Description

Add Azure notebook to our SETUP doc.
I tested google colab and Azure notebook to run reco-repo without requiring creating any DSVM or compute by myself, and it works really well with simple tweaks to the notebooks (e.g. for some libs, should install manually).

I think it would be good to add at least Azure notebook to our SETUP doc, where users can easily test out our repo w/o

For now only strings are accepted as the measures parameter in GridSearchCV, RandomizedSearchCV, and cross_validate. It's thus impossible to use those with measures that take specific parameters as input (e.g. #156 ), or to use custom measures.

We should then accept callables in addition to strings.

Each callable should only take the predictions parameter. In order to handle measur

There is already one optimisation PR for predict method: lyst/lightfm#105

But sometimes one probably can do it in a simpler way (just using numpy with BLAS):
https://github.com/inpefess/lightfm/blob/predict_comparison/examples/batch_predict/predicting_with_matrix_multiplication.ipynb

@maciejkula what do you think about adding another, say predict_numpy/predict_all me

After running pip install moviebox on a Mac with Python 2.7 I get the following error when trying to run it:

Traceback (most recent call last):
  File "/usr/local/bin/moviebox", line 7, in <module>
    from moviebox.cli import main
  File "/usr/local/lib/python2.7/site-packages/moviebox/cli.py", line 6, in <module>
    from .recommender import recommender
  File "/usr/local/lib/pyth

As described in the readme:

pip install requirements.txt
cd demo
python collaborative_filtering_v1.py 

It does not work, because:

1. pip install -r requirements.txt # do not forget "-r"
2. ModuleNotFoundError: No module named 'keras_recommender' # this module is located in the parent directory, not the demo directory.

• Maybe in INSTALL.txt
• If possible, better add or leave troubleshooting info to the error messages; don't duplicate
• see #25
• notes on performance and throttling

add new command for save :

1 .Name
2. Profile Photo
3. Bio

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