Data Science

Describe the issue linked to the documentation

Many legitimate notebook style examples have been broken, and specifically by the following PR
scikit-learn/scikit-learn#9061

Here are all the examples that use patterns like # ####### (found by ag -l '# #####*\s#' examples | sort, note there may be false positives ... for example examples/impute/plot_missing_val

The Mixed Time-Series chart type allows for configuring the title of the primary and the secondary y-axis.
However, while only the title of the primary axis is shown next to the axis, the title of the secondary one is placed at the upper end of the axis where it gets hidden by bar values and zoom controls.

How to reproduce the bug

1. Create a mixed time-series chart
2. Configure axi

Problem: If I don't have the necessary backend (e.g. torch) installed, a generic ModuleNotFoundError will be raised.

Reproduction:

>>> from ray.train import Trainer
>>> trainer = Trainer(backend="torch", num_workers=1)
2022-02-13 21:31:08,345	INFO services.py:1414 -- View the Ray dashboard at http://127.0.0.1:8265
2022-02-13 21:31:10,396	INFO trainer.py:199 -- Trainer

Summary

Aesthetically trivial, yet I've spotted a discrepancy with font sizes in our tooltip (front-end + back-end screenshots below).
I believe sections #1 and #2 should have the same font size?

![image](https://user-images.githubusercontent.com/27242399/139825179-4d62e3

All the docs still say:

Trainer(gpus=...)

But we now support a different syntax:

Trainer(devices=4, accelerator='gpu')

Although we have backward support, all the docs (including readme) needs to reflect the new way of doing it

cc @Borda @rohitgr7 @akihironitta @ananthsub @carmocca @Borda

Describe your context
Please provide us your environment, so we can easily reproduce the issue.

• replace the result of pip list | grep dash below

dash                      2.0.0
dash-bootstrap-components 1.0.0

• if frontend related, tell us your Browser, Version and OS

  • OS: [e.g. iOS] Windows
  • Browser [e.g. chrome, safari]: Chrome 96.0x, Edge 96.0x, Firefox

Python 3.10 added suggestions for AttributeError and NameError in the error messages. It seems the suggestions are not stored in the exception object but calculated when Error is displayed. There is a note that that this won't work with IPython but it will be good to see if it's feasible. Opening an issue for discussion.

https://bugs.python.org/issue38530
https://docs.python.org/3/whatsnew/3.

It was decided in the dev call today that we want to deprecate arrow() because of its awkward dependence on the axis scales. ...

As an alternative, we want to introduce a similar replacement vector(x, y, dx, dy, ...) where the parameters are still in data space, but the arrow shape is not tied to the data. This should be implemented based on FancyArrowPatch which is also the basis for `an

In gensim/models/fasttext.py:

    model = FastText(
        vector_size=m.dim,
        vector_size=m.dim,
        window=m.ws,
        window=m.ws,
        epochs=m.epoch,
        epochs=m.epoch,
        negative=m.neg,
        negative=m.neg,
        # FIXME: these next 2 lines read in unsupported FB FT modes (loss=3 softmax or loss=4 onevsall,
        # or model=3 supervi

Although the results look nice and ideal in all TensorFlow plots and are consistent across all frameworks, there is a small difference (more of a consistency issue). The result training loss/accuracy plots look like they are sampling on a lesser number of points. It looks more straight and smooth and less wiggly as compared to PyTorch or MXNet.

It can be clearly seen in chapter 6([CNN Lenet](ht

Is your feature request related to a problem? Please describe.
I typically used compressed datasets (e.g. gzipped) to save disk space. This works fine with AllenNLP during training because I can write my dataset reader to load the compressed data. However, the predict command opens the file and reads lines for the Predictor. This fails when it tries to load data from my compressed files.