best detailed tutorial I have watched till now actually I wanted to learn how to "build a binary classification model using auto AI experiment", I am newbie here, so please can you make a detailed video on it.
Can we run a deep learning model here, What if I want to convert trained deep learning model into API .. I don't want to import any dataset , just import trained dataset alone.. is that possible?? kindly clear this doubt...
It’s impressive madame , but I have encounter a problem when I run the cell it still doesn’t generate the space I’d , and I have already created the new deployment space too . So could u pls help me out with that. Looking forward to hearing back from you . Thanks
Wonderful tutorial! I required it so much
Great video! You did excellently well. It will be nice if you attach the code here to make it easier for me to use and edit.
How to import a trained model in tensorflow into IBM watson please?
best detailed tutorial I have watched till now
actually I wanted to learn how to "build a binary classification model using auto AI experiment", I am newbie here, so please can you make a detailed video on it.
can I access free sample data from the IBM weather API ? if so how ? your input is highly appreciated
I want to analyse data and do a research, wjat ibm service is best?
Great video!
Can we run a deep learning model here, What if I want to convert trained deep learning model into API ..
I don't want to import any dataset , just import trained dataset alone..
is that possible??
kindly clear this doubt...
Thanks a bundle mam....
It helps me alot...
It’s impressive madame , but I have encounter a problem when I run the cell it still doesn’t generate the space I’d , and I have already created the new deployment space too . So could u pls help me out with that. Looking forward to hearing back from you . Thanks
I'm also facing the same issue... How did u solve it??
WMLClientError occurred while storing the model in the deployment space....How to resolve this error
I have changed, software_spec_uid = """""("runtime-22.1-py3.9")
And it's worked
NameError: name 'client' is not defined ...?
Can I get this python codes?
For Latest Deployment we can use this:
software_spec_uid = client.software_specifications.get_uid_by_name('runtime-22.2-py3.10')
software_spec_uid
metadata = {
client.repository.ModelMetaNames.NAME: 'Churn model',
client.repository.ModelMetaNames.TYPE: 'scikit-learn_1.1',
client.repository.ModelMetaNames.SOFTWARE_SPEC_UID: software_spec_uid
}
published_model = client.repository.store_model(
model=clf,
meta_props=metadata,
training_data=X_train,
training_target=y_train)
Maam Really not understood maam🙂
I didn't get any add project in my cloud
I request everyone to see this
get the UID name for "runtime-22.1-py3.9" for the specification
and use get_model_id to get model_id