V0.3.11

[PAUL-BERNARD]

Major changes

• Fixed numpy.memmap concurrent accesses. Which fixes many issues with parallelization. The memmap name is now unique for each buffer.
  Fixes Mmap error with local parallelization with optuna from the tutorial #141, fixes reservoirpy.Model().fit() doesn't support ProcessPoolExecutor #112, fixes Is it possible to run Ridge() without memmap? #57
• Sparse matrix initializers in mat_gen can now take a degree argument instead of connectivity.
• Delay node, which returns its input with a specified delay.
• Complete reimplementation of the ScikitLearnNode introduced in ReservoirPy v0.3.10. This has breaking changes, as the previous implementation was not consistent with the library node API. The tutorial has subsequently been updated.
• Dropped support for Python 3.6. Python 3.7 should still work though it reached end-of-life.

Minor changes

• dataset.narma now takes a u parameter so that the input timeseries can be accessed. Fixes datasets.narma doesn't return input series #142
• Fix : The ESN node now has consistent results across backends
• Creating a Reservoir node with incorrect argument now raises a ValueError. Fixes No warning is triggered when non-existing variable name is used #138
• Fix: the default Node.partial_backward method of offline nodes didn't concatenate output timeseries correctly.
• Many small corrections in documentation. In particular:
  • Fix Potential Error in Documentation #134
  • Fix Having issue making custom node. #111
  • Added documentation for the Concat node

[codecov]

Codecov Report

Attention: 2 lines in your changes are missing coverage. Please review.

Comparison is base (1ee6982) 89.37% compared to head (04c8c66) 91.76%.
Report is 2 commits behind head on master.

Files	Patch %	Lines
reservoirpy/datasets/_chaos.py	80.00%	0 Missing and 1 partial ⚠️
reservoirpy/node.py	66.66%	1 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##           master     #144      +/-   ##
==========================================
+ Coverage   89.37%   91.76%   +2.39%     
==========================================
  Files          38       38              
  Lines        2918     2891      -27     
  Branches      645      736      +91     
==========================================
+ Hits         2608     2653      +45     
+ Misses        187      130      -57     
+ Partials      123      108      -15     

Flag	Coverage Δ
unittests	91.52% <97.70%> (+2.35%)	⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.