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Update Model_Understanding documentation for plotly use on Jupyter Lab #1108

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merged 27 commits into from
Sep 3, 2020

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bchen1116
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Fix #1040

Plots doesn't show up on Jupyter Lab

Fixed the documentation for this to let users know the necessary installations for Jupyter Lab to work with plotly.

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codecov bot commented Aug 26, 2020

Codecov Report

Merging #1108 into main will decrease coverage by 0.00%.
The diff coverage is 99.02%.

Impacted file tree graph

@@            Coverage Diff             @@
##             main    #1108      +/-   ##
==========================================
- Coverage   99.91%   99.91%   -0.01%     
==========================================
  Files         195      195              
  Lines       11159    11257      +98     
==========================================
+ Hits        11150    11247      +97     
- Misses          9       10       +1     
Impacted Files Coverage Δ
evalml/utils/gen_utils.py 98.91% <92.85%> (-1.09%) ⬇️
evalml/model_understanding/graphs.py 100.00% <100.00%> (ø)
evalml/pipelines/pipeline_base.py 100.00% <100.00%> (ø)
...lml/tests/model_understanding_tests/test_graphs.py 100.00% <100.00%> (ø)
evalml/tests/pipeline_tests/test_graphs.py 100.00% <100.00%> (ø)
evalml/tests/utils_tests/test_gen_utils.py 100.00% <100.00%> (ø)
evalml/utils/__init__.py 100.00% <100.00%> (ø)

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@bchen1116 bchen1116 self-assigned this Aug 27, 2020
@bchen1116 bchen1116 marked this pull request as ready for review August 27, 2020 16:40
@@ -105,6 +105,7 @@ def graph_precision_recall_curve(y_true, y_pred_proba, title_addition=None):
plotly.Figure representing the precision-recall plot generated
"""
_go = import_or_raise("plotly.graph_objects", error_msg="Cannot find dependency plotly.graph_objects")
import_or_raise("ipywidgets", error_msg="Cannot find dependency ipywidgets")
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@jeremyliweishih jeremyliweishih Aug 28, 2020

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This might limit the use of our graphs for only notebook environments - not too sure if this is an issue but I can see use cases where we need to return the ploty figures and display them in a web environment. I think maybe the doc edit is good enough for users that want to use our graphs in a notebook environment.

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Ah great point. Thanks @jeremyliweishih, I'll update this.

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Maybe we can try to use get_ipython like we do in AutoMLSearch to decide whether or not to surface this error? Maybe we also don't need to raise, we can just issue a warning about possible missing dependencies? @jeff-hernandez was not seeing any plots show up in Jupyter Lab and it's really confusing when it happens (See this PR).

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My current implementation uses a jupyter_check function that does a try-except with get_ipython, which would return True if the call succeeds, or if it throws an exception, False. Unfortunately, I'm not able to test whether this call works through unittests since I cannot patch get_ipython -- I get the following error: ModuleNotFoundError: No module named 'Ipython'. Because of this, I can't test whether or not ipywidgets is installed or not properly, since I only make this call if jupyter_check returns True.

@freddyaboulton suggested that we could get coverage for this if we add ipython to test-requirements.txt, but we weren't sure if this is the best course of action.

@bchen1116 bchen1116 changed the title Fix Plotly Error for JupyterLab Update Model_Understanding documentation for plotly use on Jupyter Lab Aug 28, 2020
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@bchen1116 I think this is almost ready for merge! I have a couple of suggestions for how to increase test coverage.

evalml/tests/pipeline_tests/test_graphs.py Show resolved Hide resolved
evalml/pipelines/pipeline_base.py Outdated Show resolved Hide resolved
evalml/tests/pipeline_tests/test_graphs.py Show resolved Hide resolved
evalml/tests/utils_tests/test_gen_utils.py Show resolved Hide resolved
"""
try:
get_ipython()
return True
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I think we can get to a point where this is the only line that's not covered by unit tests.

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@bchen1116 This looks good to merge! The only thing I can suggest is to remove the category=ImportWarning so that the warning is displayed to the user.

For those following, I think it's ok to merge this PR without passing the codecov check because only one line is not covered and we can cover it if we add IPython as a test requirement (so that we can mock the get_ipython function) but I'm not sure if we need to add such a big dependency.

I verified this works as expected in Jupyter Lab (once we remove the warning category)!

image

evalml/utils/gen_utils.py Outdated Show resolved Hide resolved
@freddyaboulton freddyaboulton merged commit ccdae9c into main Sep 3, 2020
@bchen1116 bchen1116 deleted the bc_1040_graph branch September 10, 2020 16:27
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evalml plots don't show up in Jupyter Lab
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