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**System inf

Hi, is there any plan to provide a tutorial of showing an example of employing the Transformer as an alternative of RNN for seq2seq task such as machine translation?

In doc.pyx' s line 590:

 if not self.is_parsed:
            raise ValueError(Errors.E029)

I can still do a good job of chunking by tokenization and pos tagging only, without the full parse. Also in some languages parse isn't available. This will leave more flexibilities to users. I can comment out this in my copy of spacy, but when I update spacy to a new release, I have to chang

As part of the overall versioning + docs work we're doing for 0.8.0. This will avoid confusion like the one in #2916.

I did run following ones as the installation guide.

git clone https://github.com/lengstrom/fast-style-transfer.git
cd fast-style-transfer

pyenv local 2.7.9

pip2.7 install --upgrade pip
pip2.7 install virtualenv
python2.7 -m virtualenv dev
source dev/bin/activate

cat << 'EOT' > requirements.txt
tensorflow==0.11.0
Pillow==3.4.2
scipy==0.18.1
numpy==1.11.2
EOT

sudo apt

In the Ray Design Agents documentation the Ray Perception parameter Ray Layer Mask is not mentioned. I am a bit confused about what does it do and if it interacts with the Detectable Tags parameter.

![Screenshot from 2020-04-12 18-57-18](https://user-images.githubusercontent.com/3236037

it is really great code , only how to run it
MLAlgorithms/mla/fm.py
may you add example , as you did for other models?

Upon environment timeout python client will only receive the error message "Environment in wrong status for call to observations()". Might be good to provide more information why the environment is not running anymore (due to timeout etc.)

if (!is_running(self)) {
  PyErr_SetString(PyExc_RuntimeError,
  "Environment in wrong status for call to observations()");
  return NULL;
}

Sphinx (2.2.1 or master) produces the following two kinds of warnings in my environment.

duplicate object description

I think cross refs to such object is ambiguous.

autosummary: stub file not found

There are

• chainer.dataset.Converter base class and
• chainer.dataset.converter decorator.

Therefore the filesystem has to allow to store `chainer.dataset.Conver

Sample on front page:

const model = new KerasJS.Model({
  filepaths: {

filepaths in plural.
code for Model:

if (!filepath) {
      throw new Error('[Model] path to protobuf-serialized model definition file is missing.')
    }

I've noticed that there are a lot more tutorials/examples around VI
but less around sampling. I thought I might write up some of the sampling
examples as notebooks and add a sampling example for bayesian nets.

Is this something that would be helpful?

Python : 3.7.4
OS : Mac OSX 10.14.3
Bug : 'OSError' object has no attribute 'message' when using sample method
Solution : message is deprecated in latest Python version. One must use msg while catching such exceptions

When passing a two-dimensional input layer to LSTMLayer, it will break with an uninterpretable error message:

>>> lasagne.layers.LSTMLayer((10, 20), 30)
[...]
TypeError: 'numpy.float64' object cannot be interpreted as an index

The reason is that np.prod(()) returns 1.0 as a numpy.float64 instance when computing num_units: https://github.com/Lasagne/Lasagne/blob/master/lasagne

The README.md doesn't indicate how to contribute. I made a local branch to fix issue #34 but when I try to push the branch I get the following error, which indicates I don't have permission.

Please indicate in the README how to contribute.

Thanks.

I'm using latest pyod version on pypi. How to generate simulated data where x-axis is time? Thank you.