stared / livelossplot

Live training loss plot in Jupyter Notebook for Keras, PyTorch and others

Home Page:https://p.migdal.pl/livelossplot

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AttributeError in jupyter

Uwemat opened this issue · comments

Hi!
I'm new to TF and keras and wanted to try out 'livelossplot'. I get the following Error:

AttributeError: module 'neptune' has no attribute 'Context'

This is my code:

`
model.compile(loss='binary_crossentropy',
optimizer='adam',
metrics=['accuracy', 'mean_squared_error'])

plot_losses = PlotLossesCallback()

model.fit(X_train, y_train,
epochs=2,
batch_size=1,
validation_data=(X_test, y_test),
callbacks=[plot_losses],
verbose=0)

AttributeError Traceback (most recent call last)
in
4
5
----> 6 plot_losses = PlotLossesCallback()
7
8 model.fit(X_train, y_train,

D:\Programme\Anaconda3\envs\tensorflow_env\lib\site-packages\livelossplot\keras.py in init(self, **kwargs)
7 def init(self, **kwargs):
8 keras.callbacks.Callback.init(self)
----> 9 _PlotLossesCallback.init(self, **kwargs)

D:\Programme\Anaconda3\envs\tensorflow_env\lib\site-packages\livelossplot\generic_keras.py in init(self, **kwargs)
26 class _PlotLossesCallback():
27 def init(self, **kwargs):
---> 28 self.liveplot = PlotLosses(**kwargs)
29
30 def on_train_begin(self, logs={}):

D:\Programme\Anaconda3\envs\tensorflow_env\lib\site-packages\livelossplot\generic_plot.py in init(self, figsize, cell_size, dynamic_x_axis, max_cols, max_epoch, metric2title, series_fmt, validation_fmt, plot_extrema, fig_path, target)
37 self.plot_extrema = plot_extrema
38 self.target = target
---> 39 from .neptune_integration import neptune_send_plot
40 self.fig_path = fig_path
41

D:\Programme\Anaconda3\envs\tensorflow_env\lib\site-packages\livelossplot\neptune_integration.py in
1 import neptune
2
----> 3 ctx = neptune.Context()
4
5
AttributeError: module 'neptune' has no attribute 'Context'`

Any idea?

@Uwemat Thanks for reporting, duplicate of #51