GLmontanari

Results 9 comments of GLmontanari

Hi! Any updates about this? I can't find the function "is_connected" in the latest release (0.98.12 from PyPI)

Hi , I'm not sure this is the right place for this, but I think it the tutorials would be more understandable if the code showed also the includer files...

I know and I did. I just wanted to point out that if you make an installation package, at least the example of the example folder should work at first...

I am sharing with you an excerpt of `pip list` ``` ... daal 2024.5.0 daal4py 2024.5.0 ... dpcpp-cpp-rt 2024.2.0 dpctl 0.17.0 ... fsspec 2024.2.0 ... intel-cmplr-lib-rt 2024.2.0 intel-cmplr-lib-ur 2024.2.0 intel-cmplr-lic-rt...

latest version not working either. just checked. It's the 2024.6.0

Of course I tried `daal_model = d4p.mb.convert_model(lgb_model)` and it's not working as well.

Here is my code, copied from the example: ``` lgb_model = lgb.LGBMClassifier().fit(x_train, y_train) lgb_pred = lgb_model.predict(x_test) daal_model = d4p.mb.convert_model(lgb_model) daal_model.predict(x_test) ``` Following is the error message ``` --------------------------------------------------------------------------- TypeError Traceback...

Wait. I got your point. This is working: ``` lgb_train = lgb.Dataset(x_train, y_train, free_raw_data=False) params = { "max_bin": 256, "scale_pos_weight": 2, "lambda_l2": 1, "alpha": 0.9, "max_depth": 6, "num_leaves": 2**6, "verbose":...

Ok. So I was not understanding that `LGBMClassifier `is not supported. I can get the same result by using `lgb.train()` and specifying, for my case, `objective='multiclass'`. Thank you!