in ver 4.3.0 I can`t import linear_svm about mlpack HOT 5 CLOSED

Can you provide more information on what you tried to do? This is not enough for me to help debug your problem.

If you wanted to import linear_svm(), you would use from mlpack import linear_svm.

from mlpack.

Thanks for your reply;
Here is screenshot of my code. And the error showed on the consol.

from mlpack.

The error says Must pass either 'training' or 'input_model' or both!. Did you try consulting the linear_svm() documentation and ensure you were calling the function with correct arguments?

from mlpack.

Thanks, I found the python_documentation, and now run normally.

from mlpack.

Facing other question:
After reading the doc, I want to use trained model to predict one of embeddings as the formats in doc, but has error occured on line 84 :
[FATAL] Test data dimensionality (1) must be the same as the dimensionality of the training data (512)!
What should i coding.
in code: variable "emb_array" which dims is [250,512],and emb dims is [1,512].
Thanks!

from mlpack.