Expected behavior

A cancel button, or clicking on some thing in the left side bar (the word containers)

Actual behavior

You appear stuck until you find the magic behavior link

Information about the Issue

Steps to reproduce the behavior

1. ...
2. ...

The example about UnionToIntersection seems really specific and it doesn't quite make it clear how the resulting "Fn" will be used... Heck, even the source docs say "#darkmagic".

Could anyone please demystify it just a little? At least finish the example to show how Fn will be used, and when will it error.

This is not critical, but in keeping parity with requests I thought it would be worth mentioning.

If you pass in an integer or float argument as a parameter to send, the encode_with function fails (https://github.com/sigmavirus24/requests-toolbelt/blob/master/requests_toolbelt/multipart/encoder.py#L385) as it assumes that all input is either a string or None/bytes (in which cases it does not at

In the website tutorial at http://parnec.nuaa.edu.cn/huangsj/alipy/10_mins_to_alipy.html
there is no initial fit of the model and so I get an error when running the line:

select_ind = uncertainStrategy.select(label_ind, unlab_ind, model=model, batch_size=1)
NotFittedError: Call fit before prediction

It looks to me like you need to run

model.fit(X=X[label_ind.index, :], y=y[labe

Hi, I noticed that some lines in the example are different from example.py, and seem to call (presumably) deprecated functions.

Regarding from fairml import plot_generic_dependence_dictionary:
There is no plot_generic_dependence_dictionary. Importing plot_dependencies worked for me.

Also,
`fig = plot_dependencies(
total.get_compress_dictionary_into_key_median(),
reverse_val

Describe the bug:
The VisualProgressBar control does not draw using the ProgressBar color from the theme.

To Reproduce:
Steps to reproduce the behavior:

1. Run the VisualThemeBuilder.
2. Change the ProgressBar color to something obviously non-green.
3. Select, in sequence, from the controls dropdown the VisualGuage, VisualRadialProgress, and VisualProgressBar entries.
4. Observe t

Some images from online documentation are missing as shown here:

I tried to build the documentation locally but it didn't work. The build documentation is activated in cmake

  $ make doxygen
   make: *** No rule to make target 'doxygen'.  St

Expected Behavior

I have a folder of x-ray images, I want to easily load these and obtain the 3D reconstruction.

Actual Behavior

unsure where to start

Code to reproduce the problem (If applicable)

get some images, do nothing as there's no example or guide for using them

Specifications

• MATLAB version:
• OS:
• CUDA version:

According to the docs, filters are not implemented for FBP. However, TomoPy does not raise an error when you try to pass filter_name or filter_par with algorithm='fbp'. This would explain why, in my tests, choosing various filters for FBP did not change the reconstruction quality.

This definitely needs to be fixed