PCA-like GPFA interface (#287)

* Refactor GPFA codes in an object-oriented manner, similar to scikit-learn PCA * Simplify the input and output structure (from numpy.recarray to dict) * Add a test for cross-validation * Moved all GPFA-related files in gpfa folder * Added GPFA tutorial * added GPFA reference to doc/modules * Added tqdm progress bar Co-authored-by: Junji Ito <[email protected]> Co-authored-by: Danylo Ulianych <[email protected]>
NeuralEnsemble · Feb 5, 2020 · 596afc3 · 596afc3
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diff --git a/doc/modules.rst b/doc/modules.rst
@@ -10,6 +10,7 @@ Function Reference by Module
    reference/conversion
    reference/cubic
    reference/current_source_density
+   reference/gpfa
    reference/kernels
    reference/neo_tools
    reference/pandas_bridge

diff --git a/doc/reference/gpfa.rst b/doc/reference/gpfa.rst
@@ -2,5 +2,5 @@
 `GPFA` - Gaussian-process factor analysis
 =========================================
 
-.. automodule:: elephant.gpfa
+.. automodule:: elephant.gpfa.gpfa
    :members:
diff --git a/doc/tutorials/gpfa.ipynb b/doc/tutorials/gpfa.ipynb
diff --git a/elephant/__init__.py b/elephant/__init__.py
@@ -23,14 +23,17 @@
                conversion,
                neo_tools,
                cell_assembly_detection,
-               waveform_features)
+               spade,
+               waveform_features,
+               gpfa)
 
 try:
     from . import pandas_bridge
     from . import asset
     from . import spade
 except ImportError:
     # requirements-extras are missing
+    # please run command `pip install -r requirements-extras.txt`
     pass