Parameters for Daal4py Decision Tree Regression model

[tcs_hormazd]

Hello,

For Intel's Daal4py Decision Tree Regression model, certain decision tree parameters are not listed as parameters (e.g. min_samples_split and max_features, which are parameters for decision trees in other implementations such as the sklearn.tree.DecisionTreeRegressor()). Is there any way that those parameters can be adjusted for intel daal4py decision tree regression models?

Also, does the daal4py Decision Tree Regression model have any 'engine' parameter, similar to what Decision Forest Regression has and what GBT regression has? No 'engine' parameter is listed in the documentation of the daal4py Decision Tree Regression model here: Algorithms — daal4py 2021.1 documentation (intelpython.github.io) and attempts to pass an engine parameter lead to errors. Is there some other to set the seed for the daal4py decision tree regression model?

[AthiraM_Intel]

Hi,

Thank you for posting in Intel Communities.

We are checking on it internally, will let you know the updates soon.

Thanks.

[AthiraM_Intel · Accepted solution]

Hi,

Sorry for the delay.

For your information, as of now we don't have the parameter settings you mentioned. There is a plan to include these parameters in future.

Hope this answers your query. If you have any other issue, please let us know.

Thanks.

[tcs_hormazd]

Hello,

No problem.

Thank you for your help with this query.

[AthiraM_Intel]

Hi,

Thanks for accepting our solution. If you need any additional information, please post a new question as this thread will no longer be monitored by Intel. 

Thanks.