EDOBE XDOM PMML Instrukcja Obsługi Strona 21

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Known Issues in Release 2.0
Reference Topic/Area Issue Description / Workaround
EXT-2209
and
EXT-2101
Metadata
Management
nzconvertsyscase does not work in conjunction with Netezza An-
alytics.
Conversion of the system case from uppercase to lowercase or
vice versa using the command "nzconvertsyscase" does not con-
vert the metadata management tables. Before you run this com-
mand, you must (for all databases) drop all analytics models and
use the nza..cleanup() procedure to remove the metadata.
After you run the command, you must re-register the Netezza
Analytics component analytics_utils:
nzcm -fr analytics_utils
EXT-2209
and
SWS-72806
and
SWS-74893
Metadata
Management
There are two issues related to backup/restore operations with
regard to Metadata Management.
1. When you backup a database that contains Netezza Analyt-
ics models and restore it on ANOTHER Netezza system, the
table/view references in the metadata tables could be incor-
rect. If you need to do so, the administrator should set the
object ids used in the metadata tables to the value -1 (for all
databases containing analytics models) after the restore op-
eration: In table NZA_META_MODELS, these are the col-
umns OWNERID and CREATORID; and in table
NZA_META_COMPONENTS, the column OBJID.
2. Restore of a database containing metadata management
views may fail due to issues SWS-72806 and SWS-74893.
This is a NON-FATAL error; the database and all the data in
the tables will be restored correctly, but some views MAY be
missing. These views can be manually re-created by doing
the following:
Log in as ADMIN
Find the Model IDs for all models that have a column
properties view registered in MM:
select id from nza_meta_components
where usagetype = 'Column Properties';
For all these IDs (here with ID 29 as example), run the
following two internal procedures:
call nza.._sp_meta_remove_component(
29, 'Column Properties', -1);
call nza.._sp_meta_create_column_property_view(
29, 'COLNAME', false);
EXT-2255 STD_NORM STD_NORM returns columns with null values even though stan-
dardization and normalization is feasible. This issue that may in-
directly impact KMEANS auto-transformation since KMEANS au-
tomatic standardization or normalization may returns columns
with null values when columns have very small variance values.
EXT-2318 TBNET_APPLY The output table is different in this release. The prediction col-
umn is named <colname>_PRED instead of <colname>_pred.
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