What are all the valid strings I can use with keras.model.compile?

Question:

What strings are valid metrics with keras.model.compile?

The following works,

model.compile(optimizer='sgd', loss='mse', metrics=['acc'])

but this does not work,

model.compile(optimizer='sgd', loss='mse', metrics=['recall', 'precision'])

Asked By: John Henckel

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Answers:

See keras source code, the list of metrics is

accuracy
binary_accuracy
categorical_accuracy
sparse_categorical_accuracy
top_k_categorical_accuracy
sparse_top_k_categorical_accuracy
cosine_similarity
binary_crossentropy
categorical_crossentropy
categorical_hinge
hinge
squared_hinge
kullback_leibler_divergence
logcosh
mean_absolute_error
mean_absolute_percentage_error
mean_squared_error
mean_squared_logarithmic_error
poisson
sparse_categorical_crossentropy

Possible abbreviations:

acc = ACC = accuracy
bce = BCE = binary_crossentropy
mse = MSE = mean_squared_error
mae = MAE = mean_absolute_error
mape = MAPE = mean_absolute_percentage_error
msle = MSLE = mean_squared_logarithmic_error
log_cosh = logcosh
cosine_proximity = cosine_similarity

any others will need to be added as custom objects, see this link

Answered By: John Henckel

Check method to check metrices. Check docstring for details

Answered By: Abhishek