microsoft
Support multiple treatments in Causal ML
Is your feature request related to a problem? Please describe. My causal ML problem has multiple treatment variables. I am trying it with EconML and it works but it needs too much memory - it doesn't scale up to big data. But it looks like SynapseML causal ml only supports a single treatment. Or am I misunderstanding it.
Describe the solution you'd like Many DoubleML techniques support multiple treatments. For example, this is supported in EconML DML classes. Are there any plans to add support for multiple treatments in the SynapseML Causal ML library?
Additional context This would help make the causal ML tools practical in the real world - most non-academic problems have multiple treatment variables.
I think you could try upliftml, this is based on spark environment, and works for me
I think you could try upliftml, this is based on spark environment, and works for me
it only support binary treatment
