter",
serving_input_receiver_fn=serving_input_receiver_fn,
# event_file_pattern="model_*", # <--- doesn't do anything?
exports_to_keep=5
) # this will keep the 5 best checkpoints
which currently exports my best models under
<MODEL_DIR>/export/best_exporter/<some_number>
where MODEL_DIR=./test (under the cell setup > constants and specified in the RunConfig set in estimator functions > run config)
If I uncomment event_file_pattern="model_*", I expected to see my model be exported to <MODEL_DIR>/export/best_exporter/model_<number>, but it doesn't.
So how do I specify what my models should be called?
For example, in the colab I track the metrics mse and mae.
How would I get the 5 best exports_to_keep be saved as:
MODEL_DIR/export/best_exporter/<model_name>_mae_<mae-rounded-to-3-decimals>
?
python tensorflow tensorflow-serving tensorflow-estimator
asked Nov 21 '18 at 10:03
SumNeuronSumNeuron
1,231826
add a comment |
I have a colab with a very simple demo Estimator for the sole purpose of learning / understanding the Estimator api with the goal of making a convention for a plug-and-play model with common bells and whistles of the trade in tack (e.g. early stopping if the validation set stops improving, exporting the model, etc).
In the cell where I define the BestExporter I have:
exporter = tf.estimator.BestExporter(
name="best_exporter",
serving_input_receiver_fn=serving_input_receiver_fn,
# event_file_pattern="model_*", # <--- doesn't do anything?
exports_to_keep=5
) # this will keep the 5 best checkpoints
which currently exports my best models under
<MODEL_DIR>/export/best_exporter/<some_number>
where MODEL_DIR=./test (under the cell setup > constants and specified in the RunConfig set in estimator functions > run config)
If I uncomment event_file_pattern="model_*", I expected to see my model be exported to <MODEL_DIR>/export/best_exporter/model_<number>, but it doesn't.
So how do I specify what my models should be called?
For example, in the colab I track the metrics mse and mae.
How would I get the 5 best exports_to_keep be saved as:
MODEL_DIR/export/best_exporter/<model_name>_mae_<mae-rounded-to-3-decimals>
?
python tensorflow tensorflow-serving tensorflow-estimator
asked Nov 21 '18 at 10:03
SumNeuronSumNeuron
1,231826
I have a colab with a very simple demo Estimator for the sole purpose of learning / understanding the Estimator api with the goal of making a convention for a plug-and-play model with common bells and whistles of the trade in tack (e.g. early stopping if the validation set stops improving, exporting the model, etc).
In the cell where I define the BestExporter I have:
exporter = tf.estimator.BestExporter(
name="best_exporter",
serving_input_receiver_fn=serving_input_receiver_fn,
# event_file_pattern="model_*", # <--- doesn't do anything?
exports_to_keep=5
) # this will keep the 5 best checkpoints
which currently exports my best models under
<MODEL_DIR>/export/best_exporter/<some_number>
where MODEL_DIR=./test (under the cell setup > constants and specified in the RunConfig set in estimator functions > run config)
If I uncomment event_file_pattern="model_*", I expected to see my model be exported to <MODEL_DIR>/export/best_exporter/model_<number>, but it doesn't.
So how do I specify what my models should be called?
For example, in the colab I track the metrics mse and mae.
How would I get the 5 best exports_to_keep be saved as:
MODEL_DIR/export/best_exporter/<model_name>_mae_<mae-rounded-to-3-decimals>
?
python tensorflow tensorflow-serving tensorflow-estimator
python tensorflow tensorflow-serving tensorflow-estimator
asked Nov 21 '18 at 10:03
SumNeuronSumNeuron
1,231826
asked Nov 21 '18 at 10:03
SumNeuronSumNeuron
1,231826
asked Nov 21 '18 at 10:03
SumNeuronSumNeuron
1,231826
asked Nov 21 '18 at 10:03
SumNeuronSumNeuron
1,231826
asked Nov 21 '18 at 10:03
SumNeuronSumNeuron
1,231826
1,231826
add a comment |
add a comment |
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