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automl

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barakmich
barakmich commented Dec 11, 2020

Currently, most of the linters we run on CI are controlled by command line arguments in https://github.com/ray-project/ray/blob/master/ci/travis/format.sh

Python supports things like setup.cfg or tox.ini as a general config file for its many linters. It'd be nice to use them.

#12800 is a band-aid that fixes it, partially, for flake8 specifically, but is generally the right idea. It'd b

nni
autokeras
gabrieldemarmiesse
gabrieldemarmiesse commented Jan 20, 2020

Adding types on the public API surface would allow us to do some runtime type checking later on and would allow user's IDE to have more info for static analysis.

The functions/signatures to type are the ones listed here https://github.com/keras-team/autokeras/blob/master/autokeras/__init__.py

For the context, see #856 where I add some type information on a ImageClassifier.

This issue can

featuretools
CJStadler
CJStadler commented Jul 23, 2019

For example, if there is a relationship transaction.session_id -> sessions.id and we are calculating a feature transactions: sessions.SUM(transactions.value) any rows for which there is no corresponding session should be given the default value of 0 instead of NaN.

Of course this should not normally occur, but when it does it seems more reasonable to use the default_value.

`DirectF

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

  • Updated Dec 20, 2020
  • Jupyter Notebook
jankrynauw
jankrynauw commented Jun 6, 2019

We would like to forward a particular 'key' column which is part of the features to appear alongside the predictions - this is to be able to identify to which set of features a particular prediction belongs to. Here is an example of predictions output using the tensorflow.contrib.estimator.multi_class_head:

{"classes": ["0", "1", "2", "3", "4", "5", "6", "7", "8", "9"],
 "scores": [0.068196
igel
evelynmitchell
evelynmitchell commented Oct 9, 2020

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

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