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System information

• TensorFlow version: 1.13.1
• Doc Link: https://www.tensorflow.org/api_docs/python/tf/cus

As discussed in #3926, the following files do not have .py extensions because TensorFlow does not yet support the current Python.

• dynamic_programming/k_means_clustering_tensorflow.py_tf
• machine_learning/lstm/lstm_prediction.py_tf
• neural_network/gan.py_tf
• neural_network/input_data.py_tf

TODO: Restore the .py file extensions

(e.g. for links and images), because some of these examples are now being rendered in the docs.

Added by @fchollet in requests for contributions.

See https://pytorch.org/docs/master/generated/torch.matrix_exp.html?highlight=matrix_exp#torch.matrix_exp.

It would also be nice if the mathematical expression related to the signature.

cc @brianjo @mruberry

It appears that the docs for Logistic Regression differ based on solvers and penalties. The "penalty" parameter states that "The ‘newton-cg’, ‘sag’ and ‘lbfgs’ solvers support only l2 penalties," while the "solver" parameter states that "‘newton-cg’, ‘lbfgs’, ‘sag’ and ‘saga’ handle L2 or no penalty" (attaching some screenshots). This was actually a little unclear to me, as I wasn't sure if the n

@apalala reported this issue when a site sends some invalid images, and suggested a fix for the spider middleware:

        image_stream = self.get_images(response, request, info, item=item)
        while True:
            try:
                path, image, buf = next(image_stream)
            except StopIteration:
                break
            except Exception:
                co

If a metric is removed from a datasource the single metric widget is inoperable if saved slice or URL references the previously defined metric. Note this isn't a problem for visualization types which support multiple metrics.

Expected results

The metric widget to render correctly.

Actual results

The metric widget in inoperable (see attached screenshot).

Screenshots

<

Hello everyone, I will explain the current status of manim in this issue.

Now there are three main manim versions, and their differences:

1. The master branch of 3b1b/manim: Rendering on GPU using OpenGL and moderngl. Support interaction and have higher efficiency.
2. ManimCommunity/manim: (@ManimCommunity

First check

• I added a very descriptive title to this issue.
• I used the GitHub search to find a similar issue and didn't find it.
• I searched the FastAPI documentation, with the integrated search.
• I already searched in Google "How to X in FastAPI" and didn't find any information.
• I already read and followed all the tutorial in the docs and didn't find an answ

https://github.com/pandas-dev/pandas/blob/094f630cd84365b1902b4ee8d3de6a72d1bcbca3/pandas/core/generic.py#L7449-L7458

Return type should be Optional[FrameOrSeriesUnion]

It could also do with being overloaded according to the value of inplace - see set_axis and DataFrame.reset_index for examples