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ychong commented Feb 8, 2018

Hi I would like to propose a better implementation for 'test_indices':

We can remove the unneeded np.array casting:

test_indices = list(set(range(len(texts))) - set(train_indices))

test_indices = np.array(list(set(range(len(texts))) - set(train_indices)))

BlackTentacle commented Oct 26, 2018

I tried some RNN regression learning based on the code in the "PyTorch-Tutorial/tutorial-contents/" file, which did not work for me at all.

According to an accepted answer on stack-overflow (, it turns out that the li

janezd commented Jan 9, 2020

Many widgets disable check boxes when they are not applicable. For instance, if "Split by" in Distribution is set to None, check boxes Stack columns and Show probabilities are disabled. However, if they are checked they remain checked (so that they are checked when they are re-enabled). The widget itself ignored the state, but the information that the user sees is wrong.

andrewimcclement commented Jun 6, 2019

Brent.TryFindRoot and Bisection.TryFindRoot both allow a caller to pass in a negative value for the accuracy (arguably 0 could also be problematic, but should probably be permissible). However, the implementation of each means that it never considers itself to be within the requested accuracy, therefore always returns false.

Given that an accuracy is an absolute value, ideally the caller is eit

gonzalovodanovic commented Sep 8, 2018

When use full YOLO for detecting small object (20x20 pix) in big images (1024x2048 pix), I get low mAP (61%). Not sure if there is any configuration i can use to improve this number.
Should i change the input size? and what about this other options?:

    "object_scale":         5.0 ,
    "no_object_scale":      1.0,
    "coord_scale":          1.0,
Beakerboy commented Apr 10, 2019

The ObjectMatrix is a matrix made up of objects which implement the ObjectArithmetic interface. The Matrix class itself has add(), subtract() and multiply() functions, so it implements these functions. In theory, we should be able to add implements ObjectArithmetic to the Matrix class, create an ObjectMatrix of a few distinct matrices and verify that the BlockMatrix axioms function as expected.

HerrMo commented Mar 8, 2019


in the docu of getTaskData it says under "For survival, you may choose to recode the survival times to 'left', 'right' or 'interval2' censored times using 'lcens', 'rcens' or 'icens', respectively."
This is not consistent with the implementation. If one of these options is chosen, = "rcens", an error occurs. Instead, recode.traget = "surv" works. See

tlienart commented Oct 21, 2019

In learning_curve! (but not only there) you can specify a measure which, by default, is set to rms; however if you leave it to default and try to do this on a classifier you'll get an error.

It would be easy to change so that it takes a reasonable default measure for the type of model something like

function learning_curve!(mach::Machine{<:Supervised};
IsaacSamuel commented Dec 21, 2019

In .gitignore, we are ignoring the following datasets:


Presumably, this is a size restraint--we don't want users to have to download tons of example data they'll never use, if avoidable.

knome commented Jan 9, 2017

All functions, macros and datatypes defined by cranium should have a prefix associated with them to avoid having cranium and another library's defined functions conflict during compilation.

For example, you defined MAX in FUNCTION_H, which may conflict with a differently defined MAX from another projects headers. Instead CRANIUM_MAX(...) should be used. You may want to do this with your templat

dartdog commented Jun 18, 2017

I think you need a few more ready to go and enriched examples preferably notebooks that can be run directly in a working directory. As currently set up the rather skinny examples cannot be run directly in place that is if I clone a copy of the repo and start up a one of the notebook examples... Also they seem pretty incomplete vs the full capabilities?.. I'm referring specifically to the two tradi

pdeffebach commented Dec 31, 2019

As mentioned in #341 , wts is a bit esoteric and unclear. Better to use weights as the name of the keyword argument for weights.

Let me know your thoughts on changing the name of keyword argument or if I should change the name of the field in GlmResp, LmResp etc. as well.

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