Keras Error when returning model [on hold]
$begingroup$
I have defined the following function:
def build(self):
input_layer = Input(shape=(self.col_amt,))
encoded = Dense(math.ceil(self.col_amt/2), activation='relu')(input_layer)
decoded = Dense(self.col_amt, activation='sigmoid')(encoded)
model = Model(input_layer, decoded)
model.compile(optimizer='adadelta', loss='binary_crossentropy')
return model
It's an encoder-decoder model using keras API.
self.col_amt is the number of features used.
While debugging, I get an error while i try to return the model (so on the last line).
The error is:
TypeError: __call__() missing 1 required positional argument: 'inputs'
Now here is the tricky/weird part. This exact function (i copy-pasted this code for testing purposes) is used in two child classes. When making one of the child class that contains the build() function i get the error. In the other one it runs fine. The function build() only depends on self.col_amt which is the same for the two child classes.
to conclude:
- Super class has self.col_amt and this is filled in
- Super class calls self.build() in the constructor
- When making a child class the error occurs in the last line
of build(). 'return model'
I've been stuck on this error for quite some time as I can't seem to wrap my head around it. Any direction is helpfull.
neural-network keras autoencoder
New contributor
$endgroup$
put on hold as unclear what you're asking by Thomas Cleberg, Sean Owen♦ 3 hours ago
Please clarify your specific problem or add additional details to highlight exactly what you need. As it's currently written, it’s hard to tell exactly what you're asking. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.
add a comment |
$begingroup$
I have defined the following function:
def build(self):
input_layer = Input(shape=(self.col_amt,))
encoded = Dense(math.ceil(self.col_amt/2), activation='relu')(input_layer)
decoded = Dense(self.col_amt, activation='sigmoid')(encoded)
model = Model(input_layer, decoded)
model.compile(optimizer='adadelta', loss='binary_crossentropy')
return model
It's an encoder-decoder model using keras API.
self.col_amt is the number of features used.
While debugging, I get an error while i try to return the model (so on the last line).
The error is:
TypeError: __call__() missing 1 required positional argument: 'inputs'
Now here is the tricky/weird part. This exact function (i copy-pasted this code for testing purposes) is used in two child classes. When making one of the child class that contains the build() function i get the error. In the other one it runs fine. The function build() only depends on self.col_amt which is the same for the two child classes.
to conclude:
- Super class has self.col_amt and this is filled in
- Super class calls self.build() in the constructor
- When making a child class the error occurs in the last line
of build(). 'return model'
I've been stuck on this error for quite some time as I can't seem to wrap my head around it. Any direction is helpfull.
neural-network keras autoencoder
New contributor
$endgroup$
put on hold as unclear what you're asking by Thomas Cleberg, Sean Owen♦ 3 hours ago
Please clarify your specific problem or add additional details to highlight exactly what you need. As it's currently written, it’s hard to tell exactly what you're asking. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.
add a comment |
$begingroup$
I have defined the following function:
def build(self):
input_layer = Input(shape=(self.col_amt,))
encoded = Dense(math.ceil(self.col_amt/2), activation='relu')(input_layer)
decoded = Dense(self.col_amt, activation='sigmoid')(encoded)
model = Model(input_layer, decoded)
model.compile(optimizer='adadelta', loss='binary_crossentropy')
return model
It's an encoder-decoder model using keras API.
self.col_amt is the number of features used.
While debugging, I get an error while i try to return the model (so on the last line).
The error is:
TypeError: __call__() missing 1 required positional argument: 'inputs'
Now here is the tricky/weird part. This exact function (i copy-pasted this code for testing purposes) is used in two child classes. When making one of the child class that contains the build() function i get the error. In the other one it runs fine. The function build() only depends on self.col_amt which is the same for the two child classes.
to conclude:
- Super class has self.col_amt and this is filled in
- Super class calls self.build() in the constructor
- When making a child class the error occurs in the last line
of build(). 'return model'
I've been stuck on this error for quite some time as I can't seem to wrap my head around it. Any direction is helpfull.
neural-network keras autoencoder
New contributor
$endgroup$
I have defined the following function:
def build(self):
input_layer = Input(shape=(self.col_amt,))
encoded = Dense(math.ceil(self.col_amt/2), activation='relu')(input_layer)
decoded = Dense(self.col_amt, activation='sigmoid')(encoded)
model = Model(input_layer, decoded)
model.compile(optimizer='adadelta', loss='binary_crossentropy')
return model
It's an encoder-decoder model using keras API.
self.col_amt is the number of features used.
While debugging, I get an error while i try to return the model (so on the last line).
The error is:
TypeError: __call__() missing 1 required positional argument: 'inputs'
Now here is the tricky/weird part. This exact function (i copy-pasted this code for testing purposes) is used in two child classes. When making one of the child class that contains the build() function i get the error. In the other one it runs fine. The function build() only depends on self.col_amt which is the same for the two child classes.
to conclude:
- Super class has self.col_amt and this is filled in
- Super class calls self.build() in the constructor
- When making a child class the error occurs in the last line
of build(). 'return model'
I've been stuck on this error for quite some time as I can't seem to wrap my head around it. Any direction is helpfull.
neural-network keras autoencoder
neural-network keras autoencoder
New contributor
New contributor
New contributor
asked 15 hours ago
user66096user66096
1
1
New contributor
New contributor
put on hold as unclear what you're asking by Thomas Cleberg, Sean Owen♦ 3 hours ago
Please clarify your specific problem or add additional details to highlight exactly what you need. As it's currently written, it’s hard to tell exactly what you're asking. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.
put on hold as unclear what you're asking by Thomas Cleberg, Sean Owen♦ 3 hours ago
Please clarify your specific problem or add additional details to highlight exactly what you need. As it's currently written, it’s hard to tell exactly what you're asking. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.
add a comment |
add a comment |
0
active
oldest
votes
0
active
oldest
votes
0
active
oldest
votes
active
oldest
votes
active
oldest
votes