Fixed bug and added logo

bridgescaler/distributed.py

@@ -390,10 +390,12 @@ def inv_transform_variable(td_obj, xv,
     td_centroids = td_obj.centroids()
     x_transformed = np.zeros_like(xv)
     if distribution == "normal":
-        x_transformed = ndtr(xv)
+        x_intermediate = ndtr(xv)
     elif distribution == "logistic":
-        x_transformed = logistic.cdf(xv)
-    tdigest_quantile(xv, td_centroids["mean"], td_centroids["weight"],
+        x_intermediate = logistic.cdf(xv)
+    else:
+        x_intermediate = xv
+    tdigest_quantile(x_intermediate, td_centroids["mean"], td_centroids["weight"],
                                 td_obj.min(), td_obj.max(), x_transformed)
     return x_transformed
 
@@ -503,6 +505,8 @@ class DQuantileScaler(DBaseScaler):
     datasets in parallel. The library can perform fitting, transforms, and inverse transforms across variables
     in parallel using the multiprocessing library. Multidimensional arrays are stored in shared memory across
     processes to minimize inter-process communication.
+    
+    DQuantileScaler supports 
 
     Attributes:
         compression: Recommended number of centroids to use.
@@ -637,7 +641,7 @@ def inverse_transform(self, x, channels_last=None, pool=None):
                     del outputs[:]
             else:
                 for td_obj in td_i_objs:
-                    x_transformed[..., td_obj[0]] = inv_trans_var_func(td_obj[1], xv[:, td_obj[0]])
+                    x_transformed[..., td_obj[0]] = inv_trans_var_func(td_obj[1], xv[..., td_obj[0]])
         else:
             if pool is not None:
                 split_indices = np.round(np.linspace(0, xv[..., 0].size, pool._processes)).astype(int)

doc/source/conf.py

@@ -7,9 +7,9 @@
 # https://www.sphinx-doc.org/en/master/usage/configuration.html#project-information
 
 project = 'bridgescaler'
-copyright = '2024, David John Gagne'
+copyright = '2024, University Corporation for Atmopsheric Research'
 author = 'David John Gagne'
-release = '0.7.0'
+release = '0.8.0'
 
 # -- General configuration ---------------------------------------------------
 # https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration
@@ -26,3 +26,4 @@
 
 html_theme = 'sphinx_book_theme'
 html_static_path = ['_static']
+html_logo = "_static/bridgescaler_logo.png"

doc/source/index.rst

@@ -12,7 +12,6 @@ distributed scaling of data for pre-processing of AI and ML models.
    :maxdepth: 2
    :caption: Contents:
 
-   index.rst
    gettingstarted.rst
    usage.rst
    distributed.rst