refixed in b init group-wise means

davidsebfischer · davidsebfischer · commit 360adcde609a · 2018-11-23T15:13:39.000+01:00
this got lost in latest merge of Florian's initialisation clean up. groupwise means can only be carried over from a init if loc and scale model are the same. I annotated this in the code, right now it is always recomputed.
diff --git a/batchglm/train/tf/nb_glm/estimator.py b/batchglm/train/tf/nb_glm/estimator.py
@@ -810,7 +810,7 @@ def __init__(
                             design_scale=input_data.design_scale,
                             constraints=input_data.constraints_scale,
                             size_factors=size_factors_init,
-                            groupwise_means=groupwise_means,
+                            groupwise_means=None,  # Could only use groupwise_means from a init if design_loc and design_scale were the same.
                             link_fn=lambda r: np.log(np_clip_param(r, "r"))
                         )
 

Original file line number	Diff line number	Diff line change
`@@ -810,7 +810,7 @@ def __init__(`
`810`	`810`	`design_scale=input_data.design_scale,`
`811`	`811`	`constraints=input_data.constraints_scale,`
`812`	`812`	`size_factors=size_factors_init,`
`813`		`- groupwise_means=groupwise_means,`
	`813`	`+ groupwise_means=None, # Could only use groupwise_means from a init if design_loc and design_scale were the same.`
`814`	`814`	`link_fn=lambda r: np.log(np_clip_param(r, "r"))`
`815`	`815`	`)`
`816`	`816`