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Some of the users want to use LSTM model in SPSS Modeler. We can use python for spark in SPSS Modeler but python for spark does not support LSTM model. Can you implement a modeling node for using LSTM model in SPSS Modeler?
Salesforce connector: support Loyalty Cloud module
A few months ago the need to access the Salesforce platform via SPSS emerged, in particular the Loyalty Cloud module, which was recently released on the market.Loyalty Cloud objects are available starting from version 51 of the APIs but, actually,...
We were trying to export an advanced model "XGBoost"(from scikit learn) created in SPSS Modeler with Python. The exportation was addressing problems as the PMML export function is not available. It would be great if this fuction is implemented y f...
Calculate classification probabilities for more than two classes
In SPSS Statistics and in open source languages (e.g. R), when you use a classification algorithm to classify more than two groups (e.g. 4 groups), the probabilities are provided for each class (not just the predicted class). This is important bec...
Hello,I would need to interact with the Denodo platform, according to the compatibility matrix it is currently not a support platformCould you develop the connector for that platform in the next releases?Thank you
Distribute custom nodes without disclosing the logic of the custom nodes
want a way to distribute custom nodes without disclosing the logic of the custom nodes.Currently, when custom nodes are distributed, people can see the logic of the node.want a way to distribute custom nodes without disclosing the logic, for examp...
want to manipulate a custom node from a stream script.Currently, it is possible to create a custom node from a stream script using "createAt", but it is not possible to set the value using "setPropertyValue".Since custom nodes cannot be manipulate...
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