I am very new to ta-lib.

Here is a very stupid question about the documentation. Can anyone direct me where exactly is the detailed documentation? For example, the following shows BBANDS has MA_Type.T3, which means BollingerBands will use EMA instead of SMA. But I can't find the description about BBANDS and MA_Type anywhere.....

upper, middle, lower = talib.BBANDS(close, matype

Can you describe what modifications need to be done if I want to replace dynamic_rnn with tf.keras.RNN in many-to-one example as dynamic_rnn is deprecated now.

If assumption that newer node.js versions are better and we can use them, maybe we can use the best possible in Docker?

I can't understand what I am doing wrong here, but looks like I need to put something between 0 and 1 here. Can we make a error message for wrong values?

This issue #466 has introduced a refactoring of the documentation. This work has been merged into the develop branch with the PR #471. But between the time where this PR has been merged and now, some documentation sources (developer, components...others ?) have disappeared (when and where?).

These sources are used for generating the documentation site https://logisland.readthedocs.io. One can s

not just compare different feature sets with a fixed builtin model, but users can also input a model of their own choice. it does not limit exploration of new models or pipelines - they can use implementation of best practices while evaluating the such new models on features of their choice

Shouldn't (height, width) in In def comp_pixel(frame, p__): be (width, height)?

dert__ = np.empty(shape=(width, height, 4), dtype=int) # initialize dert__

The order of dimension declaration in numpy arrays?

According to the code in the initialization:

height, width = image.shape

And to code tests like this::

 w = 4; h = 2
>>> k = np.zeros(shape=(w,h,1), dtype