Keras: Location of .keras

[apiszcz]

Can I set the location of .keras to be somewhere other than ~/, say and arbitrary location?
I would like to package my weights in a subfolder of the application not the user directory.
Thank you.

[kirit93]

Why do you need to change the location of the .keras folder? If you take a look at the Keras sources (https://github.com/fchollet/keras/blob/25dbe8097fba9a6a429e19d0625d78c3b8731527/keras/backend/__init__.py#L18) you'll see that the base directory is set to your home directory.
I'm not sure if this can be changed.
As for packaging you weights, try doing something like this.

filepath="weights.hdf5"
checkpoint = ModelCheckpoint(filepath, monitor='loss', verbose=1, save_best_only=True, mode='min')
callbacks_list = [checkpoint]
model.fit(x, y, nb_epoch=10, batch_size=64, callbacks=callbacks_list)

[apiszcz]

Thanks for checkpoint/model location example.

On Wed, Feb 22, 2017 at 11:36 AM, Kirit Thadaka [e-mail]
wrote:

Why do you need to change the location of the .keras folder? If you take a
look at the Keras sources (https://github.com/fchollet/keras/blob/
25dbe8097fba9a6a429e19d0625d78c3b8731527/keras/backend/__init__.py#L18)
you'll see that the base directory is set to your home directory.
I'm not sure if this can be changed.
As for packaging you weights, try doing something like this.

filepath="weights.hdf5"
checkpoint = ModelCheckpoint(filepath, monitor='loss', verbose=1, save_best_only=True, mode='min')
callbacks_list = [checkpoint]
model.fit(x, y, nb_epoch=10, batch_size=64, callbacks=callbacks_list)

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[apiszcz]

this may be another option

_keras_base_dir = os.path.expanduser('~')
if not os.access(_keras_base_dir, os.W_OK):
_keras_base_dir = '/tmp'

On Wed, Feb 22, 2017 at 11:36 AM, Kirit Thadaka
[e-mail] wrote:

Why do you need to change the location of the .keras folder? If you take a
look at the Keras sources
(https://github.com/fchollet/keras/blob/25dbe8097fba9a6a429e19d0625d78c3b8731527/keras/backend/__init__.py#L18)
you'll see that the base directory is set to your home directory.
I'm not sure if this can be changed.
As for packaging you weights, try doing something like this.

filepath="weights.hdf5"
checkpoint = ModelCheckpoint(filepath, monitor='loss', verbose=1,
save_best_only=True, mode='min')
callbacks_list = [checkpoint]
model.fit(x, y, nb_epoch=10, batch_size=64, callbacks=callbacks_list)

—
You are receiving this because you authored the thread.
Reply to this email directly, view it on GitHub, or mute the thread.

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[tensorfoo]

Set the environment variable KERAS_HOME.

[medined]

Why do you need to change the location of the .keras folder?

My /home partition is not large. My /data partition is over 1TB. I try to put everything on the /data partition.