Add a new API for converting a model to external data. Today the conversion happens in 2 steps
external_data_helper.convert_model_to_external_data(<model>, <all_tensors_to_one_file>, <size_threshold>) save_model(model, output_path)
We want to add another api which combines the 2 steps
`
save_model_to_external_data(, <output_

I just ran into an issue when trying to use to_csv with distributed workers that don't share a file system. I shouldn't have been surprised that writing to a local file system from a distributed worker doesn't work. It shouldn't work. But the error I got was just a File Not Found error. That brought me to:dask/dask#2656 (comment) - which was the answer.

Bug/Feature Request Description

In [1]: import featuretools as ft                                                                                                                             

In [2]: es = ft.demo.load_mock_customer(return_entityset=True)                                                                                                

In [3]: import pandas as pd    

The problem I want to use auto-sklearn on is a time-series. Can we modify sklearn to include cv with time series?

Describe the bug
when axis has duplicate value , onnxruntime compute result is all same value ,which is different with expect of tensorflow

Urgency
2020.11.18

System information
Linux Ubuntu 16.04

• ONNX Runtime installed from binary
• ONNX Runtime version:1.4.0
• Python version:3.5

Expected behavior
When there are duplicate values, the duplicate can be removed. j

Currently, we don't store the learning rate but it is now being exposed in PyTorch (we may need to check the versions though).

Reported by @jiajiexiao here.

Is your feature request related to a problem? Please describe.
The TimeSeriesForestCLassifier computes the importance curve for each of the extracted features in each time index. However, as the authors point out "different time indices are associated with different numbers of intervals", and, in particular, "the indices in the middle have more intervals than the indices on the edges of the t

Yes

How do i resume training for text classification?

https://igel.readthedocs.io/en/latest/_sources/readme.rst.txt includes a link to the assets/igel-help.gif, but that path is broken on readthedocs.

readme.rst is included as ../readme.rst in the sphinx build.
The gifs are in asses/igel-help.gif

The sphinx build needs to point to the asset directory, absolutely:

.. image:: /assets/igel-help.gif

I haven't made a patch, because I haven't

In issue #422/#423, users brought up that it's not clear from the error messages that you must fit before convert for most models.

We suspect that with KNN we could maybe also work if the model is not trained, but in general (e.g., with RandomForests) this won't work.

We need help documenting this, and also generating proper error messages. (You can see an example of an unhelpful error mess