production-phase.md

@@ -263,8 +263,7 @@ Below I sequentially list the steps of the pipeline. This is a linear and qualit
  * Here again, t-SNE has no out-of-sample method, so we need to learn a mapping between signatures type 1 and the 2D projections.
  * I suggest using AdaNet in this case, too.
  * Save the models for persistency.
-
-    Once reference calculations are done, we can move to the full dataset.
+ * Once reference calculations are done, we can move to the full dataset.
 15. Predict signatures type 1.
  * If the molecule is in reference (or is a near-duplicate of it), take signature.
  * Else, use the persistent model to predict.
@@ -288,8 +287,7 @@ Below I sequentially list the steps of the pipeline. This is a linear and qualit
  * Do 1-to-many or predict, as necessary.
  * Keep the `proj1.h5` file under `./full`.
  * Do the validation plots.
-
-    Points 1-19 are applicable to any dataset. Comparison of CC datasets is, **for now**, only among *exemplary* ones. From here on, we only perform the calculations on these 25 exemplary datasets.
+ * Points 1-19 are applicable to any dataset. Comparison of CC datasets is, **for now**, only among *exemplary* ones. From here on, we only perform the calculations on these 25 exemplary datasets.
 20. Link exemplary to full datasets
  * In the `./exemplary`, keep the corresponding signature files available from `./full`.
  * It is not necessary that signature files are copied, they can just be *linked* with a pointer.