How to define a custom metric function in R for Keras?How to define a custom performance metric in Keras?Custom weight initialization in KerasCustom loss function with additional parameter in KerasCustom conditional loss function in KerasKeras/TensorFlow in R - Additional Vector to Custom Loss FunctionCustom conditional Keras metricHow to Implement a Custom Loss Function with Keras for a Sparse DatasetUsing a custom R generator function with fit_generator (Keras, R)Custom Loss Function on a Keras Neural NetworkHow to develop custom metric with one class priority Keras
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How to define a custom metric function in R for Keras?
How to define a custom performance metric in Keras?Custom weight initialization in KerasCustom loss function with additional parameter in KerasCustom conditional loss function in KerasKeras/TensorFlow in R - Additional Vector to Custom Loss FunctionCustom conditional Keras metricHow to Implement a Custom Loss Function with Keras for a Sparse DatasetUsing a custom R generator function with fit_generator (Keras, R)Custom Loss Function on a Keras Neural NetworkHow to develop custom metric with one class priority Keras
$begingroup$
I just started using keras and would like to use unweighted kappa as a metric when compiling my model. Following the instructions from here, I tried to define my custom metric as follows:
library(DescTools) # includes function to calculate kappa
library(keras)
metric_kappa <- function(y_true, y_pred)
CohenKappa(y_true, y_pred)
model %>% compile(
loss = 'categorical_crossentropy',
optimizer = optimizer_rmsprop(),
metrics = metric_kappa
)
However, there must be something wrong with my definition since I get a segmentation fault. Any idea on how to solve this and how to properly set up a custom metric would be highly appreciated.
keras r
asked Mar 18 at 8:05
Patrick BaladaPatrick Balada
1062
New contributor
Patrick Balada is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
I just started using keras and would like to use unweighted kappa as a metric when compiling my model. Following the instructions from here, I tried to define my custom metric as follows:
library(DescTools) # includes function to calculate kappa
library(keras)
metric_kappa <- function(y_true, y_pred)
CohenKappa(y_true, y_pred)
model %>% compile(
loss = 'categorical_crossentropy',
optimizer = optimizer_rmsprop(),
metrics = metric_kappa
)
However, there must be something wrong with my definition since I get a segmentation fault. Any idea on how to solve this and how to properly set up a custom metric would be highly appreciated.
keras r
asked Mar 18 at 8:05
Patrick BaladaPatrick Balada
1062
New contributor
Patrick Balada is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
I just started using keras and would like to use unweighted kappa as a metric when compiling my model. Following the instructions from here, I tried to define my custom metric as follows:
library(DescTools) # includes function to calculate kappa
library(keras)
metric_kappa <- function(y_true, y_pred)
CohenKappa(y_true, y_pred)
model %>% compile(
loss = 'categorical_crossentropy',
optimizer = optimizer_rmsprop(),
metrics = metric_kappa
)
However, there must be something wrong with my definition since I get a segmentation fault. Any idea on how to solve this and how to properly set up a custom metric would be highly appreciated.
keras r
asked Mar 18 at 8:05
Patrick BaladaPatrick Balada
1062
New contributor
Patrick Balada is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I just started using keras and would like to use unweighted kappa as a metric when compiling my model. Following the instructions from here, I tried to define my custom metric as follows:
library(DescTools) # includes function to calculate kappa
library(keras)
metric_kappa <- function(y_true, y_pred)
CohenKappa(y_true, y_pred)
model %>% compile(
loss = 'categorical_crossentropy',
optimizer = optimizer_rmsprop(),
metrics = metric_kappa
)
However, there must be something wrong with my definition since I get a segmentation fault. Any idea on how to solve this and how to properly set up a custom metric would be highly appreciated.
keras r
keras r
asked Mar 18 at 8:05
Patrick BaladaPatrick Balada
1062
New contributor
Patrick Balada is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked Mar 18 at 8:05
Patrick BaladaPatrick Balada
1062
New contributor
Patrick Balada is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
edited Mar 18 at 8:23
Patrick Balada
asked Mar 18 at 8:05
Patrick BaladaPatrick Balada
1062
New contributor
Patrick Balada is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked Mar 18 at 8:05
Patrick BaladaPatrick Balada
1062
asked Mar 18 at 8:05
Patrick BaladaPatrick Balada
1062
1062
New contributor
Patrick Balada is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Patrick Balada is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Patrick Balada is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
add a comment |
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This answers suggests a wrapper function . Does that work in your usecase ?
https://stackoverflow.com/a/51415066/655855
answered Mar 18 at 9:44
Shamit VermaShamit Verma
90929
$endgroup$
add a comment |
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1 Answer
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1 Answer
1
active
oldest
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active
oldest
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active
oldest
votes
$begingroup$
This answers suggests a wrapper function . Does that work in your usecase ?
https://stackoverflow.com/a/51415066/655855
answered Mar 18 at 9:44
Shamit VermaShamit Verma
90929
$endgroup$
add a comment |
$begingroup$
This answers suggests a wrapper function . Does that work in your usecase ?
https://stackoverflow.com/a/51415066/655855
answered Mar 18 at 9:44
Shamit VermaShamit Verma
90929
$endgroup$
add a comment |
$begingroup$
This answers suggests a wrapper function . Does that work in your usecase ?
https://stackoverflow.com/a/51415066/655855
answered Mar 18 at 9:44
Shamit VermaShamit Verma
90929
$endgroup$
This answers suggests a wrapper function . Does that work in your usecase ?
https://stackoverflow.com/a/51415066/655855
answered Mar 18 at 9:44
Shamit VermaShamit Verma
90929
answered Mar 18 at 9:44
Shamit VermaShamit Verma
90929
answered Mar 18 at 9:44
Shamit VermaShamit Verma
90929
answered Mar 18 at 9:44
Shamit VermaShamit Verma
90929
90929
add a comment |
add a comment |
Patrick Balada is a new contributor. Be nice, and check out our Code of Conduct.
Patrick Balada is a new contributor. Be nice, and check out our Code of Conduct.
Patrick Balada is a new contributor. Be nice, and check out our Code of Conduct.
Patrick Balada is a new contributor. Be nice, and check out our Code of Conduct.
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