the documentation references kwargs -> any, but i can’t find the documentation where kwargs are listed and which apply to which function (if it varies). Can someone point me to the location in the documentation? Thanks a ton
kwargs is a python concept and I wouldn’t expect fast.ai doc to describe it
Yes kwargs are a python concept. fast.ai uses the concept in its functions to allow keyword arguments to be entered into the method call.
However, it is not clear which keywords which function accepts.
cnn_learner accepts the kwarg “model_dir” from the learner class.
The function predict also accepts kwargs, but probably not the same as cnn_learner. predict has no use or concept of a model_dir, which originates in the learner object that cnn_learner creates.
So my question still stands, where can i find the corresponding kwargs allowed in a specific function call? For example predict from the vision module.
Or is there a python generic way to identify these kwargs? Then that would obviously also answer the question. Your answer sadly does not
Did you check docs.fast.ai? There you can find examples and links to test scripts as further examples
Yes i have checked docs.fast.ai (I literally started this post with “the documentation[…]”.)
cnn_learner has no tests.
And the source code from the predict test case does not show me the kwargs i can use with it.
def test_models_meta(mnist_tiny, arch, zero_image): learn = cnn_learner(mnist_tiny, arch, metrics=[accuracy, error_rate]) this_tests(learn.predict) pred = learn.predict(zero_image) assert pred is not None
I have the same question. How do you make out which function accepts which all kwargs?
Any explanation? I went throu docs but kwargs not explained there for all functions.
For Eg, data.show_batch(). It accepts figsize as a keyword argument. But I am not able to find where is it documented.
some methods, like ImageDataBunch.from_folder actually have a reference. This is what i expected for all methods.
create_from_llto see all the
kwargs get passed down to the functions used by the function you’re calling. the
data.show_batch(), for example, will pass the
self.train_ds.x.show_xys() and its
show_xys() that can make use of
figsize. Sometimes the documentation mentions where the
kwargs will go. The
cnn_learner() documentation says, for example, that
kwargs are passed down to
Learner. I found it easier (and quite helpful anyway) to read the code to see where
kwargs go. Always learn something else along the way
I agree with OP - the documentation could be much clearer in letting us know what the valid kwarg options are. I’m finding this quite frustrating - appreciate some more helpful tips if anyone has any other tips