SAP Business Data Cloud (BDC) comes with predefined content as you may know. SAP Data Products constitute a large part of that content. This technical article describes how to make an SAP managed Data Product the input dataset of an APL function. The...
As the adoption of UUIDs (Universally Unique Identifier) and GUIDs (Globally Unique Identifier) becomes prevalent, APL (Automated Predictive Library) users may face the case where their training dataset contains such IDs. These unique identifiers act...
In HANA ML 2.20, APL introduces a new tab “Local Explanations” in the time series HTML report. This new tab includes a waterfall chart showing how each component of the time series model contributed to individual forecasts. Thanks to this visualizati...
We already covered SHAP-explained models for classification and regression scenarios in a previous APL blog post, and at the time we talked briefly about the main effect of a predictor and its interaction effect with the other predictors of the model...
After completing the first part of the blog you should have a hold-out dataset in HANA dedicated to test, for both the Census case, and the California Housing case. In this second part we will build an APL model and a non-APL model on the same traini...
Here is the code to prepare the tables:create view SERIES_IN as select * from APL_SAMPLES.OZONE_RATE_LA order by "Date" asc;
create table SERIES_OUT (
"Date" DAYDATE,
"OzoneRateLA" DOUBLE,
"kts_1" DOUBLE,
"kts_1_lowerlimit_95%" DOUBLE,
"kts_...
Hi Dirk,Here is an example of anonymous block running APL forecast without Declare.DO BEGIN
header = select * from #HEADER_APL;
config = select * from #CONFIG_APL;
var_desc = select * from #DESCCRIPTION_APL;
var_...
Hello,The option "Decision Tree" is a post-modeling capability to present the trained model in a visual way.SAP Predictive Analytics 3.x always uses the Ridge Regression technique regarless of the "Decision Tree" check box that is actually not a mode...
Hi Farooq,
Correct, both uplift curves give the same AUC value of 0.03.
Using a different metric, QINI AUC, we get a value of 0.07 for the S-Learner model, and a value of 0.06 (slightly smaller) for the Y star model. I am not sure though if such di...