modified: estimators.py

	modified:   phenotyping.py

auton_survival/estimators.py

@@ -600,11 +600,11 @@ class SurvivalModel:
       A string that determines the choice of the surival analysis model.
       Survival model choices include:
 
-      - 'dsm' : Deep Survival Machines [3] model
-      - 'dcph' : Deep Cox Proportional Hazards [2] model
-      - 'dcm' : Deep Cox Mixtures [4] model
-      - 'rsf' : Random Survival Forests [1] model
-      - 'cph' : Cox Proportional Hazards [2] model
+      - `dsm` : Deep Survival Machines [3] model
+      - `dcph` : Deep Cox Proportional Hazards [2] model
+      - `dcm` : Deep Cox Mixtures [4] model
+      - `rsf` : Random Survival Forests [1] model
+      - `cph` : Cox Proportional Hazards [2] model
 
   random_seed: int
       Controls the reproducibility of called functions.

auton_survival/phenotyping.py

@@ -221,17 +221,17 @@ class ClusteringPhenotyper(Phenotyper):
       The clustering method applied for phenotyping.
       Options include:
 
-      - 'kmeans': K-Means Clustering
-      - 'dbscan': Density-Based Spatial Clustering of Applications with Noise (DBSCAN)
-      - 'gmm': Gaussian Mixture
-      - 'hierarchical': Agglomerative Clustering
+      - `kmeans`: K-Means Clustering
+      - `dbscan`: Density-Based Spatial Clustering of Applications with Noise (DBSCAN)
+      - `gmm`: Gaussian Mixture
+      - `hierarchical`: Agglomerative Clustering
   dim_red_method: str, default=None
       The dimensionality reductions method applied.
       Options include:
 
-      - 'pca' : Principal Component Analysis
-      - 'kpca' : Kernel Principal Component Analysis
-      - 'nnmf' : Non-Negative Matrix Factorization
+      - `pca` : Principal Component Analysis
+      - `kpca` : Kernel Principal Component Analysis
+      - `nnmf` : Non-Negative Matrix Factorization
       - None : dimensionality reduction is not applied.
   random_seed : int, default=0
       Controls the randomness and reproducibility of called functions
@@ -435,7 +435,7 @@ def __init__(self,
 
     self.cf_method = cf_method
     self.phenotyping_method = phenotyping_method
-    
+
     if cf_method_hyperparams is None:
       cf_method_hyperparams = {}
     if phenotyper_hyperparams is None: