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your proposed hybrid approach is it applicable for multiclass dataset?
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Hello, I am an author of [Dask](http://dask.pydata.org/en/latest/), a library for parallel and distributed computing in Python. I am curious if there is interest within this community to collaborate …
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Hi all,
I am about running experiments with Gaussian Processes for classification, using the GPFlow engine.
I got stuck with handling unbalanced classes. I know there are several different appro…
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**Description**
At the moment, builtin entities are not preprocessed when training the intent classifier, which means that classification will be influenced by which values are present in each inte…
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#### Description
Error while importing `classification_report_imbalanced`
#### Steps/Code to Reproduce
`from imblearn.metrics import classification_report_imbalanced`
#### …
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I’m a speech researcher and I want use common voice speech data for my experiments. Unfortunately there is a big problem with how the corpus (v1) and specifically the train/test/dev split is designed.…
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Hello!
I am about to implement a new loos function. My data is quite imbalanced, and thus I would like to pay more attention to the class with few samples.
It is regarding binary classification …
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if train and test data are biased to for example one class than training process will be biased
http://machinelearningmastery.com/tactics-to-combat-imbalanced-classes-in-your-machine-learning-dataset…
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Throughout our initial review of papers, our guiding question has been: _What would need to be true for deep learning to transform how we categorize, study, and treat individuals to maintain or restor…
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Hey folks---Sorry if this isn't the best place to ask, since this isn't a problem with {mxnet} but a question. I'm using {mxnet} to fit a feed forward network for text classification, where I'm catego…