v2023.9.25

2023.9.25 - Added AggregateNetwork class, evenness/entropy calculations, and .mad for median absolute devation to Symmetry.

CHANGELOG.md

@@ -1,6 +1,8 @@
 
 
 #### Completed:
+
+* 2023.9.25 - Added `AggregateNetwork` class, `evenness/entropy` calculations, and `.mad` for median absolute devation to `Symmetry`.
 * 2023.9.5 - Changed `method="biweight_midcorrelation"` to `method="bicor"`.  Changed default method to `pearson` instead of `rho` to generalize (though, please use `rho`, `phi`, or `pcorr_bshrink` for compositional data).  Added `partial_correlation_with_basis_shrinkage` support from `comositional` package using `method="pcorr_bshrink"` to use similar terminology with `Propr` and `ppcorr` R packages.
 * 2023.8.15 - Added `ClusteredNetwork` for wrapper around `community_detection` and `edge_cluster_cooccurrence` (formerly known as `cluster_homogeneity`).
 * 2023.8.14 - Changed `dense` to `redundant` to be more consistent with `scikit-bio`.  Added `confidence_interval` to ensemble networks.  Changed default metrics to `np.median` and `stats.median_abs_deviation`.  Changed default `sampling_size` from `0.618...` to `1.0` and `with_replacement=False` to `with_replacement=True`.
@@ -18,4 +20,5 @@
 
 #### Pending:  
 * Move arguments in `.fit` to `__init__` to better reflect usage in `scikit-learn`.
-* Since iGraph is a dependency, just make code cleaner without the workarounds for not having it as a dependency
+* Since iGraph is a dependency, just make code cleaner without the workarounds for not having it as a dependency
+* Use `edge_weights_` and `node_weights_` in `Symmetric` objects like with `AggregateNetworks`? Are `Symmetric` objects immutable? Don't want node connectivity to be calclulated, the underlying network modified, and then will be inaccurate.

ensemble_networkx/__init__.py

@@ -3,7 +3,7 @@
 # =======
 # Version
 # =======
-__version__= "2023.9.5"
+__version__= "2023.9.25"
 __author__ = "Josh L. Espinoza"
 __email__ = "[email protected], [email protected]"
 __url__ = "https://github.com/jolespin/ensemble_networkx"
@@ -27,6 +27,8 @@
     "density",
     "centralization",
     "heterogeneity",
+    "entropy",
+    "evenness",
     "topological_overlap_measure",
     "community_detection",
     "edge_cluster_cooccurrence",
@@ -38,6 +40,7 @@
     'CategoricalEngineeredFeature',
     'Symmetric',
     "ClusteredNetwork",
+    "AggregateNetwork",
     # "Network",
     ]