Merge pull request #840 from vnickolov/hdbscan-mutate+write

Add HDBScan mutate and write

Author: vnickolov

doc/sphinx/algorithms.json

@@ -1774,6 +1774,22 @@
     },
     "description": "Constructs a random subgraph based on random walks with restarts."
   },
+  {
+    "function": {
+      "name": "gds.hdbscan.mutate",
+      "signature": "G: Graph, **config: Any",
+      "return_type": "Series[Any]"
+    },
+    "description": "Hierarchical Density-Based Spatial Clustering of Applications with Noise"
+  },
+  {
+    "function": {
+      "name": "gds.hdbscan.mutate.estimate",
+      "signature": "G: Graph, **config: Any",
+      "return_type": "Series[Any]"
+    },
+    "description": "Returns an estimation of the memory consumption for that procedure."
+  },
   {
     "function": {
       "name": "gds.hdbscan.stats",
@@ -1806,6 +1822,22 @@
     },
     "description": "Returns an estimation of the memory consumption for that procedure."
   },
+  {
+    "function": {
+      "name": "gds.hdbscan.write",
+      "signature": "G: Graph, **config: Any",
+      "return_type": "Series[Any]"
+    },
+    "description": "Hierarchical Density-Based Spatial Clustering of Applications with Noise"
+  },
+  {
+    "function": {
+      "name": "gds.hdbscan.write.estimate",
+      "signature": "G: Graph, **config: Any",
+      "return_type": "Series[Any]"
+    },
+    "description": "Returns an estimation of the memory consumption for that procedure."
+  },
   {
     "function": {
       "name": "gds.hits.mutate",

doc/sphinx/source/algorithms.rst

@@ -1004,6 +1004,14 @@ These all assume that an object of :class:`.GraphDataScience` is available as `g
 
     Constructs a random subgraph based on random walks with restarts.
 
+.. py:function:: gds.hdbscan.mutate(G: Graph, **config: Any) -> Series[Any]
+
+    Hierarchical Density-Based Spatial Clustering of Applications with Noise
+
+.. py:function:: gds.hdbscan.mutate.estimate(G: Graph, **config: Any) -> Series[Any]
+
+    Returns an estimation of the memory consumption for that procedure.
+
 .. py:function:: gds.hdbscan.stats(G: Graph, **config: Any) -> Series[Any]
 
     Hierarchical Density-Based Spatial Clustering of Applications with Noise
@@ -1020,6 +1028,14 @@ These all assume that an object of :class:`.GraphDataScience` is available as `g
 
     Returns an estimation of the memory consumption for that procedure.
 
+.. py:function:: gds.hdbscan.write(G: Graph, **config: Any) -> Series[Any]
+
+    Hierarchical Density-Based Spatial Clustering of Applications with Noise
+
+.. py:function:: gds.hdbscan.write.estimate(G: Graph, **config: Any) -> Series[Any]
+
+    Returns an estimation of the memory consumption for that procedure.
+
 .. py:function:: gds.hits.mutate(G: Graph, **config: Any) -> Series[Any]
 
     Hyperlink-Induced Topic Search (HITS) is a link analysis algorithm that rates nodes.